779 Teradata Jobs - Page 8

Jole Overview We are seeking a highly skilled and motivated Data Modeler with 5+ years | Hyderabad/ Gurgaon of experience. If you're passionate about coding, problem-solving, and innovation, we'd love to hear from you! About Us CodeVyasa is a mid-sized product engineering company that works with top-tier product/solutions companies such as McKinsey, Walmart, RazorPay, Swiggy, and others. We are about 550+ people strong and we cater to Product & Data Engineering use-cases around Agentic AI, RPA, Full-stack and various other GenAI areas. Independently complete conceptual, logical and physical data models for any supported platform, including SQL Data Warehouse, Spark, Data Bricks Delta Lakehouse or other Cloud data warehousing technologies. Governs data design/modelling – documentation of metadata (business definitions of entities and attributes) and constructions database objects, for baseline and investment funded projects, as assigned. Develop a deep understanding of the business domains like Customer, Sales, Finance, Supplier, and enterprise technology inventory to craft a solution roadmap that achieves business objectives, maximizes reuse. Drive collaborative reviews of data model design, code, data, security features to drive data product development. Show expertise for data at all levels: low-latency, relational, and unstructured data stores; analytical and data lakes; SAP Data Model. Develop reusable data models based on cloud-centric, code-first approaches to data management and data mapping. Partner with the data stewards team for data discovery and action by business customers and stakeholders. Provides and/or supports data analysis, requirements gathering, solution development, and design reviews for enhancements to, or new, applications/reporting. Assist with data planning, sourcing, collection, profiling, and transformation. Support data lineage and mapping of source system data to canonical data stores. Create Source to Target Mappings (STTM) for ETL and BI developers. Skills needed: Expertise in data modelling 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. Why Join CodeVyasa? Work on innovative, high-impact projects with a team of top-tier professionals. Continuous learning opportunities and professional growth. Flexible work environment with a supportive company culture. Competitive salary and comprehensive benefits package. Free healthcare coverage. Here's a glimpse of what life at CodeVyasa looks like Life at CodeVyasa.

Summary Position Summary AI & Data In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment. The AI & Data team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. The offering portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets. AI & Data will work with our clients to: Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements AI & Data Testing Consultant The position is suited for individuals who have demonstrated ability to work effectively in a fast paced, high volume, deadline driven environment. An ETL Tester is responsible for testing and validating the accuracy and completeness of data being extracted, transformed, and loaded (ETL) from various sources into the target systems They work closely with ETL developers, data analysts, and other stakeholders to ensure the quality of data and the reliability of the ETL processes Education And Experience Education: B.Tech/M.Tech/MCA/MS/MBA Require experienced ETL testers (Informatica Power center) with an experience of 3-6 yrs. and having below skills: Required Skills Strong in Data warehouse testing - ETL and BI Strong Database Knowledge – Oracle, SQL Server, Teradata and Snowflake Strong SQL skills with experience in writing complex data validation SQL’s Experience working in Agile environment Experience creating test strategy, release level test plan and test cases Develop and Maintain test data for ETL testing Design and Execute test cases for ETL processes and data integration Good Knowledge of Rally, Jira and HP ALM Experience in ETL Automation and data validation using Python Document test results and communicate with stakeholders on the status of ETL testing Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 300067

Location: IN - Hyderabad Telangana Goodyear Talent Acquisition Representative: Maria Monica Canding Sponsorship Available: No Relocation Assistance Available: No Job Responsibilities: You are responsible for designing and building data products, legal data layers, data streams, algorithms, and reporting systems (e.g., dashboards, front ends). You ensure the correct design of solutions, performance, and scalability while considering appropriate cost control. You link data product design with DevOps and infrastructure. You act as a reference within and outside the Analytics team. You serve as a technical partner to Data Engineers regarding digital product implementation. Qualifications: You have a Bachelor’s degree in Computer Science, Engineering, Management Information Systems, or a related discipline, or you have 10 or more years of experience in Information Technology in lieu of a degree. You have 5 or more years of experience in Information Technology. You have an in-depth understanding of database structure principles. You have experience gathering and analyzing system requirements. You have knowledge of data mining and segmentation techniques. You have expertise in SQL and Oracle. You are familiar with data visualization tools (e.g., Tableau, Cognos, SAP Analytics Cloud). You possess proven analytical skills and a problem-solving attitude. You have a proven ability to work with distributed systems. You are able to develop creative solutions to problems. You have knowledge and strong skills with SQL and NoSQL databases and applications, such as Teradata, Redshift, MongoDB, or equivalent. Goodyear is an Equal Employment Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to that individual's race, color, religion or creed, national origin or ancestry, sex (including pregnancy), sexual orientation, gender identity, age, physical or mental disability, ethnicity, citizenship, or any other characteristic protected by law. Goodyear is one of the world’s largest tire companies. It employs about 74,000 people and manufactures its products in 57 facilities in 23 countries around the world. Its two Innovation Centers in Akron, Ohio and Colmar-Berg, Luxembourg strive to develop state-of-the-art products and services that set the technology and performance standard for the industry. For more information about Goodyear and its products, go to www.goodyear.com/corporate

Overview iCIMS is seeking a Financial Analyst to join our FP&A team, based in India and reporting directly to the Vice President of FP&A. This highly visible role will focus on project-based financial analysis across revenue, expense, and operational/corporate reporting, serving as a force multiplier for the broader FP&A team by creating scalable solutions, driving automation, ad-hoc project work and enhancing reporting efficiency. The ideal candidate brings a strong blend of financial acumen and technical expertise, thrives on solving complex problems, and is passionate about enabling others through better data and tools. This role will work partially overlapping with U.S. business hours to collaborate effectively with global stakeholders. Responsibilities Act as a technical enabler for the FP&A team by developing tools, templates, and scalable processes to enhance reporting, analytic, forecasting and planning activities Integrate data from multiple systems (Tableau, Salesforce, NetSuite, Adaptive Insights, Excel) into consolidated reports and dashboards Build and maintain automated reporting solutions using Excel (including VBA/macros), Tableau, Adaptive and other reporting tools to streamline workflows and improve data accessibility Lead and deliver financial projects spanning revenue, expense, and operational/corporate reporting, ensuring solutions align with business priorities Identify and implement process improvements to eliminate manual work, accelerate reporting timelines and reduce errors Collaborate closely with finance, accounting, and operational stakeholders to understand reporting needs and proactively develop solutions Support monthly close, forecast, and long-range planning processes through development of reusable reporting models and automation Translate complex financial and operational data into actionable insights for executive leadership Maintain high standards of data accuracy, process consistency, and documentation across reporting deliverables Qualifications 4+ years of experience in FP&A, business analysis, financial systems, or a related analytical role Expert-level Excel skills, including advanced formulas, data modeling, and VBA/macro development Proficiency with data visualization tools (Tableau, Power BI, or similar) Strong analytical and problem-solving abilities with a continuous improvement mindset Experience working with financial systems such as NetSuite, Adaptive Insights, Salesforce, or similar platforms Excellent communication skills, with the ability to translate complex data into clear insights for diverse stakeholders Proven ability to manage multiple complex deliverables simultaneously Proven ability to work independently while collaborating across global teams Ability and willingness to work overlapping U.S. business hours as required for collaboration Education/Certifications/Licenses: Bachelor’s degree in Finance, Accounting, Business Analytics, Computer Science, Information Systems, or a related field

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You Will Be Doing... The Commercial Data & Analytics - Impact Analytics team is part of the Verizon Global Services (VGS) organization.The Impact Analytics team addresses high-impact, analytically driven projects focused within three core pillars: Customer Experience, Pricing & Monetization, Network & Sustainability. In this role, you will analyze large data sets to draw insights and solutions to help drive actionable business decisions. You will also apply advanced analytical techniques and algorithms to help us solve some of Verizon’s most pressing challenges. Use your analysis of large structured and unstructured datasets to draw meaningful and actionable insights Envision and test for corner cases. Build analytical solutions and models by manipulating large data sets and integrating diverse data sources Present the results and recommendations of statistical modeling and data analysis to management and other stakeholders Leading the development and implementation of advanced reports and dashboard solutions to support business objectives. Identify data sources and apply your knowledge of data structures, organization, transformation, and aggregation techniques to prepare data for in-depth analysis Deeply understand business requirements and translate them into well-defined analytical problems, identifying the most appropriate statistical techniques to deliver impactful solutions. Assist in building data views from disparate data sources which powers insights and business cases Apply statistical modeling techniques / ML to data and perform root cause analysis and forecasting Develop and implement rigorous frameworks for effective base management. Collaborate with cross-functional teams to discover the most appropriate data sources, fields which caters to the business needs Design modular, reusable Python scripts to automate data processing Clearly and effectively communicate complex statistical concepts and model results to both technical and non-technical audiences, translating your findings into actionable insights for stakeholders. What we’re looking for… You have strong analytical skills, and are eager to work in a collaborative environment with global teams to drive ML applications in business problems, develop end to end analytical solutions and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various partners and cross functional teams to implement data science driven business solutions. You Will Need To Have Bachelor’s degree or six or more years of work experience Six or more years of relevant work experience Experience in managing a team of data scientists that supports a business function. Proficiency in SQL, including writing queries for reporting, analysis and extraction of data from big data systems (Google Cloud Platform, Teradata, Spark, Splunk etc) Curiosity to dive deep into data inconsistencies and perform root cause analysis Programming experience in Python (Pandas, NumPy, Scipy and Scikit-Learn) Experience with Visualization tools matplotlib, seaborn, tableau, grafana etc. A deep understanding of various machine learning algorithms and techniques, including supervised and unsupervised learning Understanding of time series modeling and forecasting techniques Even better if you have one or more of the following: Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and deploying machine learning models at scale using platforms like Domino Data Lab or Vertex AI Experience in applying statistical ideas and methods to data sets to answer business problems. Ability to collaborate effectively across teams for data discovery and validation Experience in deep learning, recommendation systems, conversational systems, information retrieval, computer vision Expertise in advanced statistical modeling techniques, such as Bayesian inference or causal inference. Excellent interpersonal, verbal and written communication skills. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.

About Lowe’s Lowe’s is a FORTUNE® 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com. Lowe’s India, the Global Capability Center of Lowe’s Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe’s India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India About The Team The Pro Rapid Insights team supports Lowe’s Pro business by delivering timely, actionable insights that guide data-driven decisions. We work closely with stakeholders across Marketing, Merchandising, Operations, and Product teams to provide analytical support and business visibility across key functions. Our work balances quick-turnaround requests with the development of scalable dashboards and scorecards that drive strategic planning. In a dynamic and fast-paced environment, the team is known for its agility, problem-solving mindset, and ability to turn complex data into clear, impactful solutions. Job Summary The primary purpose of this role is to perform mathematical and statistical analysis or model building as appropriate. This includes following analytical best practices, analyzing and reporting accurate results, and identifying meaningful insights that directly support decision making. This role provides assistance in supporting one functional area of the business in partnership with other team members. At times, this role may work directly with the business function, but the majority of time is spent working with internal team members to identify and understand business needs. Roles & Responsibilities Core Responsibilities: Analyze structured and unstructured data to uncover trends, customer behaviors, and business drivers specific to the Pro segment. Build and maintain dashboards, scorecards, and automated reporting solutions that track business KPIs and enable fast decision-making. Partner with cross-functional teams to define problems, gather requirements, and deliver data solutions that meet evolving business needs. Conduct root cause analyses, design experiments, and apply statistical modeling (e.g., regression, clustering, A/B testing) to evaluate the effectiveness of programs and initiatives. Translate analytical findings into compelling, actionable recommendations and clearly communicate them to stakeholders at various levels. Continuously seek ways to improve data quality, operational efficiency, and the scalability of analytics solutions. Stay up to date with new analytics tools and methodologies, contributing to the team’s collective learning and innovation. Years Of Experience 1 to 3 yrs of experience data analytics Education Qualification & Certifications (optional) Required Minimum Qualifications Bachelor's degree in business administration, computer science, computer information systems (CIS), engineering, or related field (or equivalent work experience in lieu of degree) Skill Set Required Experience using basic analytical tools such as R, Python, SQL, SAS, Adobe, Alteryx, Knime, Aster Experience using visualization tools such as MicroStrategy VI, Power BI, Tableau Secondary Skills (desired) Experience with business intelligence and reporting tools (e.g., MicroStrategy, Business Objects, Cognos, Adobe, TM1, Alteryx, Knime, SSIS, SQL, Svr) and Enterprise level databases (Hadoop, GCP, Azure, Oracle, Teradata, DB2) Experience working with big, unstructured data in a retail environment Experience with analytical tools like Python, Alteryx, Knime, SAS, R, etc. Experience with visualization tools like MicroStrategy VI, Power BI, SAS-VA, Tableau, D3, R-Shiny Programming experience using tools such as R, Python Data Science experience using tools such as ML, Text mining Knowledge of SQL Project management experience Experience in home improvement retail 1 year of experience in digital analytics implementation using enterprise grade tools such as Adobe Dynamic Tag Management (DTM), Google Tag Manager (GTM), Tealium, Ensighten, etc. (specific to the Digital Analytics Implementation role) Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law. Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits.

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You Will Be Doing... The Commercial Data & Analytics - Impact Analytics team is part of the Verizon Global Services (VGS) organization.The Impact Analytics team addresses high-impact, analytically driven projects focused within three core pillars: Customer Experience, Pricing & Monetization, Network & Sustainability. In this role, you will analyze large data sets to draw insights and solutions to help drive actionable business decisions. You will also apply advanced analytical techniques and algorithms to help us solve some of Verizon’s most pressing challenges. Use your analysis of large structured and unstructured datasets to draw meaningful and actionable insights Envision and test for corner cases. Build analytical solutions and models by manipulating large data sets and integrating diverse data sources Present the results and recommendations of statistical modeling and data analysis to management and other stakeholders Leading the development and implementation of advanced reports and dashboard solutions to support business objectives. Identify data sources and apply your knowledge of data structures, organization, transformation, and aggregation techniques to prepare data for in-depth analysis Deeply understand business requirements and translate them into well-defined analytical problems, identifying the most appropriate statistical techniques to deliver impactful solutions. Assist in building data views from disparate data sources which powers insights and business cases Apply statistical modeling techniques / ML to data and perform root cause analysis and forecasting Develop and implement rigorous frameworks for effective base management. Collaborate with cross-functional teams to discover the most appropriate data sources, fields which caters to the business needs Design modular, reusable Python scripts to automate data processing Clearly and effectively communicate complex statistical concepts and model results to both technical and non-technical audiences, translating your findings into actionable insights for stakeholders. What we’re looking for… You have strong analytical skills, and are eager to work in a collaborative environment with global teams to drive ML applications in business problems, develop end to end analytical solutions and communicate insights and findings to leadership. You work independently and are always willing to learn new technologies. You thrive in a dynamic environment and are able to interact with various partners and cross functional teams to implement data science driven business solutions. You Will Need To Have Bachelor’s degree or six or more years of work experience Six or more years of relevant work experience Experience in managing a team of data scientists that supports a business function. Proficiency in SQL, including writing queries for reporting, analysis and extraction of data from big data systems (Google Cloud Platform, Teradata, Spark, Splunk etc) Curiosity to dive deep into data inconsistencies and perform root cause analysis Programming experience in Python (Pandas, NumPy, Scipy and Scikit-Learn) Experience with Visualization tools matplotlib, seaborn, tableau, grafana etc. A deep understanding of various machine learning algorithms and techniques, including supervised and unsupervised learning Understanding of time series modeling and forecasting techniques Even better if you have one or more of the following: Experience with cloud computing platforms (e.g., AWS, Azure, GCP) and deploying machine learning models at scale using platforms like Domino Data Lab or Vertex AI Experience in applying statistical ideas and methods to data sets to answer business problems. Ability to collaborate effectively across teams for data discovery and validation Experience in deep learning, recommendation systems, conversational systems, information retrieval, computer vision Expertise in advanced statistical modeling techniques, such as Bayesian inference or causal inference. Excellent interpersonal, verbal and written communication skills. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics.

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 Teradata is looking to add a new Program Manager / Product Owner to our existing Global Sales Operations Tools & Technologies team of analytical, problem solving and solution-oriented product owners and program managers with experience supporting sales teams. Day to day focus is on implementation, adoption, hygiene and documenting best practices while being on the leading edge of developing and representing business requirements for our Sales and Channel Partner Cloud Platform and other sales technologies. This position will work closely with Sales and GTM Leadership, Account Teams, Partner Team (Global Alliances / Client Relationship Management), Sales Operations Managers, Technology and Enablement teams, Marketing, IT to define and deliver channel partner technology solutions and business processes aligned with our strategy and roadmap. The ideal candidate will be data driven, intellectually curious, a fast learner, and able to move quickly while maintaining focus on high impact projects aligned to a global strategy and to develop and make recommendations on business technology and business process improvements. This is a full-time individual contributor position based in a Teradata office in India. Responsibilities: Product Owner for assigned capability / program area representing the business stakeholder(s) and/or customer(s) and process owner for such designated areas and capabilities Define, document, and share CRM best practices to ensure sales processes and terminology are consistently understood and applied across the organization and regions Develop and make recommendations to business process improvements and impacts to different business / sales and partner areas Build and manage relationships with cross-functional teams such as Geographic Sales Leadership and Sales Operations Managers, Marketing, and IT to ensure that tools and technologies are set up and aligned to effectively support Teradata’s coverage models around the world. Work closely with Sales Enablement to identify training needs for leadership and account team members on technology, tools, business practices and processes. Actively participate in roadmap identification and prioritization with Business and IT partners managing all phases of the program / project delivery cycle and consult / bring recommendations for programs / projects. Determine the business impact of current and future technologies for the GTM Organization Support the Deal Desk in using Teradata’s Salesforce CPQ implementation, in the areas of modeling the complex deals in quotes and approval process. Provide support to teams working on analytics based on CPQ data as a subject matter expert both in business and technical perspective of the CPQ solution. Who You'll Work With You will interact directly with field sales, sales leaders, and other team members to capture feedback for sales technology and process improvements to drive adoption and deliver business value. What Makes You a Qualified Candidate 3-5 years of experience as an Agile / Scrum product or process owner experience or 3-5 years Sales Operations, Sales Support, or Sales Field Impacting role experience. Direct experience in managing and driving value from CRM (Salesforce. com) and sales tools and leading / partnering cross-functionally to deliver complex programs and projects. Experience with direct sales and resellers/distribution partner processes in a SaaS/Cloud enterprise company or software vendor, and knowledge of how these processes integrate into existing systems/tools. Experience with Salesforce Partner Relationship Management (PRM), Salesforce Communities, Partner platforms and a good understanding of the different channel partner types is a plus. Must possess business acumen, field facing acumen, strong analytical, troubleshooting, problem-solving, and project management skills. Proactive and passionate: Independently capable of seeking information, solving conceptual problems, corralling resources, and delivering results in challenging situations. Ability to manage multiple concurrent projects and drive initiatives in a cross-functional environment. Solution Business Consulting skills, including analysis/evaluation of business and/or system processes and functional recommendation highly desired. Experience working and communicating with senior executives to solve complex business problems. Bachelor’s Degree in an analytical field (e. g. Computer Science, Information Systems, Business Administration, Engineering, Mathematics, or Statistics) Hands on experience with Salesforce CPQ (user/admin). Preferred Salesforce CPQ Specialist certification. Ability to drive requirements and influence decision makers to drive process & tool improvements in line with CPQ best practices. What You Will Bring Project/Program Management, or Agile / Product Owner Certification a plus, but not required Salesforce or PRM Certifications a plus but not required 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.

About the Role: Wells Fargo is seeking a Lead Risk analytics consultant. The Consumer Credit team is responsible for leading, developing and implementing strategic initiatives and processes to drive the company credit culture, appetite, and business performance. The team is seeking a talented and experienced Lead Risk Consultant to be part of the Auto Lending Credit Risk team. The candidate would be part of the Auto Lending Analytics team and would provide analytical support across a wide array of process or life cycle including but not limited to originations, collections, payments, deferrals, delinquency and related operational processes. Primary role is to apply strong business knowledge and advanced analytical skills to solve business questions, think out-side-of-the-box and develop innovative yet practical risk management solutions. An individual who is results driven, goal oriented, and enjoys a fast-paced working environment will find this opportunity both challenging and exciting. In this role, you will: Lead complex initiatives related to business analysis and modeling, including those that are cross functional, with broad impact, and act as key participant in data aggregation, monitoring, and reporting of stress testing and portfolio analysis for Risk Analytics Review and analyze complex programing models to extract data and manipulate databases to provide statistical and financial modeling specific to businesses supported Manage the roll out of pilot programs developed as a result of programmed models for supported businesses and product line Make decisions in complex product strategies, data modeling, and risk exposure, requiring solid understanding of business unit projects and regulatory responses, policies, procedures, and compliance requirements that influence and lead Analytic and Reporting to meet deliverables and drive new initiatives Collaborate and consult with peers, less experienced to more experienced managers, to resolve production, project, and regulatory issues, and achieve risk analysts, and common modeling goals Lead projects, teams, and mentor Required Qualifications: 5+ years of Risk Analytics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Bachelor's degree or higher in a quantitative field such as applied mathematics, statistics, engineering, finance, economics, econometrics or computer sciences 5+ years of progressive experience in credit and risk analytic roles Hands on Experience in at least one area in credit risk analytics - credit strategy / modeling techniques / Forecasting techniques / data architecture & management Detailed understanding of risk domain; Strong Risk analytics skills and understanding of P&L and risk drivers. Expertise in few programming and statistical packages - SAS, SQL, Excel, VBA, Macros, R, Python, E-miner, Tableau, SAS VA Knowledge of advanced statistical tools such as Segmentation Tools, Decision Trees, Clustering, Regression, and other statistical modeling and/or Machine Learning techniques Ability to lead project teams and coordinate with multiple stakeholders. Strong understanding and willingness to work hands on, using exploratory techniques which can sometimes involve advanced statistics. Excellent communication skills for interaction/coordination/project and skill prioritization with heads of functions Ability to identify and evaluate trends, isolate root cause, and provide swift/thorough resolution Advanced degree in statistics/finance /engineering/economics/other quantitative disciplines Knowledge and understanding of (consumer and small business loan) credit card lending practices, policies, procedures, and key drivers impacting credit offerings, including credit risks and regulatory requirements Strong analytical skills with ability to turn findings into executable plans to meet business objectives Ability to contribute to strategic decisions and coordinate with multiple stakeholders. Develop consensus and gain buy-in for strategic priorities Proficiency in Advanced SAS,SAS macros and SQL; Tableau or BI/automation tools Strong project management skills with ability to prioritize work, meet deadlines, achieve goals, and work under pressure in a dynamic and complex environment Strong ability to develop partnerships and collaborate with other business and functional area Job Expectations: The incumbent would functionally contribute as an SME to the Auto Lending Credit Risk team and execute relatively large and complex projects with moderate to high risk for the line of business. Leads significant initiatives and processes, and partners with line of business management to drive the company credit culture, appetite, and business performance with inputs from senior leadership. Advises and counsels leadership. Directs and coordinates the various activities related to assessing and predicting risk and performance through business analysis and/or modeling. Establishes effective policies, processes, and tools to identify and manage risks. Uses predictive sciences for developing future ready solutions. Develops comprehensive monitoring frameworks and dashboards and provide statistically sound diagnostic evaluation of any emerging or unexpected risk areas to enhance intelligence and facilitate faster decision making. Reports on asset quality (delinquency, loss rate), portfolio trends, credit policy exceptions across various credit, vintage, product, offer, channel, industry segments using visualization tools such as Excel VBA, Tableau and/or SAS Visual Analytics. Develops quantitative/qualitative tools and methodologies for forecasting losses in supporting portfolio planning, loan loss provisioning, or new account acquisitions. Develop, maintain, and enhance the complex programming to extract data and/or manipulate databases such as Oracle, Teradata to support LOB strategy. Perform complex data analysis to support data quality, data integrity control. Evaluate new data sources and attributes, internal and external from extensive case reviews. Analyze big data and understand / monitor trends to provide actionable insights across a range of risk analytics initiatives. Lead project teams and may mentor but does not manage other team members. To be effective in this position, you will need an excellent understanding of credit risk, a broad and strategic perspective on risk management, and be fluent in key technical tools of credit risk decisioning. Posting End Date: 25 Jun 2025 *Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit's risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants with Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo . Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment and Hiring Requirements: a. Third-Party recordings are prohibited unless authorized by Wells Fargo. b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

Req ID: 328478 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Business Intelligence Senior Analyst to join our team in noida, Uttar Pradesh (IN-UP), India (IN). Work as ETL developer using Oracle SQL , PL/SQL, Informatica, Linux Scripting , Tidal ETL code development, unit testing, source code control, technical specification writing and production implementation. Develop and deliver ETL applications using Informatica , Teradata, Oracle , Tidal and Linux. Interact with BAs and other teams for requirement clarification, query resolution, testing and Sign Offs Developing software that conforms to a design model within its constraints Preparing documentation for design, source code, unit test plans. Ability to work as part of a Global development team. Should have good knowledge of healthcare domain and Data Warehousing concepts About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Organization: At CommBank, we never lose sight of the role we play in other people’s financial wellbeing. Our focus is to help people and businesses move forward to progress. To make the right financial decisions and achieve their dreams, targets, and aspirations. Regardless of where you work within our organisation, your initiative, talent, ideas, and energy all contribute to the impact that we can make with our work. Together we can achieve great things. Job Title: Associate Data Engineer-Big Data Location: Bengaluru Business & Team: RM & FS Data Engineering Impact & contribution: As a Associate Data engineer with expertise in software development / programming and a passion for building data-driven solutions, you’re ahead of trends and work at the forefront of Big Data and Data warehouse technologies. Which is why we’re the perfect fit for you. Here, you’ll be part of a team of engineers going above and beyond to improve the standard of digital banking. Using the latest tech to solve our customers’ most complex data-centric problems. To us, data is everything. It is what powers our cutting-edge features and it’s the reason we can provide seamless experiences for millions of customers from app to branch. We’re responsible for CommBank’s key analytics capabilities and work to create world-leading capabilities for analytics, information management and decisioning. We work across the Cloudera Hadoop Big Data, Teradata Group Data Warehouse and Ab Initio platforms. Roles & Responsibilities: Passionate about building next generation data platforms and data pipeline solution across the bank. Enthusiastic, be able to contribute and learn from wider engineering talent in the team. Ready to execute state-of-the-art coding practices, driving high quality outcomes to solve core business objectives and minimise risks. Capable to create both technology blueprints and engineering roadmaps, for a multi- year data transformational journey. Can lead and drive a culture where quality, excellence and openness are championed. Constantly thinking outside the box and breaking boundaries to solve complex data problems. Are experienced in providing data driven solutions that source data from various enterprise data platform into Cloudera Hadoop Big Data environment, using technologies like Spark, MapReduce, Hive, Sqoop, Kafka; transform and process the source data to produce data assets; and transform and egression to other data platforms like Teradata or RDBMS system. Are confident in building group data products or data assets from scratch, by integrating large sets of data derived from hundreds of internal and external sources. Can collaborate, co-create and contribute to existing Data Engineering practices in the team. Have experience and responsible for data security and data management. Have a natural drive to educate, communicate and coordinate with different internal stakeholders. Essential Skills: Preferably with at least 3+ years of hands-on experience in a Data Engineering role. Experience in Ab Initio software products (GDE, Co>Operating System, Express>It, etc.) is mandatory. Experience in designing, building, and delivering enterprise-wide data ingestion, data integration and data pipeline solutions using common programming language (Scala, Java, or Python) in a Big Data and Data Warehouse platform. Experience in building data solution in Hadoop platform, using Spark, MapReduce, Sqoop, Kafka and various ETL frameworks for distributed data storage and processing. Preferably with at least 3+ years of hands-on experience. Experience in building data solution using AWS Cloud technology (EMR, Glue, Iceberg, Kinesis, MSK/Kafka, Redshift, DocumentDB, S3, etc.). Preferably with 1+ years of hands-on experience and certified AWS Data Engineer. Strong Unix/Linux Shell scripting and programming skills in Scala, Java, or Python. Proficient in SQL scripting, writing complex SQLs for building data pipelines. Experience in working in Agile teams, including working closely with internal business stakeholders. Familiarity with data warehousing and/or data mart build experience in Teradata, Oracle or RDBMS system is a plus. Certification on Cloudera CDP, Hadoop, Spark, Teradata, AWS, Ab Initio is a plus. Educational Qualifications: B.Tech and above If you're already part of the Commonwealth Bank Group (including Bankwest, x15ventures), you'll need to apply through Sidekick to submit a valid application. We’re keen to support you with the next step in your career. We're aware of some accessibility issues on this site, particularly for screen reader users. We want to make finding your dream job as easy as possible, so if you require additional support please contact HR Direct on 1800 989 696. Advertising End Date: 03/07/2025 Show more Show less

Job Description – Data Modeler Role Summary : We are looking for experienced Data Modelers to support large-scale data engineering and analytics initiatives. The role involves developing logical and physical data models, working closely with business and engineering teams to define data requirements, and ensuring alignment with enterprise standards. Independently complete conceptual, logical and physical data models for any supported platform, including SQL Data Warehouse, Spark, Data Bricks Delta Lakehouse or other Cloud data warehousing technologies. Governs data design/modelling – documentation of metadata (business definitions of entities and attributes) and constructions database objects, for baseline and investment funded projects, as assigned. Develop a deep understanding of the business domains like Customer, Sales, Finance, Supplier, and enterprise technology inventory to craft a solution roadmap that achieves business objectives, maximizes reuse. Drive collaborative reviews of data model design, code, data, security features to drive data product development. Show expertise for data at all levels: low-latency, relational, and unstructured data stores; analytical and data lakes; SAP Data Model. Develop reusable data models based on cloud-centric, code-first approaches to data management and data mapping. Partner with the data stewards team for data discovery and action by business customers and stakeholders. Provides and/or supports data analysis, requirements gathering, solution development, and design reviews for enhancements to, or new, applications/reporting. Assist with data planning, sourcing, collection, profiling, and transformation. Support data lineage and mapping of source system data to canonical data stores. Create Source to Target Mappings (STTM) for ETL and BI developers. Skills needed: Expertise in data modelling 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. Show more Show less

AWS Data Engineering||6 yrs experience ||Gurgaon Primary skills: AWS Services, SQL or Python, Data bricks or Snowflake • Hands on development experience in Data Warehousing, and or Software Development • AWS (S3, Redshift, Airflow), DevOps and DataOps tools (Jenkins, Git, Erwin), SQL or Python Secondary skills: • Knowledge of UNIX, Spark and Databricks Primary skills: AWS Services, SQL or Python, Data bricks or Snowflake Secondary skills: • Experience with data solutions in Cloud (preferably with AWS) as well as on-premises assets like Oracle • Demonstrated capability with the development of and performance-tuning skills for RDBMS (e.g. Oracle, Teradata, Snowflake, Redshift etc) databases Show more Show less

Consultant - Production support Location: Noida, Bangalore, Hyderabad, Pune, Kolkata, Lucknow Experience: 2-8 years Immediate Joiners preferred. The ideal candidate should have extensive experience exclusively in ETL Production Support, this requirement is not required development related expertise. Candidates should have experience primarily on Informatica PowerCenter, Unix/Linux, SQL and a strong background in Production Support Required Technology Skills Unix/Linux Shell Scripting – Proficiency in writing and debugging shell scripts. Informatica 10.4 (PowerCenter) – Strong experience in ETL development and support. PL/SQL – Expertise in developing stored procedures, functions, and packages. SQL Developer / TOAD – Hands-on experience using tools for database development and query execution. Control-M Scheduling – Familiarity with job scheduling, monitoring, and troubleshooting batch jobs. PuTTY – Working knowledge of using PuTTY for SSH access and command-line operations. Nice to Have Skills Teradata Viewpoint – Experience with system monitoring and workload management in Teradata. Teradata SQL Assistant – Familiarity with writing and executing SQL queries in a Teradata environment. Show more Show less

Role & responsibilities Technical Requirements (what) Advanced knowledge of data analysis and modeling principles: KPI Tree creation, Reporting best practices, predictive analytics, statistical and ML based modeling techniques Work Experience of 20+ years in analytics inclusive of 5+ years of experience of leading a team. Candidates from Insurance Industry are preferred. Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units. Strong problem solving, quantitative and analytical abilities. Strong ability to plan and manage numerous processes, people, and projects simultaneously. The right candidate will also be proficient and experienced with the following tools/programs: Experience with working on big data environments: Teradata, Aster, Hadoop. Experience with testing tools such as Adobe Test & Target. Experience with data visualization tools: Tableau, Raw, chart.js. Experience with Adobe Analytics and other analytics tools. Preferred candidate profile Perks and benefits

Role & responsibilities Advanced knowledge of data analysis and modeling principles: KPI Tree creation, Reporting best practices, predictive analytics, statistical and ML based modeling techniques Work Experience of 10+ years in analytics inclusive of 3+ years of experience of leading a team. Candidates from Insurance Industry are preferred. Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries. Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analyzing data, drawing conclusions, and developing actionable recommendations for business units. Strong problem solving, quantitative and analytical abilities. Strong ability to plan and manage numerous processes, people, and projects simultaneously. The right candidate will also be proficient and experienced with the following tools/programs: Strong programming skills with querying languages: SQL. Experience with working on big data environments: Teradata, Aster, Hadoop. Experience with testing tools such as Adobe Test & Target. Experience with data visualization tools: Tableau, Raw, chart.js. Preferred candidate profile Perks and benefits

What can you expect in a Director of Data Engineering role with TaskUs: Key Responsibilities: Manage a geographically diverse team of Managers/Senior Managers of Data Engineering responsible for the ETL to process, transform, and derive attributes for all operational data for reporting and analytics use from various transactional systems. Sets and enforces BI standards and architecture. Aligns BI architecture with enterprise architecture. Partner with business leaders, technology leaders, and other stakeholders to champion the strategy, design, development, launch, and management of cloud data engineering-related projects and initiatives that can scale and rapidly meet strategic and business objectives Define cloud data engineering strategy, roadmap, and strategic execution steps Collaborate with business leadership and technology partners to leverage data to support and optimize efficiencies Define, design & implement processes for data integration and data management on cloud data platforms, primarily AWS Accountable for management of project prioritization, progress, and workload management across cloud data engineering staff to ensure on-time delivery Review and manage the ticketing queue to ensure timely assignment and progression of support tickets Work directly with the IT Application Teams and other IT areas to understand, assess requirements, and prioritize a backlog of cloud services needed to be delivered to enable transformation Conduct comprehensive need assessments to create and implement modernized serverless data architecture plan that supports the business analytics and reporting needs Establish IT Data & Analysis standards, practices, and security measures to ensure effective and consistent information processing and consistent data quality/accessibility Help architect cloud data engineering source to target auditing altering solutions to ensure data quality Responsible for data architecture, ETL, backup, and security of new AWS-based data lake framework Conducts data quality initiatives to rid the system of old, unused, or duplicate data. Oversees complex data modeling and advanced project metadata development. Ensures that business rules are consistently applied across different user interfaces to limit the possibility of inconsistent results. Managed architected the migration of on-premise DW SQL server star schema to Redshift Designs specifications and standards for semantic layers and multidimensional models for complex BI projects, across all environments. Consults on training and usage for the business community by selecting appropriate BI tools, features, and techniques. Required Qualifications: A People Leader with strong stakeholder management experience Strong knowledge of Data Warehousing concepts with an understanding of traditional and MPP database designs, star and snowflake schemas, and database migration experience, with 10 Years of experience in data modeling. You must have at least 8 years of hands-on development experience using ETL Tools such as Pentaho, AWS Glue, Talend, or Airflow. Knowledge of the architecture, design, and implementation of MPP Databases such as Teradata, Snowflake, or Redshift. 5 years of experience in development using Cloud-based analytics solutions preferable (AWS). Knowledge of designing and implementing streaming pipelines using Apache Kafka, Apache Spark, and Fivetran Segment. At least 5 years experience in using Python in a cloud-based environment is a plus. Knowledge of NoSQL DBs such as MongoDB is not required but preferred. Structured thinker and effective communicator. Education / Certifications: Bachelors degree in Computer Science, Information Technology, or related fields (MBA or MS degree is a plus) or 15 to 20 years relevant experience in lieu of a degree. Work Location / Work Schedule / Travel: Remote (Global) How We Partner To Protect You: Task Us will neither solicit money from you during your application process nor require any form of payment in order to proceed with your application. Kindly ensure that you are always in communication with only authorized recruiters of Task Us. DEI: In Task Us we believe that innovation and higher performance are brought by people from all walks of life. We welcome applicants of different backgrounds, demographics, and circumstances. Inclusive and equitable practices are our responsibility as a business. Task Us is committed to providing equal access to opportunities. If you need reasonable accommodations in any part of the hiring process, please let us know. We invite you to explore all Task Us career opportunities and apply through the provided URL https://www.taskus.com/careers/ .

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You’ll Be Doing… As part of DMBM-BI, you will be helping to create and deliver a comprehensive measurement and reporting approach for all of Verizon Consumer Groups. In this role, you will interact with cross-functional teams working throughout Verizon bringing new experiences to life for our Customers. You will help in measurement, and reporting for cross-functional teams as they plan, build, and launch world-class experiences. You will help translate raw data into actionable insights and better experiences for our customers. Your deep knowledge of measurement solutions will help to determine the best approaches for implementations that best meet business needs. Working closely with the NBx/Pega Business teams and deliver reporting stories each release, and where required build new dashboards in Tableau or Qlik Sense Contributing to requirement sessions with key stakeholders and actively participate in grooming sessions with business teams Defining new metrics and business KPIs. Creating wireframes and mockups of reporting dashboards. Documenting all validated standards and processes to ensure accuracy across the enterprise. Collaborating with cross-functional teams to resolve NBx proposition anomalies and actively contribute to production defect resolutions. What We’re Looking For… You are a strong collaborator who can effectively own and prioritize multiple work streams and adapt during sometimes pressured situations. You display initiative and resourcefulness in achieving goals but are comfortable brainstorming and sharing ideas in a team environment. You will have excellent communication skills and the ability to speak effectively to internal and external stakeholders. You can partner across multiple business and technology teams. You should have strong Business Intelligence and analytics experience in CX (Customer Experience) area/root cause analytics with attention to detail, be adaptable to change and tight deadlines, and be focused on quality. Ability to mine, extract, transform, load large data sets, and create concise readouts and analyses based on the actionable insights found in the data. Bachelor’s degree and Six or more years of work experience. Six or more years of relevant work experience. Experience with SQL and SQL performance tuning. Experience with Tableau and Qlik Sense. Experience with data modeling for different data sources in Tableau or Qlik Sense. Knowledge of Google Suite and database management systems. Experience with dashboard creation with insightful visualization. Knowledge of OneJira or any ticketing tool. Even better if you have one or more of the following: Experience with third-party reporting tools (e.g., ThoughtSpot, IBM Cognos, Looker tools). Exposure to HiveQL, GCP Big Query, Teradata, and Oracle databases. Basic knowledge of programming languages (e.g., VBA/Python). Ability to derive insights from data and recommend action. Knowledge of end-to-end ETL process. If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Show more Show less

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. Data n’ Analytics – Data Strategy - Manager, Strategy and Transactions EY’s Data n’ Analytics team is a multi-disciplinary technology team delivering client projects and solutions across Data Management, Visualization, Business Analytics and Automation. The assignments cover a wide range of countries and industry sectors. The opportunity We’re looking for Manager - Data Strategy. The main objective of the role is to develop and articulate a clear and concise data strategy aligned with the overall business strategy. Communicate the data strategy effectively to stakeholders across the organization, ensuring buy-in and alignment. Establish and maintain data governance policies and procedures to ensure data quality, security, and compliance. Oversee data management activities, including data acquisition, integration, transformation, and storage. Develop and implement data quality frameworks and processes.The role will primarily involve conceptualizing, designing, developing, deploying and maintaining complex technology solutions which help EY solve business problems for the clients. This role will work closely with technical architects, product and business subject matter experts (SMEs), back-end developers and other solution architects and is also on-shore facing. Discipline Data Strategy Key Skills Strong understanding of data models (relational, dimensional), data warehousing concepts, and cloud-based data architectures (AWS, Azure, GCP). Proficiency in data analysis techniques (e.g., SQL, Python, R), statistical modeling, and data visualization tools. Familiarity with big data technologies such as Hadoop, Spark, and NoSQL databases. Client Handling and Communication, Problem Solving, Systems thinking, Passion of technology, Adaptability, Agility, Analytical thinking, Collaboration Skills And Attributes For Success 10-12 years of total experience with 8+ years in Data Strategy and Architecture field Solid hands-on 6+ years of professional experience with designing and architecting of data warehouses/ data lakes on client engagements and helping create enhancements to a data warehouse Architecture design and implementation experience with medium to complex on-prem to cloud migrations with any of the major cloud platforms (preferably AWS/Azure/GCP) 5+ years’ experience in Azure database offerings [ Relational, NoSQL, Datawarehouse ] 5+ years experience in various Azure services preferred – Azure Data Factory, Kafka, Azure Data Explorer, Storage, Azure Data Lake, Azure Synapse Analytics, Azure Analysis Services & Databricks Minimum of 8 years of hands-on database design, modelling and integration experience with relational data sources, such as SQL Server databases, Oracle/MySQL, Azure SQL and Azure Synapse Knowledge and direct experience using business intelligence reporting tools (Power BI, Alteryx, OBIEE, Business Objects, Cognos, Tableau, MicroStrategy, SSAS Cubes etc.) Strong creative instincts related to data analysis and visualization. Aggressive curiosity to learn the business methodology, data model and user personas. Strong understanding of BI and DWH best practices, analysis, visualization, and latest trends. Experience with the software development lifecycle (SDLC) and principles of product development such as installation, upgrade and namespace management Willingness to mentor team members Solid analytical, technical and problem-solving skills Excellent written and verbal communication skills Strong project and people management skills with experience in serving global clients To qualify for the role, you must have Master’s Degree in Computer Science, Business Administration or equivalent work experience. Fact driven and analytically minded with excellent attention to details Hands-on experience with data engineering tasks such as building analytical data records and experience manipulating and analysing large volumes of data Relevant work experience of minimum 12 to 14 years in a big 4 or technology/ consulting set up Help incubate new finance analytic products by executing Pilot, Proof of Concept projects to establish capabilities and credibility with users and clients. This may entail working either as an independent SME or as part of a larger team Ideally, you’ll also have Ability to think strategically/end-to-end with result-oriented mindset Ability to build rapport within the firm and win the trust of the clients Willingness to travel extensively and to work on client sites / practice office locations Strong experience in SQL server and MS Excel plus atleast one other SQL dialect e.g. MS Access\Postgresql\Oracle PLSQL\MySQLStrong in Data Structures & Algorithm Experience of interfacing with databases such as Azure databases, SQL server, Oracle, Teradata etc Preferred exposure to JSON, Cloud Foundry, Pivotal, MatLab, Spark, Greenplum, Cassandra, Amazon Web Services, Microsoft Azure, Google Cloud, Informatica, Angular JS, Python, etc. What We Look For A Team of people with commercial acumen, technical experience and enthusiasm to learn new things in this fast-moving environment An opportunity to be a part of market-leading, multi-disciplinary team of 1400 + professionals, in the only integrated global transaction business worldwide. Opportunities to work with EY SaT practices globally with leading businesses across a range of industries What We Offer EY Global Delivery Services (GDS) is a dynamic and truly global delivery network. We work across six locations – Argentina, China, India, the Philippines, Poland and the UK – and with teams from all EY service lines, geographies and sectors, playing a vital role in the delivery of the EY growth strategy. From accountants to coders to advisory consultants, we offer a wide variety of fulfilling career opportunities that span all business disciplines. In GDS, you will collaborate with EY teams on exciting projects and work with well-known brands from across the globe. We’ll introduce you to an ever-expanding ecosystem of people, learning, skills and insights that will stay with you throughout your career. Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next. Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way. Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs. Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs. EY | Building a better working world EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets. Enabled by data and technology, diverse EY teams in over 150 countries provide trust through assurance and help clients grow, transform and operate. Working across assurance, consulting, law, strategy, tax and transactions, EY teams ask better questions to find new answers for the complex issues facing our world today. Show more Show less

When you join Verizon You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife. What You’ll Be Doing… As part of DMBM-BI, you will be helping to create and deliver a comprehensive measurement and reporting approach for all of Verizon Consumer Groups. In this role, you will interact with cross-functional teams working throughout Verizon bringing new experiences to life for our Customers. You will help in measurement, and reporting for cross-functional teams as they plan, build, and launch world-class experiences. You will help translate raw data into actionable insights and better experiences for our customers. Your deep knowledge of measurement solutions will help to determine the best approaches for implementations that best meet business needs. Working closely with the NBx/Pega Business teams and deliver reporting stories each release, and where required build new dashboards in Tableau or Qlik Sense Contributing to requirement sessions with key stakeholders and actively participate in grooming sessions with business teams Defining new metrics and business KPIs. Creating wireframes and mockups of reporting dashboards. Documenting all validated standards and processes to ensure accuracy across the enterprise. Collaborating with cross-functional teams to resolve NBx proposition anomalies and actively contribute to production defect resolutions. What We’re Looking For… You are a strong collaborator who can effectively own and prioritize multiple work streams and adapt during sometimes pressured situations. You display initiative and resourcefulness in achieving goals but are comfortable brainstorming and sharing ideas in a team environment. You will have excellent communication skills and the ability to speak effectively to internal and external stakeholders. You can partner across multiple business and technology teams. You should have strong Business Intelligence and analytics experience in CX (Customer Experience) area/root cause analytics with attention to detail, be adaptable to change and tight deadlines, and be focused on quality. Ability to mine, extract, transform, load large data sets, and create concise readouts and analyses based on the actionable insights found in the data. Bachelor’s degree and Six or more years of work experience. Six or more years of relevant work experience. Experience with SQL and SQL performance tuning. Experience with Tableau and Qlik Sense. Experience with data modeling for different data sources in Tableau or Qlik Sense. Knowledge of Google Suite and database management systems. Experience with dashboard creation with insightful visualization. Knowledge of OneJira or any ticketing tool. Even better if you have one or more of the following: Experience with third-party reporting tools (e.g., ThoughtSpot, IBM Cognos, Looker tools). Exposure to HiveQL, GCP Big Query, Teradata, and Oracle databases. Basic knowledge of programming languages (e.g., VBA/Python). Ability to derive insights from data and recommend action. Knowledge of end-to-end ETL process. If Verizon and this role sound like a fit for you, we encourage you to apply even if you don’t meet every “even better” qualification listed above. Where you’ll be working In this hybrid role, you'll have a defined work location that includes work from home and assigned office days set by your manager. Scheduled Weekly Hours 40 Equal Employment Opportunity Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to race, gender, disability or any other legally protected characteristics. Show more Show less

About Lowe’s Lowe’s is a FORTUNE® 100 home improvement company serving approximately 16 million customer transactions a week in the United States. With total fiscal year 2024 sales of more than $83 billion, Lowe’s operates over 1,700 home improvement stores and employs approximately 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing, improving community spaces, helping to develop the next generation of skilled trade experts and providing disaster relief to communities in need. For more information, visit Lowes.com. Lowe’s India, the Global Capability Center of Lowe’s Companies Inc., is a hub for driving our technology, business, analytics, and shared services strategy. Based in Bengaluru with over 4,500 associates, it powers innovations across omnichannel retail, AI/ML, enterprise architecture, supply chain, and customer experience. From supporting and launching homegrown solutions to fostering innovation through its Catalyze platform, Lowe’s India plays a pivotal role in transforming home improvement retail while upholding strong commitment to social impact and sustainability. For more information, visit Lowes India About The Team A Merchandising Analyst plays a pivotal role in driving the performance of product assortments by leveraging data to optimize strategies. They are responsible for analyzing key trends across sales, margins, inventory, turnover, and other critical KPIs. By incorporating macroeconomic factors and leveraging forecasted expectations, they develop effective strategies to maximize revenue and margins, optimize inventory levels, and ensure customer needs are met efficiently. The ideal candidate should possess strong technical expertise, enabling them to conduct root cause analyses, A/B testing, hypothesis testing, and regression analysis. Their insights should translate into actionable recommendations that drive business results. Additionally, they are expected to collaborate with cross-functional teams to integrate metrics beyond merchandising and engage stakeholders to understand and address their specific requirements effectively. Job Summary The primary purpose of this role is to perform mathematical and statistical analysis or model building as appropriate. This includes following analytical best practices, analyzing and reporting accurate results, and identifying meaningful insights that directly support decision making. This role provides assistance in supporting one functional area of the business in partnership with other team members. At times, this role may work directly with the business function, but the majority of time is spent working with internal team members to identify and understand business needs. Roles & Responsibilities Core Responsibilities: Conduct in-depth analysis of business trends, financial performance, and market conditions. Develop and maintain data models, dashboards, and reports to support business decisions. Identify opportunities for operational improvements and recommend strategic solutions. Collaborate with cross-functional teams to translate data insights into actionable strategies. Ensure data accuracy, integrity, and security while handling large datasets. Present findings and recommendations to leadership in a clear and concise manner Years Of Experience 1 to 3 yrs of experience data analytics Education Qualification & Certifications (optional) Required Minimum Qualifications Bachelor's degree in business administration, computer science, computer information systems (CIS), engineering, or related field (or equivalent work experience in lieu of degree) Skill Set Required Experience using basic analytical tools such as R, Python, SQL, SAS, Adobe, Alteryx, Knime, Aster Experience using visualization tools such as Power BI, Tableau Secondary Skills (desired) Experience with business intelligence and reporting tools (e.g., MicroStrategy, Business Objects, Cognos, Adobe, TM1, Alteryx, Knime, SSIS, SQL, Svr) and Enterprise level databases (Hadoop, GCP, Azure, Oracle, Teradata, DB2) Experience working with big, unstructured data in a retail environment Experience with analytical tools like Python, Alteryx, Knime, SAS, R, etc. Experience with visualization tools like MicroStrategy VI, Power BI, SAS-VA, Tableau, D3, R-Shiny Programming experience using tools such as R, Python Data Science experience using tools such as ML, Text mining Knowledge of SQL Project management experience Experience in home improvement retail Lowe's is an equal opportunity employer and administers all personnel practices without regard to race, color, religious creed, sex, gender, age, ancestry, national origin, mental or physical disability or medical condition, sexual orientation, gender identity or expression, marital status, military or veteran status, genetic information, or any other category protected under federal, state, or local law. Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience. For information regarding our benefit programs and eligibility, please visit https://talent.lowes.com/us/en/benefits. Show more Show less

Job Overview Sr. Data Engineer II performs development activities within a data engineering team and helps guide, onboard, and train Data Engineer I. You will work closely with product management, engineering, account management, ETL, data warehouse, business intelligence, and reporting teams as you develop data pipelines and enhancements and investigate and troubleshoot issues. You possess an understanding of multiple data structures, including relational and non-relational data models. Roles And Responsibilities Extracting, cleansing, and loading data. Building data pipelines using SQL, Kafka, and other technologies. Investigation and documentation of new data sets Triage incoming bugs and incidents. Perform technical operation tasks. Investigate and troubleshoot issues with data and data pipelines. Participation in sprint refinement, planning, and kick-off to help estimate stories, raise awareness and additional implementation details. Help monitor areas of the data pipeline and raise awareness to the team when issues arise. Performing and implementing new quality assurance rules to maintain consistent and accurate data. Knowledge A solid understanding of data science concepts is required Data analysis expertise Working knowledge of ETL tools Knowledge of BI tools Handling DevOps Task is preferable Experience with Big Data technologies such as Hadoop and Kafka Extensive experience with ML frameworks and libraries including TensorFlow, Spark, PyTorch, and MLPACK Skills (Technical) Experience designing and implementing a full-scale data warehouse solution based on Snowflake. A minimum of three years’ experience in developing production-ready data ingestion and processing pipelines using Java, Spark, Scala, Python. Experience with complex data warehouse solutions on Teradata, Oracle, or DB2 platforms with 2 years of hands-on experience Expertise and excellent proficiency with Snowflake internals and integration of Snowflake with other technologies for data processing and reporting. Experience or Knowledge of Excel and several analytical tools such as Tableau, MicroStrategy, PowerBI would be added advantage Abilities (Competencies) Work Independently. Collaborates with team members. Self-motivated. Typical Experience 4 - 6 years Show more Show less

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 DAIT is Data Analytics and Insights Technology provides end-to-end technology solutions for multiple line of business. Job Description The individual will be a part of Production support L2 team – Batch Operations with technical expertise in – Hadoop/Teradata/Datastage/Autosys/Linux. Responsible for platform stability, proactive application and job monitoring, issue management & resolution, triage, reporting and timely escalation. Responsible for break-fix activities requiring to review Root Cause Analysis, Small Changes to Code, Unit Test results and help to Deploy in production following the release management & code deployment process. The ideal candidate must be highly self-motivated, proactive, attention to detail, good documentation & communication skills to interact with partners like TI, Application, Other Prod Support teams like CCO, L1, L2, L3, Application and Business stakeholders as required. Ability to think of process improvements to improve platform stability and resiliency. Responsibilities Monitor and support applications for 100% SLA meets On call support Production Ticket/Issue Triage Preparing RCA – Root Cause Analysis (RCA) document Partner with Application team, CCO, L1, Level 2 support teams to resolve the issue Prepare and/or review Impact Analysis based on issue analysis Hands on experience with Batch Ops(L1/L2) and L3 support work load. Write scripts to automate mundane daily BAU tasks Willing to provide support after office hours, weekends and stay on call when business needs Identify root cause in the code, perform break-fix activities in the code and/or DB Work on addition projects for improving production efficiency as well as reducing risk Requirements Education: B.E. / B. Tech/M.E. /M. Tech/B.Sc./M.Sc./BCA/MCA (prefer IT/CS specialization) Certifications, If Any: BFSI Domain certifications (Not Mandatory) Experience Range: 6-10 years Foundational skills: Experience in Bigdata (Hadoop) Experience in UNIX and shell scripting. Experience in ETL (Datastage/Informatica). Experience in Database (Oracle/Exadata), Teradata , DB2 Experience in Job scheduling tools like Autosys Aware of ITIL concepts like Incident and Problem Management Experience in application development or production support.( preferably in Batch Processing , scheduling , monitoring , triaging. Desired skills: Experience with Hadoop architecture ,HIVE , Impala, coding in Python , Experience in Datastage 11.7 and above Working Experience with SQL , Teradata, Oracle ,DB2 . Work Timings: 06:30 a.m. to 03:30 p.m. and 11:30 a.m. to 08:30 p.m, Job Location: Chennai

AV-281592 INDORE,Madhya Pradesh,India Vollzeit Unbefristet Global Business Services DHL INFORMATION SERVICES (INDIA) LLP Your IT Future, Delivered Solutions Architect With a global team of 5600+ IT professionals, DHL IT Services connects people and keeps the global economy running by continuously innovating and creating sustainable digital solutions. We work beyond global borders and push boundaries across all dimensions of logistics. You can leave your mark shaping the technology backbone of the biggest logistics company of the world. All Our locations have earned #GreatPlaceToWork certification, reflecting our commitment to exceptional employee experiences. Digitalization. Simply delivered. At IT Services, we are passionate about Solution Architect in datawarehouse and business intelligence space. Our Customer Service Complex Data Solution team is continuously expanding. No matter your level of Solution Architect proficiency, you can always grow within our diverse environment. #DHL #DHLITServices #GreatPlace #ppmt #Kart #cscombine Grow together. We strive to deliver efficient and optimized business solutions in the Area of Customer Service Complex Data Solutions for our business. You will work as Solutions Architect for existing and new applications to provide end to end Architecture expertise on wide range of technologies like Azure Cloud, Python, Snowflake, Teradata, Power BI, Matillion and many more. You will be our main Architect providing guidance and direction on the implementation of Application Solutioning & Design, Analytics, Data Warehousing & Reporting products. You will ensure that the Analytics & Reporting solutions meets the required performance benchmark and adheres to standards & guidelines. You will guide the development team with technical expertise for ensuring business requirements are implemented as expected. This would mean you sometime have to get down to coding and provide a solution or high-level approach to achieve the requirement to give direction to the Dev Team. You will work with project teams to ensure Business Requirements are delivered keeping in mind the end-to-end Solution & Application/Data Architecture. You will get to work with some of the complex data structures that will need your expertise to Data Modelling & Design. You will be involved in optimizing the performance and resource utilization of the existing solutions. As a senior member in the team, you will collaborate with business users on Requirements and ensure that the requirements are well defined before assigning for development. Lead discussion with Business during UAT Defects review. You will be working on latest technologies like Snowflake, Matilllion, Teradata, ERWIN, Microservices, Data pipelines, Jenkins, Jira/Confluence, Splunk etc. You will get ample opportunities to grow within the organization and with focus on continuous learning will get opportunity to work & learn many different technologies. Ready to embark on the journey? Here’s what we are looking for: As a Solution Architect, you are well versed in architecture design, software development experiences especially in Python, familiarity of development framework and also analytics and problem solving skills. Having excellent skills in understanding the latest technology relation to the business knowledge of customer service experience is a huge plus. Very good knowledge of data modeling will also be an integral part of this role and experience in implementation of customer facing application. Been part of the Agile / Scrum team experience is useful. You are a business intelligence technology aficionado, therefore you have a good understanding of latest analytics skill sets and experience in implementation of MVP and POC rapid prototyping experience is good to have also in the AI space of new technology adoptions. You are able to work independently prioritize and organize your tasks under time and workload pressure. Working in a multinational environment, you can expect cross-region collaboration with teams around the globe, thus being advanced in spoken and written English will be certainly useful. Basic certification / knowledge of AWS / Azure/ Snowflake/ Teradata/ Power BI related too is a plus. An array of benefits for you: Hybrid work arrangements to balance in-office collaboration and home flexibility. Annual Leave: 42 days off apart from Public / National Holidays. Medical Insurance: Self + Spouse + 2 children. An option to opt for Voluntary Parental Insurance (Parents / Parent -in-laws) at a nominal premium covering pre existing disease. In House training programs: professional and technical training certifications.

Data Modeller JD We are seeking a skilled Data Modeller to join our Corporate Banking team. The ideal candidate will have a strong background in creating data models for various banking services, including Current Account Savings Account (CASA), Loans, and Credit Services. This role involves collaborating with the Data Architect to define data model structures within a data mesh environment and coordinating with multiple departments to ensure cohesive data management practices. Data Modelling: oDesign and develop data models for CASA, Loan, and Credit Services, ensuring they meet business requirements and compliance standards. Create conceptual, logical, and physical data models that support the bank's strategic objectives. Ensure data models are optimized for performance, security, and scalability to support business operations and analytics. Collaboration With Data Architect Work closely with the Data Architect to establish the overall data architecture strategy and framework. Contribute to the definition of data model structures within a data mesh environment. Data Quality And Governance Ensure data quality and integrity in the data models by implementing best practices in data governance. Assist in the establishment of data management policies and standards. Conduct regular data audits and reviews to ensure data accuracy and consistency across systems. Data Modelling Tools: ERwin, IBM InfoSphere Data Architect, Oracle Data Modeler, Microsoft Visio, or similar tools. Databases: SQL, Oracle, MySQL, MS SQL Server, PostgreSQL, Neo4j Graph Data Warehousing Technologies: Snowflake, Teradata, or similar. ETL Tools: Informatica, Talend, Apache NiFi, Microsoft SSIS, or similar. Big Data Technologies: Hadoop, Spark (optional but preferred). Technologies: Experience with data modelling on cloud platforms Microsoft Azure (Synapse, Data Factory) Show more Show less