794 Teradata Jobs - Page 20

Overview Enterprise Data Operations Assoc Manager Job Overview: As Data Modelling Assoc Manager, you will be the key technical expert overseeing data modeling and drive a strong vision for how data modelling can proactively create a positive impact on the business. You'll be empowered to create & lead a strong team of data modelers who create data models for deploying in Data Foundation layer and ingesting data from various source systems, rest data on the PepsiCo Data Lake, and enable exploration and access for analytics, visualization, machine learning, and product development efforts across the company. As a member of the data modelling team, you will create data models for very large and complex data applications in public cloud environments directly impacting the design, architecture, and implementation of PepsiCo's flagship data products around topics like revenue management, supply chain, manufacturing, and logistics. You will independently be analyzing project data needs, identifying data storage and integration needs/issues, and driving opportunities for data model reuse, satisfying project requirements. Role will advocate Enterprise Architecture, Data Design, and D&A standards, and best practices. You will be a key technical expert performing all aspects of Data Modelling working closely with Data Governance, Data Engineering and Data Architects teams. You will provide technical guidance to junior members of the team as and when needed. The primary responsibilities of this role are to work with data product owners, data management owners, and data engineering teams to create physical and logical data models with an extensible philosophy to support future, unknown use cases with minimal rework. You'll be working in a hybrid environment with in-house, on-premises data sources as well as cloud and remote systems. You will establish data design patterns that will drive flexible, scalable, and efficient data models to maximize value and reuse. Responsibilities Responsibilities: Independently complete conceptual, logical and physical data models for any supported platform, including SQL Data Warehouse, EMR, Spark, Data Bricks, Snowflake, Azure Synapse or other Cloud data warehousing technologies. Governs data design/modeling - documentation of metadata (business definitions of entities and attributes) and constructions database objects, for baseline and investment funded projects, as assigned. Provides and/or supports data analysis, requirements gathering, solution development, and design reviews for enhancements to, or new, applications/reporting. Supports assigned project contractors (both on- & off-shore), orienting new contractors to standards, best practices, and tools. Advocates existing Enterprise Data Design standards; assists in establishing and documenting new standards. Contributes to project cost estimates, working with senior members of team to evaluate the size and complexity of the changes or new development. Ensure physical and logical data models are designed with an extensible philosophy to support future, unknown use cases with minimal rework. Develop a deep understanding of the business domain and enterprise technology inventory to craft a solution roadmap that achieves business objectives, maximizes reuse. Partner with IT, data engineering and other teams to ensure the enterprise data model incorporates key dimensions needed for the proper management: business and financial policies, security, local-market regulatory rules, consumer privacy by design principles (PII management) and all linked across fundamental identity foundations. Drive collaborative reviews of design, code, data, security features implementation performed by data engineers to drive data product development. Assist with data planning, sourcing, collection, profiling, and transformation. Create Source To Target Mappings for ETL and BI developers. Show expertise for data at all levels: low-latency, relational, and unstructured data stores; analytical and data lakes; data streaming (consumption/production), data in-transit. Develop reusable data models based on cloud-centric, code-first approaches to data management and cleansing. Partner with the data science team to standardize their classification of unstructured data into standard structures for data discovery and action by business customers and stakeholders. Support data lineage and mapping of source system data to canonical data stores for research, analysis and productization. Qualifications Qualifications: 12+ years of overall technology experience that includes at least 6+ years of data modelling and systems architecture. 6+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools. 6+ years of experience developing enterprise data models. 6+ years in cloud data engineering experience in at least one cloud (Azure, AWS, GCP). 6+ years of experience with building solutions in the retail or in the supply chain space. Expertise in data modelling tools (ER/Studio, Erwin, IDM/ARDM models). Fluent with Azure cloud services. Azure Certification is a plus. Experience scaling and managing a team of 5+ data modelers Experience with integration of multi cloud services with on-premises technologies. Experience with data profiling and data quality tools like Apache Griffin, Deequ, and Great Expectations. Experience with at least one MPP database technology such as Redshift, Synapse, Teradata, or Snowflake. Experience with version control systems like GitHub and deployment & CI tools. Experience with Azure Data Factory, Databricks and Azure Machine learning is a plus. Experience of metadata management, data lineage, and data glossaries is a plus. Working knowledge of agile development, including DevOps and DataOps concepts. Familiarity with business intelligence tools (such as PowerBI). Skills, Abilities, Knowledge: Excellent communication skills, both verbal and written, along with the ability to influence and demonstrate confidence in communications with senior level management. Proven track record of leading, mentoring, hiring and scaling data teams. Strong change manager. Comfortable with change, especially that which arises through company growth. Ability to understand and translate business requirements into data and technical requirements. High degree of organization and ability to manage multiple, competing projects and priorities simultaneously. Positive and flexible attitude to enable adjusting to different needs in an ever-changing environment. Strong leadership, organizational and interpersonal skills; comfortable managing trade-offs. Foster a team culture of accountability, communication, and self-management. Proactively drives impact and engagement while bringing others along. Consistently attain/exceed individual and team goals Ability to lead others without direct authority in a matrixed environment. Differentiating Competencies Required Ability to work with virtual teams (remote work locations); lead team of technical resources (employees and contractors) based in multiple locations across geographies Lead technical discussions, driving clarity of complex issues/requirements to build robust solutions Strong communication skills to meet with business, understand sometimes ambiguous, needs, and translate to clear, aligned requirements Able to work independently with business partners to understand requirements quickly, perform analysis and lead the design review sessions. Highly influential and having the ability to educate challenging stakeholders on the role of data and its purpose in the business. Places the user in the center of decision making. Teams up and collaborates for speed, agility, and innovation. Experience with and embraces agile methodologies. Strong negotiation and decision-making skill. Experience managing and working with globally distributed teams. 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Overview Provide the job title you would like to be displayed on the job posting: Data Platform Engineer - Transformation & Modernization Job Overview: A Data Platform Engineer to be a key player in our transformation and modernization programs, leading the migration of applications from legacy systems to Azure-based architectures. This role involves designing, implementing, and optimizing scalable, cloud-native data solutions using Databricks, Azure DevOps (ADO), and Agile development methodologies. As an active contributor to code development, you will help drive automation, operational excellence, and data quality across our platforms. You will collaborate with data science and product teams to create solutions that enhance our data-driven decision-making capabilities. Responsibilities Responsibilities: Lead the migration and modernization of data platforms, moving applications and pipelines to Azure-based solutions. Actively contribute to code development in projects and services. Manage and scale data pipelines from internal and external data sources to support new product launches and ensure high data quality. Develop automation and monitoring frameworks to capture key metrics and operational KPIs for pipeline performance. Implement best practices around systems integration, security, performance, and data management. Collaborate with internal teams, including data science and product teams, to drive solutioning and proof-of-concept (PoC) discussions. Develop and optimize procedures to transition data into production. Define and manage SLAs for data products and operational processes. Prototype and build scalable solutions for data engineering and analytics. Research and apply state-of-the-art methodologies in data and Platform engineering. Create and maintain technical documentation for knowledge sharing. Develop reusable packages and libraries to enhance development efficiency. Qualifications Qualifications: Bachelor’s degree in Computer Science, MIS, Business Management, or related field 10 + years’ experience in Information Technology 4 + years of Azure, AWS and Cloud technologies Experience in data platform engineering, with a focus on cloud transformation and modernization. Strong knowledge of Azure services, including Databricks, Azure Data Factory, Synapse Analytics, and Azure DevOps (ADO). Proficiency in SQL, Python, and Spark for data engineering tasks. Hands-on experience building and scaling data pipelines in cloud environments. Experience with CI/CD pipeline management in Azure DevOps (ADO). Understanding of data governance, security, and compliance best practices. Experience working in an Agile development environment. Prior experience in migrating applications from legacy platforms to the cloud. Knowledge of Terraform or Infrastructure-as-Code (IaC) for cloud resource management. Familiarity with Kafka, Event Hubs, or other real-time data streaming solutions. Experience with lagacy RDBMS (Oracl, DB2, Teradata) Background in supporting data science models in production. Does the person hired for this job need to be based in a PepsiCo office, or can they be remote?: Employee must be based in a Pepsico office Primary Work Location: Hyderabad HUB-IND Is this role approved for relocation?: No Would you like to initially post this job internally-only or both internally and externally?: Post both internally and externally Show more Show less

Overview Data Engineering Assoc Manager (L09). Responsibilities Enhance and maintain data pipelines on EDF Requirement analysis, data analysis Work on application migration from Teradata to EDF Lead a team of data engineers and testers Qualifications Data engineer with 10+ years of experience Show more Show less

Work closely with source data application teams and product owners to design, implement and support analytics solutions that provide insights to make better decisions. Implement data migration and data engineering solutions using Azure products and services: (Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks, etc.) and traditional data warehouse tools. Perform multiple aspects involved in the development lifecycle. Design, cloud engineering (Infrastructure, network, security, and administration), ingestion, preparation, data modeling, testing, CICD pipelines, performance tuning, deployments, consumption, BI, alerting, prod support. Provide technical leadership and collaborate within a team environment as well as work independently. Be a part of a DevOps team that completely owns and supports their product. Implement batch and streaming data pipelines using cloud technologies. Leads development of coding standards, best practices and privacy and security guidelines. Mentors' others on technical and domain skills to create multi-functional teams All you'll need for success. Minimum Qualifications: Education & Prior Job Experience 1. Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 2. 3 years software solution development using agile, DevOps, operating in a product model that includes designing, developing, and implementing large-scale applications or data engineering solutions 3. 3 years Data Engineering experience using SQL 4. 2 years of cloud development (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Power Apps and Power BI. 5. Combination of Development, Administration & Support experience in several of the following tools/platforms required: a. Scripting: Python, PySpark, Unix, SQL b. Data Platforms: Teradata, SQL Server c. Azure Data Explorer. Administration skills are a plus d. Azure Cloud Technologies: Top 3 Mandatory Skills and Experience: SQL, Python, PySpark

Overview Primary focus would be to lead development work within Azure Data Lake environment and other related ETL technologies, with the responsibility of ensuring on time and on budget delivery; Satisfying project requirements, while adhering to enterprise architecture standards. This role will also have L3 responsibilities for ETL processes Responsibilities Delivery of key Enterprise Data Warehouse and Azure Data Lake projects within time and budget Contribute to solution design and build to ensure scalability, performance and reuse of data and other components Ensure on time and on budget delivery which satisfies project requirements, while adhering to enterprise architecture standards. Possess strong problem-solving abilities with a focus on managing to business outcomes through collaboration with multiple internal and external parties Enthusiastic, willing, able to learn and continuously develop skills and techniques - enjoys change and seeks continuous improvement A clear communicator both written and verbal with good presentational skills, fluent and proficient in the English language Customer focused and a team player Qualifications Experience Bachelor’s degree in Computer Science, MIS, Business Management, or related field 3+ years’ experience in Information Technology 1+ years’ experience in Azure Data Lake Technical Skills Proven experience development activities in Data, BI or Analytics projects Solutions Delivery experience - knowledge of system development lifecycle, integration, and sustainability Strong knowledge of Teradata architecture and SQL Good knowledge of Azure data factory or Databricks Knowledge of Presto / Denodo / Infoworks is desirable Knowledge of data warehousing concepts and data catalog tools (Alation) Show more Show less

Overview This role serves as an Associate Analyst for the GTM Data analytics COE project development team. This role is one of the go-to resource for building/ maintaining key reports, data pipelines and advanced analytics necessary to bring insights to light for senior leaders and Sector and field end users. Responsibilities The COE’s core competencies are a mastery of data visualization, data engineering, data transformation, predictive and prescriptive analytics Enhance data discovery, processes, testing, and data acquisition from multiple platforms. Apply detailed knowledge of PepsiCo’s applications for root-cause problem-solving. Ensure compliance with PepsiCo IT governance rules and design best practices. Participate in project planning with stakeholders to analyze business opportunities and define end-to-end processes. Translate operational requirements into actionable data presentations. Support data recovery and integrity issue resolution between business and PepsiCo IT. Provide performance reporting for the GTM function, including ad-hoc requests using internal, shipment data systems Develop on-demand reports and scorecards for improved agility and visualization. Collate and analyze large data sets to extract meaningful insights on performance trends and opportunities. Present insights and recommendations to the GTM Leadership team regularly. Manage expectations through effective communication with headquarters partners. Ensure timely and accurate data delivery per service level agreements (SLA). Collaborate across functions to gather insights for action-oriented analysis. Identify and act on opportunities to improve work delivery. Implement process improvements, reporting standardization, and optimal technology use. Foster an inclusive and collaborative environment. Provide baseline support for monitoring SPA mailboxes, work intake, and other ad-hoc requests.Additionally, the role will provide baseline support for monitoring work intake & other adhoc requests, queries Qualifications Undergrad degree in Business or related technology 3-4 Yrs working experience in Power BI 1-2 Yrs working experience in SQL and Python Preferred qualifications: Information technology or analytics experience is a plus Familiarity with Power BI/ Tableau, Python, SQL, Teradata, Azure, MS Fabric Requires a level of analytical, critical thinking, and problem-solving skills as well as great attention to detail Strong time management skills, ability to multitask, set priorities, and plan Show more Show less

Work closely with source data application teams and product owners to design, implement and support analytics solutions that provide insights to make better decisions. Implement data migration and data engineering solutions using Azure products and services: (Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks, etc.) and traditional data warehouse tools. Perform multiple aspects involved in the development lifecycle. Design, cloud engineering (Infrastructure, network, security, and administration), ingestion, preparation, data modeling, testing, CICD pipelines, performance tuning, deployments, consumption, BI, alerting, prod support. Provide technical leadership and collaborate within a team environment as well as work independently. Be a part of a DevOps team that completely owns and supports their product. Implement batch and streaming data pipelines using cloud technologies. Leads development of coding standards, best practices and privacy and security guidelines. Mentors' others on technical and domain skills to create multi-functional teams All you'll need for success. Minimum Qualifications: Education & Prior Job Experience 1. Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training 2. 3 years software solution development using agile, DevOps, operating in a product model that includes designing, developing, and implementing large-scale applications or data engineering solutions 3. 3 years Data Engineering experience using SQL 4. 2 years of cloud development (prefer Microsoft Azure) including Azure EventHub, Azure Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Power Apps and Power BI. 5. Combination of Development, Administration & Support experience in several of the following tools/platforms required: a. Scripting: Python, PySpark, Unix, SQL b. Data Platforms: Teradata, SQL Server c. Azure Data Explorer. Administration skills are a plus d. Azure Cloud Technologies: Top 3 Mandatory Skills and Experience: SQL, Python, PySpark

At eBay, we're more than a global ecommerce leader — we’re changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We’re committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts. Our customers are our compass, authenticity thrives, bold ideas are welcome, and everyone can bring their unique selves to work — every day. We're in this together, sustaining the future of our customers, our company, and our planet. Join a team of passionate thinkers, innovators, and dreamers — and help us connect people and build communities to create economic opportunity for all. Role Overview The Tax Data Solutions team is responsible for delivering business insights and high impact analyses to the Tax function in eBay. The team addresses strategic and operational questions facing the business including process automations, business sizing and impact measurement, and data science solutions. The role is data and analytically intensive. Successful candidates will offer a strategic perspective, sound business judgment and a collaborative working style. They will possess strong intellectual curiosity, and a passion for achieving practical business impact. Primary Job Responsibilities Use SQL/Python/Alteryx to analyse data, create summarized reports and provide insights and recommendations Create Tableau dashboards for continuous monitoring of important business metrics Establish a monitoring framework for business initiatives and ensure business unit is alerted in case of Issue. Perform ad-hoc analysis to support data driven decisions for tax business Do risk assessments of new tax rules, calculate out of pocket expenses Calculate the breakage in GMV/Revenue because of tax law changes Present analysis to stakeholders independently Perform peer QC of codes and deliverables to ensure most accurate reports are sent out Build close partnership with the business unit to Identify and Explore areas of impactful analytics and operational opportunities to help drive Operational efficiencies and Cost Reduction Post-launch monitoring: measure performance of features and programs post launch and report back to product and business teams. Promote a self-serve analytics culture for the organization by educating partners on key reports, data, and interpretation best practices. Maintain a close and pro-active collaboration with other business functions like Customer Services, Legal, Product and Finance teams to ensure visibility across functions Job Skills Required Intellectual curiosity, passion for problem-solving, and comfort with ambiguity Excellent technical skills for data analysis and process development, especially SQL. Alteryx and Python skills are also good to have. A proven track record of end to end analytics - problem definition, collating the required information, analyzing the results, synthesizing and communicating a compelling argument and influencing partners to act Proficient in data visualization and Self-serve tools like Tableau Experienced in handling big data (Hadoop, Teradata, etc.) Agile experience Ability to translate commercial requirements into software solutions Capable to work independently while acting as part of a global tax team Desired Qualifications ~6 years of experience in Advanced Analytics Proven knowledge in SQL programming language. Python and Alteryx is a good to have skill. Please see the Talent Privacy Notice for information regarding how eBay handles your personal data collected when you use the eBay Careers website or apply for a job with eBay. eBay is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, veteran status, and disability, or other legally protected status. If you have a need that requires accommodation, please contact us at talent@ebay.com. We will make every effort to respond to your request for accommodation as soon as possible. View our accessibility statement to learn more about eBay's commitment to ensuring digital accessibility for people with disabilities. This website uses cookies to enhance your experience. By continuing to browse the site, you agree to our use of cookies. Visit our Privacy Center for more information. Show more Show less

Our Company At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. What you will do ? Be one of the Individual Contributor and a part of our Data Science practice in GSIH India/Pakistan Be proactive and a SME in his/her skills and a great team member, specializing in AI/ML. Produce packaged solutions, AaaS offerings, in addition to supporting Analytics projects and PoCs/PoVs. Work in a team to define and execute data science solutions that address client use cases and business requirements Define activities, scope, and timelines on data science projects Deliver projects following our internal frameworks and best practices Be AI/ML expert to advice customers in defining Analytics Roadmap, Ecosystem and Architecture for Complex Enterprise Systems. Experienced in implementing AI/ML solutions in Agile environment. Discover, interpret and document unique insights in large-scale distributed datasets through exploratory analysis and the application of advanced analytical methodologies Create statistical, machine learning and deep learning models in multiple technologies using best-in-class data science approaches Prepare and conduct presentations and client workshops, communicating past experiences in sales and speaking opportunities Guide junior members of the delivery team during projects Teradata Vantage as a skill that needs to be acquired after joining Teradata Candidate will work on Teradata ClearScape Analytics Offerings Who You’ll Work With Work as an individual contributor to define and execute Advanced Analytics solutions that address client use cases and business requirements. Work in close coordination with Data Science teams in other GSIH centers as well International Data Science teams to serve global customers. Will need to be a quick learner with the desire to improve skill sets As this is a project-oriented position in either onsite or offsite situations having accountability for managing client expectations while delivering the services and solutions associated with the Teradata database This position will combine direct client consulting engagement activities, new solution development and analytics positioning responsibilities What Makes You a Qualified Candidate Bachelor’s, Master’s or PhD degree in a related discipline (Mathematics, Statistics, Computer Science, or Data Science) 5+ years of related work and/or research experience in quantitative roles In-depth knowledge in at least 2 of the following data science domains Text Mining / NLP Graph and Network Analysis Deep Learning/Gen AI Geospatial Analysis Signal Processing, Image, Video Predictive Modeling and Recommender Systems Extensive knowledge of at least one open-source scientific language such as Python Knowledge of working with AI/ML modules of cloud providers is a plus Fluency in SQL and good knowledge of relational databases Passionate about asking and answering questions in large, distributed datasets Experience with at least one general purpose, high level programming language such as C/C++, Java, PHP, or Python What You’ll Bring Experience implementing end-to-end large scale Machine Learning/AI project Experience in Python, SQL Be a clear and confident communicator with excellent presentation skills and with the ability to translate technology concepts into concise business focused messages in both technical and sales presentations Possess strong interpersonal and communication skills Be proficient in the use of both written and spoken business English Proven skills in creative-problem-solving of complex and advanced technical subject matter Possess a solid understanding of the value of data and how technology enables companies to compete better in the market place Be able to consult in a client facing environment, linking analytical solutions to the value and competitive advantage that technology can help a client deliver. Will have prior experience of working in a multi-country organization Have the ability to collaborate with an interdisciplinary team to solve problems Be self-starter with a positive attitude, intellectual curiosity and a passion for analytics and solving real world problems Be willing to travel up to 40-70% Why We Think You’ll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. Show more Show less

Our Company At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. What You’ll Do The Sr. Data Scientist is an experienced Data Scientist who would be responsible for work with the Region Solution Leads, Services sales teams, Teradata Account Teams and Product Management Team to support them on pre-sales/solutions activities. The scope of this role includes conceptualizing Use case solutions and supporting Pre-Sales initiatives. . This role will require strong technical and interpersonal skills, a deep understanding of the Business use cases, Teradata technology including ClearScape Analytics and Teradata applications, Teradata services portfolio and an understanding of the partner solutions. Key Areas of Responsibility: Support account teams and prospective customers to analyze and understand customer requirements through extensive data exploration and analysis phases Lead the discussion and conceptualization of the solutions assigned. Responsible for development of ready to engage and ready to sell collateral Use Analytical tools and Deep Learning frameworks to deliver required solutions from time to time. Actively participate in brainstorming sessions to come up with possible solutions/analytics Build solution showcases and support the account teams in high-end customer pitches Support Pre-Sales initiatives by positioning the solutions to the customers and building estimations Provide mentoring and guidance to the Pre-sales opportunities as per the customer requirements Conduct assessment and POC activities to support the Pre-Sales Teams Who You’ll Work With The successful candidate will work from any Teradata GSIH (Global Services Innovation Hub) facility or virtual in India/ Pakistan/Prague and will be expected to travel on business (20 -30% travel). What Makes You a Qualified Candidate Educational Requirements: Minimum Bachelors Degree in Data Science, AI, Engineering, Computer Science or Statistics. Preferably a Masters or Doctorate in the relevant field Technical Skill Set & Experience Required: 10+years’ experience in data driven field (e. g. BI, DWH, Analytics etc. ). Experience in data analysis is a plus. Strong hands on experience with programming languages (e. g. R, Python, Java, etc. ) Comfortable with and experience using SQL. Significant familiarity with Statistical concepts. In-depth understanding is a plus. In depth understanding of Machine Learning concepts and statistical modelling. Exposure and Experience with Artificial Intelligence and Deep Learning Business understanding for at least 2-3 fields/domains (Telco/Retail/Manufacturing/Healthcare etc. ). Ability to analyze customer technology, define business requirements & participate in risk analysis activities Strong Requirement Elicitation & Analysis skills Cloud Computing Experiences would be a plus (Azure /AWS/Google) Experience of Teradata platform would be a plus Experience as a Technical Lead both in presales support (estimating and designing customer solutions) and delivery activities (deployment of customer solutions) is a plus What You’ll Bring Ability and willingness to learn. Collaborative attitude and team player. Very strong analytical skills. Ability to independently manage critical situations. Story building skills. Critical thinker and problem-solving skills Excellent communication skills, both written and verbal, with the ability to present complex ideas to technical and non-technical audiences. Ability to coordinate with SMEs, stakeholders, manage timelines, escalation & provide on time Ability to prioritize assignments, handles shifting deadlines, and work independently as well as in a team environment. Why We Think You’ll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. Show more Show less

Our Company At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. What you will do ? Be one of the Individual Contributor and a part of our Data Science practice in GSIH India/Pakistan Be proactive and a SME in his/her skills and a great team member, specializing in AI/ML. Produce packaged solutions, AaaS offerings, in addition to supporting Analytics projects and PoCs/PoVs. Work in a team to define and execute data science solutions that address client use cases and business requirements Define activities, scope, and timelines on data science projects Deliver projects following our internal frameworks and best practices Be AI/ML expert to advice customers in defining Analytics Roadmap, Ecosystem and Architecture for Complex Enterprise Systems. Experienced in implementing AI/ML solutions in Agile environment. Discover, interpret and document unique insights in large-scale distributed datasets through exploratory analysis and the application of advanced analytical methodologies Create statistical, machine learning and deep learning models in multiple technologies using best-in-class data science approaches Prepare and conduct presentations and client workshops, communicating past experiences in sales and speaking opportunities Guide junior members of the delivery team during projects Teradata Vantage as a skill that needs to be acquired after joining Teradata Candidate will work on Teradata ClearScape Analytics Offerings Who You’ll Work With Work as an individual contributor to define and execute Advanced Analytics solutions that address client use cases and business requirements. Work in close coordination with Data Science teams in other GSIH centers as well International Data Science teams to serve global customers. Will need to be a quick learner with the desire to improve skill sets As this is a project-oriented position in either onsite or offsite situations having accountability for managing client expectations while delivering the services and solutions associated with the Teradata database This position will combine direct client consulting engagement activities, new solution development and analytics positioning responsibilities What Makes You a Qualified Candidate Bachelor’s, Master’s or PhD degree in a related discipline (Mathematics, Statistics, Computer Science, or Data Science) 5+ years of related work and/or research experience in quantitative roles In-depth knowledge in at least 2 of the following data science domains Text Mining / NLP Graph and Network Analysis Deep Learning/Gen AI Geospatial Analysis Signal Processing, Image, Video Predictive Modeling and Recommender Systems Extensive knowledge of at least one open-source scientific language such as Python Knowledge of working with AI/ML modules of cloud providers is a plus Fluency in SQL and good knowledge of relational databases Passionate about asking and answering questions in large, distributed datasets Experience with at least one general purpose, high level programming language such as C/C++, Java, PHP, or Python What You’ll Bring Experience implementing end-to-end large scale Machine Learning/AI project Experience in Python, SQL Be a clear and confident communicator with excellent presentation skills and with the ability to translate technology concepts into concise business focused messages in both technical and sales presentations Possess strong interpersonal and communication skills Be proficient in the use of both written and spoken business English Proven skills in creative-problem-solving of complex and advanced technical subject matter Possess a solid understanding of the value of data and how technology enables companies to compete better in the market place Be able to consult in a client facing environment, linking analytical solutions to the value and competitive advantage that technology can help a client deliver. Will have prior experience of working in a multi-country organization Have the ability to collaborate with an interdisciplinary team to solve problems Be self-starter with a positive attitude, intellectual curiosity and a passion for analytics and solving real world problems Be willing to travel up to 40-70% Why We Think You’ll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. Show more Show less

Our Company At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. What You’ll Do The Sr. Data Scientist is an experienced Data Scientist who would be responsible for work with the Region Solution Leads, Services sales teams, Teradata Account Teams and Product Management Team to support them on pre-sales/solutions activities. The scope of this role includes conceptualizing Use case solutions and supporting Pre-Sales initiatives. . This role will require strong technical and interpersonal skills, a deep understanding of the Business use cases, Teradata technology including ClearScape Analytics and Teradata applications, Teradata services portfolio and an understanding of the partner solutions. Key Areas of Responsibility: Support account teams and prospective customers to analyze and understand customer requirements through extensive data exploration and analysis phases Lead the discussion and conceptualization of the solutions assigned. Responsible for development of ready to engage and ready to sell collateral Use Analytical tools and Deep Learning frameworks to deliver required solutions from time to time. Actively participate in brainstorming sessions to come up with possible solutions/analytics Build solution showcases and support the account teams in high-end customer pitches Support Pre-Sales initiatives by positioning the solutions to the customers and building estimations Provide mentoring and guidance to the Pre-sales opportunities as per the customer requirements Conduct assessment and POC activities to support the Pre-Sales Teams Who You’ll Work With The successful candidate will work from any Teradata GSIH (Global Services Innovation Hub) facility or virtual in India/ Pakistan/Prague and will be expected to travel on business (20 -30% travel). What Makes You a Qualified Candidate Educational Requirements: Minimum Bachelors Degree in Data Science, AI, Engineering, Computer Science or Statistics. Preferably a Masters or Doctorate in the relevant field Technical Skill Set & Experience Required: 10+years’ experience in data driven field (e. g. BI, DWH, Analytics etc. ). Experience in data analysis is a plus. Strong hands on experience with programming languages (e. g. R, Python, Java, etc. ) Comfortable with and experience using SQL. Significant familiarity with Statistical concepts. In-depth understanding is a plus. In depth understanding of Machine Learning concepts and statistical modelling. Exposure and Experience with Artificial Intelligence and Deep Learning Business understanding for at least 2-3 fields/domains (Telco/Retail/Manufacturing/Healthcare etc. ). Ability to analyze customer technology, define business requirements & participate in risk analysis activities Strong Requirement Elicitation & Analysis skills Cloud Computing Experiences would be a plus (Azure /AWS/Google) Experience of Teradata platform would be a plus Experience as a Technical Lead both in presales support (estimating and designing customer solutions) and delivery activities (deployment of customer solutions) is a plus What You’ll Bring Ability and willingness to learn. Collaborative attitude and team player. Very strong analytical skills. Ability to independently manage critical situations. Story building skills. Critical thinker and problem-solving skills Excellent communication skills, both written and verbal, with the ability to present complex ideas to technical and non-technical audiences. Ability to coordinate with SMEs, stakeholders, manage timelines, escalation & provide on time Ability to prioritize assignments, handles shifting deadlines, and work independently as well as in a team environment. Why We Think You’ll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. Show more Show less

More than 5+ years of experience in data modelling – designing, implementing, and maintaining data models to support data quality, performance and scalability. Proven experience as a Data Modeler and worked with data analysts, data architects and business stakeholders to ensure data models are aligned to business requirements. Expertise in data modeling tools (ER/Studio, Erwin, IDM/ARDM models, CPG / Manufacturing/Sales/Finance/Supplier/Customer domains ) Experience with at least one MPP database technology such as Databricks Lakehouse, Redshift, Synapse, Teradata, or Snowflake. Experience with version control systems like GitHub and deployment & CI tools. Experience of metadata management, data lineage, and data glossaries is a plus. Working knowledge of agile development, including DevOps and DataOps concepts. Working knowledge of SAP data models, particularly in the context of HANA and S/4HANA, Retails Data like IRI, Nielsen Retail. Must Have: Data Modeling, Data Modeling Tool experience, SQL Nice to Have: SAP HANA, Data Warehouse, Databricks, CPG"

Our Company At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. What You’ll Do The Sr. Data Scientist is an experienced Data Scientist who would be responsible for work with the Region Solution Leads, Services sales teams, Teradata Account Teams and Product Management Team to support them on pre-sales/solutions activities. The scope of this role includes conceptualizing Use case solutions and supporting Pre-Sales initiatives. . This role will require strong technical and interpersonal skills, a deep understanding of the Business use cases, Teradata technology including ClearScape Analytics and Teradata applications, Teradata services portfolio and an understanding of the partner solutions. Key Areas of Responsibility: Support account teams and prospective customers to analyze and understand customer requirements through extensive data exploration and analysis phases Lead the discussion and conceptualization of the solutions assigned. Responsible for development of ready to engage and ready to sell collateral Use Analytical tools and Deep Learning frameworks to deliver required solutions from time to time. Actively participate in brainstorming sessions to come up with possible solutions/analytics Build solution showcases and support the account teams in high-end customer pitches Support Pre-Sales initiatives by positioning the solutions to the customers and building estimations Provide mentoring and guidance to the Pre-sales opportunities as per the customer requirements Conduct assessment and POC activities to support the Pre-Sales Teams Who You’ll Work With The successful candidate will work from any Teradata GSIH (Global Services Innovation Hub) facility or virtual in India/ Pakistan/Prague and will be expected to travel on business (20 -30% travel). What Makes You a Qualified Candidate Educational Requirements: Minimum Bachelors Degree in Data Science, AI, Engineering, Computer Science or Statistics. Preferably a Masters or Doctorate in the relevant field Technical Skill Set & Experience Required: 10+years’ experience in data driven field (e. g. BI, DWH, Analytics etc. ). Experience in data analysis is a plus. Strong hands on experience with programming languages (e. g. R, Python, Java, etc. ) Comfortable with and experience using SQL. Significant familiarity with Statistical concepts. In-depth understanding is a plus. In depth understanding of Machine Learning concepts and statistical modelling. Exposure and Experience with Artificial Intelligence and Deep Learning Business understanding for at least 2-3 fields/domains (Telco/Retail/Manufacturing/Healthcare etc. ). Ability to analyze customer technology, define business requirements & participate in risk analysis activities Strong Requirement Elicitation & Analysis skills Cloud Computing Experiences would be a plus (Azure /AWS/Google) Experience of Teradata platform would be a plus Experience as a Technical Lead both in presales support (estimating and designing customer solutions) and delivery activities (deployment of customer solutions) is a plus What You’ll Bring Ability and willingness to learn. Collaborative attitude and team player. Very strong analytical skills. Ability to independently manage critical situations. Story building skills. Critical thinker and problem-solving skills Excellent communication skills, both written and verbal, with the ability to present complex ideas to technical and non-technical audiences. Ability to coordinate with SMEs, stakeholders, manage timelines, escalation & provide on time Ability to prioritize assignments, handles shifting deadlines, and work independently as well as in a team environment. Why We Think You’ll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. Show more Show less

Our Company At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. What you will do ? Be one of the Individual Contributor and a part of our Data Science practice in GSIH India/Pakistan Be proactive and a SME in his/her skills and a great team member, specializing in AI/ML. Produce packaged solutions, AaaS offerings, in addition to supporting Analytics projects and PoCs/PoVs. Work in a team to define and execute data science solutions that address client use cases and business requirements Define activities, scope, and timelines on data science projects Deliver projects following our internal frameworks and best practices Be AI/ML expert to advice customers in defining Analytics Roadmap, Ecosystem and Architecture for Complex Enterprise Systems. Experienced in implementing AI/ML solutions in Agile environment. Discover, interpret and document unique insights in large-scale distributed datasets through exploratory analysis and the application of advanced analytical methodologies Create statistical, machine learning and deep learning models in multiple technologies using best-in-class data science approaches Prepare and conduct presentations and client workshops, communicating past experiences in sales and speaking opportunities Guide junior members of the delivery team during projects Teradata Vantage as a skill that needs to be acquired after joining Teradata Candidate will work on Teradata ClearScape Analytics Offerings Who You’ll Work With Work as an individual contributor to define and execute Advanced Analytics solutions that address client use cases and business requirements. Work in close coordination with Data Science teams in other GSIH centers as well International Data Science teams to serve global customers. Will need to be a quick learner with the desire to improve skill sets As this is a project-oriented position in either onsite or offsite situations having accountability for managing client expectations while delivering the services and solutions associated with the Teradata database This position will combine direct client consulting engagement activities, new solution development and analytics positioning responsibilities What Makes You a Qualified Candidate Bachelor’s, Master’s or PhD degree in a related discipline (Mathematics, Statistics, Computer Science, or Data Science) 5+ years of related work and/or research experience in quantitative roles In-depth knowledge in at least 2 of the following data science domains Text Mining / NLP Graph and Network Analysis Deep Learning/Gen AI Geospatial Analysis Signal Processing, Image, Video Predictive Modeling and Recommender Systems Extensive knowledge of at least one open-source scientific language such as Python Knowledge of working with AI/ML modules of cloud providers is a plus Fluency in SQL and good knowledge of relational databases Passionate about asking and answering questions in large, distributed datasets Experience with at least one general purpose, high level programming language such as C/C++, Java, PHP, or Python What You’ll Bring Experience implementing end-to-end large scale Machine Learning/AI project Experience in Python, SQL Be a clear and confident communicator with excellent presentation skills and with the ability to translate technology concepts into concise business focused messages in both technical and sales presentations Possess strong interpersonal and communication skills Be proficient in the use of both written and spoken business English Proven skills in creative-problem-solving of complex and advanced technical subject matter Possess a solid understanding of the value of data and how technology enables companies to compete better in the market place Be able to consult in a client facing environment, linking analytical solutions to the value and competitive advantage that technology can help a client deliver. Will have prior experience of working in a multi-country organization Have the ability to collaborate with an interdisciplinary team to solve problems Be self-starter with a positive attitude, intellectual curiosity and a passion for analytics and solving real world problems Be willing to travel up to 40-70% Why We Think You’ll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. Show more Show less

Our Company At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. What you will do ? Be one of the Individual Contributor and a part of our Data Science practice in GSIH India/Pakistan Be proactive and a SME in his/her skills and a great team member, specializing in AI/ML. Produce packaged solutions, AaaS offerings, in addition to supporting Analytics projects and PoCs/PoVs. Work in a team to define and execute data science solutions that address client use cases and business requirements Define activities, scope, and timelines on data science projects Deliver projects following our internal frameworks and best practices Be AI/ML expert to advice customers in defining Analytics Roadmap, Ecosystem and Architecture for Complex Enterprise Systems. Experienced in implementing AI/ML solutions in Agile environment. Discover, interpret and document unique insights in large-scale distributed datasets through exploratory analysis and the application of advanced analytical methodologies Create statistical, machine learning and deep learning models in multiple technologies using best-in-class data science approaches Prepare and conduct presentations and client workshops, communicating past experiences in sales and speaking opportunities Guide junior members of the delivery team during projects Teradata Vantage as a skill that needs to be acquired after joining Teradata Candidate will work on Teradata ClearScape Analytics Offerings Who You’ll Work With Work as an individual contributor to define and execute Advanced Analytics solutions that address client use cases and business requirements. Work in close coordination with Data Science teams in other GSIH centers as well International Data Science teams to serve global customers. Will need to be a quick learner with the desire to improve skill sets As this is a project-oriented position in either onsite or offsite situations having accountability for managing client expectations while delivering the services and solutions associated with the Teradata database This position will combine direct client consulting engagement activities, new solution development and analytics positioning responsibilities What Makes You a Qualified Candidate Bachelor’s, Master’s or PhD degree in a related discipline (Mathematics, Statistics, Computer Science, or Data Science) 5+ years of related work and/or research experience in quantitative roles In-depth knowledge in at least 2 of the following data science domains Text Mining / NLP Graph and Network Analysis Deep Learning/Gen AI Geospatial Analysis Signal Processing, Image, Video Predictive Modeling and Recommender Systems Extensive knowledge of at least one open-source scientific language such as Python Knowledge of working with AI/ML modules of cloud providers is a plus Fluency in SQL and good knowledge of relational databases Passionate about asking and answering questions in large, distributed datasets Experience with at least one general purpose, high level programming language such as C/C++, Java, PHP, or Python What You’ll Bring Experience implementing end-to-end large scale Machine Learning/AI project Experience in Python, SQL Be a clear and confident communicator with excellent presentation skills and with the ability to translate technology concepts into concise business focused messages in both technical and sales presentations Possess strong interpersonal and communication skills Be proficient in the use of both written and spoken business English Proven skills in creative-problem-solving of complex and advanced technical subject matter Possess a solid understanding of the value of data and how technology enables companies to compete better in the market place Be able to consult in a client facing environment, linking analytical solutions to the value and competitive advantage that technology can help a client deliver. Will have prior experience of working in a multi-country organization Have the ability to collaborate with an interdisciplinary team to solve problems Be self-starter with a positive attitude, intellectual curiosity and a passion for analytics and solving real world problems Be willing to travel up to 40-70% Why We Think You’ll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. Show more Show less

Our Company At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. What You’ll Do The Sr. Data Scientist is an experienced Data Scientist who would be responsible for work with the Region Solution Leads, Services sales teams, Teradata Account Teams and Product Management Team to support them on pre-sales/solutions activities. The scope of this role includes conceptualizing Use case solutions and supporting Pre-Sales initiatives. . This role will require strong technical and interpersonal skills, a deep understanding of the Business use cases, Teradata technology including ClearScape Analytics and Teradata applications, Teradata services portfolio and an understanding of the partner solutions. Key Areas of Responsibility: Support account teams and prospective customers to analyze and understand customer requirements through extensive data exploration and analysis phases Lead the discussion and conceptualization of the solutions assigned. Responsible for development of ready to engage and ready to sell collateral Use Analytical tools and Deep Learning frameworks to deliver required solutions from time to time. Actively participate in brainstorming sessions to come up with possible solutions/analytics Build solution showcases and support the account teams in high-end customer pitches Support Pre-Sales initiatives by positioning the solutions to the customers and building estimations Provide mentoring and guidance to the Pre-sales opportunities as per the customer requirements Conduct assessment and POC activities to support the Pre-Sales Teams Who You’ll Work With The successful candidate will work from any Teradata GSIH (Global Services Innovation Hub) facility or virtual in India/ Pakistan/Prague and will be expected to travel on business (20 -30% travel). What Makes You a Qualified Candidate Educational Requirements: Minimum Bachelors Degree in Data Science, AI, Engineering, Computer Science or Statistics. Preferably a Masters or Doctorate in the relevant field Technical Skill Set & Experience Required: 10+years’ experience in data driven field (e. g. BI, DWH, Analytics etc. ). Experience in data analysis is a plus. Strong hands on experience with programming languages (e. g. R, Python, Java, etc. ) Comfortable with and experience using SQL. Significant familiarity with Statistical concepts. In-depth understanding is a plus. In depth understanding of Machine Learning concepts and statistical modelling. Exposure and Experience with Artificial Intelligence and Deep Learning Business understanding for at least 2-3 fields/domains (Telco/Retail/Manufacturing/Healthcare etc. ). Ability to analyze customer technology, define business requirements & participate in risk analysis activities Strong Requirement Elicitation & Analysis skills Cloud Computing Experiences would be a plus (Azure /AWS/Google) Experience of Teradata platform would be a plus Experience as a Technical Lead both in presales support (estimating and designing customer solutions) and delivery activities (deployment of customer solutions) is a plus What You’ll Bring Ability and willingness to learn. Collaborative attitude and team player. Very strong analytical skills. Ability to independently manage critical situations. Story building skills. Critical thinker and problem-solving skills Excellent communication skills, both written and verbal, with the ability to present complex ideas to technical and non-technical audiences. Ability to coordinate with SMEs, stakeholders, manage timelines, escalation & provide on time Ability to prioritize assignments, handles shifting deadlines, and work independently as well as in a team environment. Why We Think You’ll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. Show more Show less

Our Company At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. What You’ll Do The Sr. Data Scientist is an experienced Data Scientist who would be responsible for work with the Region Solution Leads, Services sales teams, Teradata Account Teams and Product Management Team to support them on pre-sales/solutions activities. The scope of this role includes conceptualizing Use case solutions and supporting Pre-Sales initiatives. . This role will require strong technical and interpersonal skills, a deep understanding of the Business use cases, Teradata technology including ClearScape Analytics and Teradata applications, Teradata services portfolio and an understanding of the partner solutions. Key Areas of Responsibility: Support account teams and prospective customers to analyze and understand customer requirements through extensive data exploration and analysis phases Lead the discussion and conceptualization of the solutions assigned. Responsible for development of ready to engage and ready to sell collateral Use Analytical tools and Deep Learning frameworks to deliver required solutions from time to time. Actively participate in brainstorming sessions to come up with possible solutions/analytics Build solution showcases and support the account teams in high-end customer pitches Support Pre-Sales initiatives by positioning the solutions to the customers and building estimations Provide mentoring and guidance to the Pre-sales opportunities as per the customer requirements Conduct assessment and POC activities to support the Pre-Sales Teams Who You’ll Work With The successful candidate will work from any Teradata GSIH (Global Services Innovation Hub) facility or virtual in India/ Pakistan/Prague and will be expected to travel on business (20 -30% travel). What Makes You a Qualified Candidate Educational Requirements: Minimum Bachelors Degree in Data Science, AI, Engineering, Computer Science or Statistics. Preferably a Masters or Doctorate in the relevant field Technical Skill Set & Experience Required: 10+years’ experience in data driven field (e. g. BI, DWH, Analytics etc. ). Experience in data analysis is a plus. Strong hands on experience with programming languages (e. g. R, Python, Java, etc. ) Comfortable with and experience using SQL. Significant familiarity with Statistical concepts. In-depth understanding is a plus. In depth understanding of Machine Learning concepts and statistical modelling. Exposure and Experience with Artificial Intelligence and Deep Learning Business understanding for at least 2-3 fields/domains (Telco/Retail/Manufacturing/Healthcare etc. ). Ability to analyze customer technology, define business requirements & participate in risk analysis activities Strong Requirement Elicitation & Analysis skills Cloud Computing Experiences would be a plus (Azure /AWS/Google) Experience of Teradata platform would be a plus Experience as a Technical Lead both in presales support (estimating and designing customer solutions) and delivery activities (deployment of customer solutions) is a plus What You’ll Bring Ability and willingness to learn. Collaborative attitude and team player. Very strong analytical skills. Ability to independently manage critical situations. Story building skills. Critical thinker and problem-solving skills Excellent communication skills, both written and verbal, with the ability to present complex ideas to technical and non-technical audiences. Ability to coordinate with SMEs, stakeholders, manage timelines, escalation & provide on time Ability to prioritize assignments, handles shifting deadlines, and work independently as well as in a team environment. Why We Think You’ll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. Show more Show less

Our Company At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. What you will do ? Be one of the Individual Contributor and a part of our Data Science practice in GSIH India/Pakistan Be proactive and a SME in his/her skills and a great team member, specializing in AI/ML. Produce packaged solutions, AaaS offerings, in addition to supporting Analytics projects and PoCs/PoVs. Work in a team to define and execute data science solutions that address client use cases and business requirements Define activities, scope, and timelines on data science projects Deliver projects following our internal frameworks and best practices Be AI/ML expert to advice customers in defining Analytics Roadmap, Ecosystem and Architecture for Complex Enterprise Systems. Experienced in implementing AI/ML solutions in Agile environment. Discover, interpret and document unique insights in large-scale distributed datasets through exploratory analysis and the application of advanced analytical methodologies Create statistical, machine learning and deep learning models in multiple technologies using best-in-class data science approaches Prepare and conduct presentations and client workshops, communicating past experiences in sales and speaking opportunities Guide junior members of the delivery team during projects Teradata Vantage as a skill that needs to be acquired after joining Teradata Candidate will work on Teradata ClearScape Analytics Offerings Who You’ll Work With Work as an individual contributor to define and execute Advanced Analytics solutions that address client use cases and business requirements. Work in close coordination with Data Science teams in other GSIH centers as well International Data Science teams to serve global customers. Will need to be a quick learner with the desire to improve skill sets As this is a project-oriented position in either onsite or offsite situations having accountability for managing client expectations while delivering the services and solutions associated with the Teradata database This position will combine direct client consulting engagement activities, new solution development and analytics positioning responsibilities What Makes You a Qualified Candidate Bachelor’s, Master’s or PhD degree in a related discipline (Mathematics, Statistics, Computer Science, or Data Science) 5+ years of related work and/or research experience in quantitative roles In-depth knowledge in at least 2 of the following data science domains Text Mining / NLP Graph and Network Analysis Deep Learning/Gen AI Geospatial Analysis Signal Processing, Image, Video Predictive Modeling and Recommender Systems Extensive knowledge of at least one open-source scientific language such as Python Knowledge of working with AI/ML modules of cloud providers is a plus Fluency in SQL and good knowledge of relational databases Passionate about asking and answering questions in large, distributed datasets Experience with at least one general purpose, high level programming language such as C/C++, Java, PHP, or Python What You’ll Bring Experience implementing end-to-end large scale Machine Learning/AI project Experience in Python, SQL Be a clear and confident communicator with excellent presentation skills and with the ability to translate technology concepts into concise business focused messages in both technical and sales presentations Possess strong interpersonal and communication skills Be proficient in the use of both written and spoken business English Proven skills in creative-problem-solving of complex and advanced technical subject matter Possess a solid understanding of the value of data and how technology enables companies to compete better in the market place Be able to consult in a client facing environment, linking analytical solutions to the value and competitive advantage that technology can help a client deliver. Will have prior experience of working in a multi-country organization Have the ability to collaborate with an interdisciplinary team to solve problems Be self-starter with a positive attitude, intellectual curiosity and a passion for analytics and solving real world problems Be willing to travel up to 40-70% Why We Think You’ll Love Teradata We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. Teradata invites all identities and backgrounds in the workplace. We work with deliberation and intent to ensure we are cultivating collaboration and inclusivity across our global organization. ​ We are proud to be an equal opportunity and affirmative action employer. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. Show more Show less

Base Location: Bangalore Minimum Qualification: MBA Preferred Experience: 3-6 Years of relevant experience Key Result Areas Drive Repeat revenue growth Design CRM calendar for the brand in line with marketing calendar & channel requirements. Drive and achieve brand’s repeat revenue, repeat transaction & unique transactors base To drive (growth of) percentage contribution of repeat revenue to overall brand’s NSV targets To manage other repeat customer related KPIs including repeat ABV/ABS, Repeat discount, points liability, earn to burn ratios. Managing Budget Ensure optimum utilization of budget in line with brand’s repeat revenue targets, growing consumer base & communication channels. Loyalty program management Carry out periodic checks & market mapping to determine the health of loyalty program and make structural changes if required. To keep track of other important KPIs including earn/burn ratios, loyalty point outlay, loyalty points redemption etc. to manage financial liability to the brand. To create programs, projects around retention of key customer segments Drive Operational Excellence Train & educate front end teams, including store teams, on the technical & softer aspects of customer relationship management. Create a reporting & review mechanism to ensure data flow within the brand around existing customers, including customer voice, buying habits & customer escalations. Drive and control hygiene activities of data collection as part of new member enrollment, including enrollment rates, enrollment data hygiene etc. Drive and manage data sanity of CRM database & flow of data to internal team including IT, Teradata etc. Campaign management Design & execute effective campaigns to drive increment sales. Work towards improvement of campaign response rates Design campaigns to support key brand initiatives including ATL stories, new season launches & festive markets support. Vendor management Manage external vendor to carry out the work items (including analytics, creative management & campaign design) related to CRM campaigns. Define the work scope of external vendors, review the quality of work. Manage (and optimize) fixed costs related to external vendors & control ‘per campaign cost’ through effective planning. Show more Show less

Location Gurugram, Haryana, India Category Corporate Job Id GGN00002080 Marketing / Loyalty / Mileage Plus / Alliances Job Type Full-Time Posted Date 06/04/2025 Achieving our goals starts with supporting yours. Grow your career, access top-tier health and wellness benefits, build lasting connections with your team and our customers, and travel the world using our extensive route network. Come join us to create what’s next. Let’s define tomorrow, together. Description Our Marketing and Loyalty team is the strategic force behind United’s industry-leading brand and experience, supporting revenue growth by turning customers into lifelong United flyers. Our marketing communications, market research and brand teams drive travelers’ familiarity and engagement with the United brand. Our product, design and service teams bring the signature United brand to life in our clubs and onboard our aircraft, ensuring a seamless, premier experience. And when customers choose United again and again, that’s because the loyalty team has been hard at work crafting an award-winning program. Our loyalty team manages United MileagePlus®, building travel and lifestyle partnerships that customers can engage with every day, and works with our Star Alliance partners to ensure United can take you anywhere you want to go. Job overview and responsibilities United Airlines reaches out to customers and potential travelers via digital campaigns with new information, travel inspiration, personalized offers, promos, etc. The Digital Marketing & Personalized Offers team at IKC supports all such digital acquisition initiatives with insights to help strategize campaigns and analytics to help measure performance. We work closely with stakeholders in the US to bring these campaigns to life and continuously improve performance with learnings and actionable insights. Ensure alignment and prioritization with business objectives and initiatives – help teams make faster, smarter decisions Conduct exploratory analysis, identify opportunities, and proactively suggest initiatives to meet marketing objectives Assist in campaign planning, targeting and audience identification; measure campaign results and performance using data analysis Create content for and deliver presentations to United leadership and external stakeholders Own workstreams to deliver results, while leading other team members Ensure seamless stakeholder management and keep lines of communication open with all stakeholders Create, modify and automate reports and dashboards - take ownership of reporting structure and metrics, clearly and effectively communicate relevant information to decision makers using data visualization tools This position is offered on local terms and conditions. Expatriate assignments and sponsorship for employment visas, even on a time-limited visa status, will not be awarded. This position is for United Airlines Business Services Pvt. Ltd - a wholly owned subsidiary of United Airlines Inc. Qualifications What’s needed to succeed (Minimum Qualifications): Bachelor's degree or 4 years of relevant work experience 4+ years of experience in Analytics and working with analytical tools Proven comfort and an intellectual curiosity for working with very large data sets Experience in manipulating and analyzing complex, high-volume, high-dimensionality data from various sources to highlight patterns and relationships Proficiency in using database querying tools and writing complex queries and procedures using Teradata SQL and/ or Microsoft SQL Familiarity with one or more reporting tools – Spotfire/ Tableau Advanced level comfort with Microsoft Office, especially Excel and PowerPoint Ability to communicate analysis in a clear and precise manner High sense of ownership of work, and ability to lead a team Ability to work under time constraints Must be legally authorized to work in India for any employer without sponsorship Must be fluent in English (written and spoken) Successful completion of interview required to meet job qualification Reliable, punctual attendance is an essential function of the position What will help you propel from the pack (Preferred Qualifications): Master's degree Bachelor’s Degree in a quantitative field like Math, Statistics, Analytics and/ or Business SQL/ Python/ R Visualization tools – Tableau/ Spotfire Understanding of digital acquisition channels Strong knowledge of either Python or R

Job Description: About Us At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. Responsible Growth is how we run our company and how we deliver for our clients, teammates, communities and shareholders every day. One of the keys to driving Responsible Growth is being a great place to work for our teammates around the world. We’re devoted to being a diverse and inclusive workplace for everyone. We hire individuals with a broad range of backgrounds and experiences and invest heavily in our teammates and their families by offering competitive benefits to support their physical, emotional, and financial well-being. Bank of America believes both in the importance of working together and offering flexibility to our employees. We use a multi-faceted approach for flexibility, depending on the various roles in our organization. Working at Bank of America will give you a great career with opportunities to learn, grow and make an impact, along with the power to make a difference. Join us! Global Business Services Global Business Services delivers Technology and Operations capabilities to Lines of Business and Staff Support Functions of Bank of America through a centrally managed, globally integrated delivery model and globally resilient operations. Global Business Services is recognized for flawless execution, sound risk management, operational resiliency, operational excellence and innovation. In India, we are present in five locations and operate as BA Continuum India Private Limited (BACI), a non-banking subsidiary of Bank of America Corporation and the operating company for India operations of Global Business Services. Process Overview* EIT is a centralized group within Global Risk Management responsible for independent testing of operational processes within the eight lines of business and enterprise control functions at Bank of America to ensure the company is in compliance with domestic and international laws, rules and regulations, and that risk and controls procedures are operating effectively. Job Description* The Sampling and Test Development Specialist II, with minimal supervision, works in collaboration with the Test Owners, Front Line Units, other Sampling and Test Development resources along with the Test Execution Teams to design and assess the quality of both manual and automated tests, validate data sourcing, conduct required sampling governance or distribute samples for testing, and design or revise sampling procedure documentation, with expert level efficiency and quality. This includes driving test structure to support automation. They will make required changes to new and existing test scripts and test plan documentation, as well as sample and data requirements and maintain integrity within the system of record. The Sampling and Test Development Specialist II will independently gather test scripting and data requirements and work with data partners to ensure appropriate test design and sampling requirements are incorporated in to the Test Plans Evaluates if pilot testing is required and participate in testing as needed and participates in other phases of testing (intake, execution, reporting) to provide expertise and feedback on areas assigned. Maintains SOR (System of Record) tracking of test status per standards. Provides peer coaching and direction where needed. Responsibilities* This role is responsible for accessing pertinent databases or acquiring raw data from third party sources along with all associated documentation and for documenting business procedures within testing scripts. The Sampling and Test Development Specialist II often acts independently to uncover and resolve issues associated with procurement of data to be used for testing and the structure and design of complex tests. This role will deliver high-quality results and manage, manipulate and summarize large quantities of data. The Sampling and Test Development Specialist II must participate in and occasionally lead additional projects across Sampling and Test Development including escalation of areas requiring process refinement and revision and taking leadership role to affect changes when needed. Requirements* Education : Graduates or Post-Graduates in Computer Science, Software Engineering, Statistics. Tech/B.E./B.Sc.(Statistics)/B.C.A./M.C.A/M.Sc. (Statistics) Certifications If Any - NA Experience Range : 4-6 yrs Foundational skills* Advanced understanding of automation tools and ability to influence test owners to define ways to structure tests in an automated fashion. Advanced knowledge of data warehouse and mining concepts and baseline understanding of SAS/SQL query language and syntax Experience building queries to source data from a variety of different types of data sources such as DB2, Teradata, Oracle, SQL Server, Hadoop, Hive, Python Proficiency with MS Office suite with an emphasis on Excel to perform data analytics, pivot tables, lookups and data analytics Proven ability to leverage automation efficiencies, tools, and capabilities where possible. Experience building data acquisition routines in a tool such as Trifacta, Alteryx, MicroStrategy, Tableau, Cognos, Python (or other similar business intelligence applications) Strong research, analytical, problem-solving, and technical skills Demonstrated project management skills; Ability to handle multiple competing priorities with demonstrated success at achieving SLA (Service Level Agreements) Strong partnership and influencing skills. Excellent verbal and written communication skills as well as interpersonal skills Self-starter, organized, versatile, capable of performing work independently with minimal direction. Ability to think independently, solve complex problems, and develop integrated solutions. Ability to translate business objectives to comprehensive test requirements. Demonstrated ability to interface effectively with Senior management. Strong team player Desired skills: Compliance or Risk certification a plus Work Timings: 1.30 PM - 10.30 PM Job Location: Chennai Show more Show less

About the role As an Ab Initio Admin, you will make an impact by leveraging your expertise in data warehousing and ETL processes & driving data integration solutions. You will be a valued member of the AI Analytics group and work collaboratively with CMT team members. In this role, you will: Develop and implement efficient ETL processes using Ab Initio tools to ensure seamless data integration and transformation Collaborate with cross-functional teams to gather requirements and design data solutions that meet business needs Optimize data warehousing solutions by applying advanced scheduling techniques and SQL queries Troubleshoot and resolve data-related issues to maintain system reliability and performance Provide technical expertise in Ab Initio Conduct>It and Co>Operating System to enhance data processing capabilities Ensure data accuracy and consistency by conducting thorough testing and validation of ETL processes Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office in your respective work location. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. What you must have to be considered Possess strong knowledge of data warehousing concepts and scheduling basics to design effective data solutions Demonstrate proficiency in ETL processes and SQL for efficient data manipulation and transformation Have hands-on experience with Ab Initio GDE and Conduct>It for robust data integration Utilize Unix Shell Scripting to automate routine tasks and improve operational efficiency These will help you stand out Show expertise in Ab Initio Co>Operating System to optimize data processing workflows Exhibit skills in Unix Shell Scripting to automate tasks and streamline operations Display a collaborative mindset to work effectively in a hybrid work model and day shift environment We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

About us: Analytics & Information Management AIM is a global community that is driving data driven transformation across Citi in multiple functions with the objective to create actionable intelligence for our business leaders. We are a fast-growing organization working with Citi businesses and functions across the world. Remediation & Remuneration COE Remediation team is responsible for cross functional coordination of customer facing remediation efforts. Provide oversight, prioritization, and scheduling of remediation activities with remediation partner teams including Technology, FSO, Analytics groups, Shared Services (mail vendor) and Controllers. R&R AIM Team works as the data Analytic partner for the Issue Remediation Business Team. Job responsibilities: R&R team manages the analysis of the customer remediation issues across globe, currently in retail consumer bank. The critical areas are work is divided into: Remediation analysis: Execution of the comprehensive data remediation approach on Customer issues due to gaps observed in policies and governance, Self-identified, or through IA. Impact assessment: Identification of size of the customers and the dollar amount impacted due to these issues. Issue Management & Root cause analysis: Identifying the issues and reasons for the issues by leveraging analytical methods. Audit Support: Tracking implementation plans and providing data evidence, artifacts for audit completion Report Generation: Generate business metrics and actionable business insights using latest reporting tools Expertise Required: Tools and Platforms Proficient in SAS, SQL, RDBMS, Teradata, Unix Proficient in MS Excel, PowerPoint, and VBA Jira, Bitbucket, Sharepoint Tableau, Cognos Exposure to Big data, Python Domain Skills Good understanding of banking domain and consumer products (Retail Banking, Deposit, Loans, Wealth management, Mortgage, Insurance, etc.) (Preferred) Knowledge of Finance Regulations, Understanding on Retail Business/ Banking Domain Analytical & Interpersonal Skills Ability to identify, clearly articulate and solve complex business problems and present them to the management in a structured and simpler form Data analysis, Data profiling, Data Management skills MIS reporting and generate actionable Business Insights Should have excellent communication and inter-personal skills Good process management skills Coming up with automated Techniques to reduce redundancy, remove false positives and enhance optimization Identification of control gaps and providing recommendations as per data strategy (Preferred) - Risk & control Metrics & Audit Framework Exposure Other Info: Education Level: Master’s / Advanced Degree in Information Technology/ Computer Applications/ Engineering/ MBA from a premier institute Overall experience of 2-5 years Job Category: Decision Management Schedule: Full-time Shift: Regular Local Working Hours (aligned with NAM working hours) Employee Status: Regular Salary Grade: C09 ------------------------------------------------------ Job Family Group: Decision Management ------------------------------------------------------ Job Family: Data/Information Management ------------------------------------------------------ Time Type: Full time ------------------------------------------------------ Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi’s EEO Policy Statement and the Know Your Rights poster. Show more Show less

Overview As a Data Modeler & Functional Data Senior Analyst, your focus would be to partner with D&A Data Foundation team members to create data models for Global projects. This would include independently analysing project data needs, identifying data storage and integration needs/issues, and driving opportunities for data model reuse, satisfying project requirements. Role will advocate Enterprise Architecture, Data Design, D&A standards, and best practices. You will be performing all aspects of Data Modeling working closely with Data Governance, Data Engineering and Data Architecture teams. As a member of the Data Modeling team, you will create data models for very large and complex data applications in public cloud environments directly impacting the design, architecture, and implementation of PepsiCo's flagship data products around topics like Master Data, Finance, Revenue Management, Supply chain, Manufacturing and Logistics. The primary responsibility of this role is to work with Data Product Owners, Data Management Owners, and Data Engineering teams to create physical and logical data models with an extensible philosophy to support future, unknown use cases with minimal rework. You'll be working in a hybrid environment with in-house, on-premises data sources as well as cloud and remote systems. You will establish data design patterns that will drive flexible, scalable, and efficient data models to maximize value and reuse. Responsibilities Complete conceptual, logical and physical data models for any supported platform, including SQL Data Warehouse, EMR, Spark, Data Bricks, Snowflake, Azure Synapse or other Cloud data warehousing technologies. Governs Data Design/Modeling - documentation of metadata (business definitions of entities and attributes) and construction of database objects, for baseline and investment funded projects, as assigned. Provides and/or supports data analysis, requirements gathering, solution development, and design reviews for enhancements to existing, or new, applications/reporting. Lead and Support assigned project contractors (both on & offshore), orienting new contractors to standards, best practices, and tools. Contributes to project cost estimates, working with senior members of team to evaluate the size and complexity of enhancements or new development. Ensure physical and logical data models are designed with an extensible philosophy to support future, unknown use cases with minimal rework. Partner with IT, data engineering and other teams to ensure the enterprise data model incorporates key dimensions needed for proper management of: business and financial policies, security, local-market regulatory rules, consumer privacy by design principles (PII management) and all linked across fundamental identity foundations. Drive collaborative reviews of design, code, data, security features implementation performed by data engineers to drive data product development. Analyze/profile source data and identify issues that impact accuracy, completeness, consistency, integrity, timeliness and validity. Create Source to Target Mapping documents including identifying and documenting data transformations. Assume accountability and responsibility for assigned product delivery, be flexible and able to work with ambiguity, changing priorities, tight timelines and critical situations/issues. Partner with the Data Governance team to standardize their classification of unstructured data into standard structures for data discovery and action by business customers and stakeholders. Support data lineage and mapping of source system data to canonical data stores for research, analysis and productization. Qualifications BA or BS degree required in Data Science/Management/Engineering, Business Analytics, Information Systems, Software Engineering or related Technology Discipline. 8+ years of overall technology experience that includes at least 4+ years of Data Modeling and Systems Architecture/Integration. 3+ years of experience with Data Lake Infrastructure, Data Warehousing, and Data Analytics tools. 4+ years of experience developing Enterprise Data Models. 3+ years of Functional experience with SAP Master Data Governance (MDG) including use of T-Codes to create/update records and query tables. Extensive knowledge of all core Master Data tables, Reference Tables, IDoc structures. 3+ years of experience with Customer & Supplier Master Data. Strong SQL skills with ability to understand and write complex queries. Strong understanding of Data Life cycle, Integration and Master Data Management principles. Excellent verbal and written communication and collaboration skills. Strong Excel skills for data analysis and manipulation. Strong analytical and problem-solving skills. Expertise in Data Modeling tools (ER/Studio, Erwin, IDM/ARDM models). Experience with integration of multi cloud services (Azure) with on-premises technologies. Experience with data profiling and data quality tools like Apache Griffin, Deequ, and Great Expectations. Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets. Experience with at least one MPP database technology such as Redshift, Synapse, Teradata or Snowflake. Experience with version control systems like GitHub and deployment & CI tools. Working knowledge of agile development, including Dev Ops and Data Ops concepts. Experience mapping disparate data sources into a common canonical model. Differentiating Competencies Experience with metadata management, data lineage and data glossaries. Experience with Azure Data Factory, Databricks and Azure Machine learning. Familiarity with business intelligence tools (such as Power BI). CPG industry experience. Experience with Material, Location, Finance, Supply Chain, Logistics, Manufacturing & Revenue Management Data. Show more Show less