4258 Data Quality Jobs - Page 46

This position will report to Data/Process Governance Manager. The candidate will contribute to various Data/Process Governance initiatives. This will involve interactions with stakeholders across the designations. The candidate will also play a pivotal role in facilitating Committee and other Data Governance Working Group meetings. Testing periodic Controls of the team. The candidate will also be involved in various Data/Process Governance initiatives such as creating/ amending various documents i.e., Policies, Standards and Procedures etc. The role demands excellent communication skills to communicate and deliver cross border requirements. Responsibilities Direct Responsibilities The candidate shall work closely with Data/Process Governance and Data Management teams. Should have good hands-on knowledge of MS PowerPoint to support preparing deck/presentations for various data governance committee meetings and working groups. Prepare minutes of the meeting and circulate them. Coordinate various Data/Process Governance related initiatives with data stewards and other stakeholders. Independently Manage interactions/requirements coming from Onshore Data Governance Manager and others Leads in the Data Office team. Perform periodic governance controls testing activities. Create/amend various documents Policies, Standards and Procedures. This requires excellent interpretation skill to understand complex documents. The candidate shall support policy administration, documents renewal process, other admin activities related to Data Management and data analysis etc. Contributing Responsibilities Own/Contribute/Conclude to any ad-hoc projects. Technical Behavioral Competencies Good organizational and interpersonal skills. Attention to detail and the ability to work with a distributed multinational and multicultural team. Display a sense of curiosity, enthusiasm, and eagerness to understand business constraints, environment, and impact on regulation for the financial industry. Initiative, autonomy, self-motivated, self-starter. Extremely well organized and able to ensure adherence to a strict process. Flexible in a dynamic and evolving environment. Develops open, considerate, and effective relationships with stakeholders. Ability to work under pressure and creatively address various topics in-hand. Specific Qualifications (if required) Bachelor Degree 5+ years of work experience in Process Governance / Data Governance / Data Management /Internal Audits. Proficient in MS Office (Word/Excel/PowerPoint) Excellent communication skills, verbal and written. MBA can also apply. Skills Referential Behavioural Skills : (Please select up to 4 skills) Ability to collaborate / Teamwork Ability to deliver / Results driven Ability to share / pass on knowledge Communication skills - oral written Transversal Skills: Ability to understand, explain and support change Analytical Ability Ability to manage / facilitate a meeting, seminar, committee, training Ability to develop and adapt a process Education Level: Bachelor Degree or equivalent

The purpose of this position is to conduct data risk assessment, find issues in the data used for US Federal Reserve regulatory reporting, set up detective rules to catch hold of exceptions. set up controls in close coordination with business stakeholders. The person joining will assist business and regulatory reporting teams to raise issues that affects them, conduct root cause analysis and take them to effective resolution owners to get them closed. The position also helps in identifying areas of continuous improvement and improve them thus achieving higher efficiency. Support audit queries from time to time from audit teams. Direct Responsibilities; Data Risk Assessment Conduct data risk assessment on data that is used, linked and moves across hobs and the risks faced. Data Analysis Analyze large volumes of data related to investment banking domains i.e. capital markets, corporate banking, liquidity, credit risk, market risk, client referential and securities referential and identify issues in them via data quality checks, conduct quality checks on a periodical basis as required and present results to stakeholder for corrective action and take them to closure. Prepare functional reports and assist in automating the process using tools as required. Undertake deep dive of issues affecting the business and come up with the remediation actions. Understand how the data moves across the bank and set up data control checks based on risks. Assess the exceptions generated and share the same with Data Stewards. Understand either of the US FED reports FFIEC002, FRY-15. FFIEC-009 and understand how they are filed from an accounting basis. Understand the gaps in coverage and check for setting up of control checks. Write medium to complex SQL queries to extract data from database for data analysis. Be able to connect the dots. Explain the functional gaps to techno functional team so that they can incorporate those checks in their systems. Develop test cases aimed at validating development for a given functional requirement and record them in the official test management platform. Have a continuous improvement mindset. Data Controls Maintain an overview and inventory of controls. Conduct a review of the controls in a periodic manner with Data Stewards and business, APS and IT stakeholders. Conduct a certification assessment of the controls on a quarterly cycle. Prefiling Analysis Conduct a prefiling analysis to understand whether the transactions are clubbed properly and reported in the correct MDRM in specific Fed reports. Issue Management and Remediation Keep a list of the issues, help conduct root cause analysis. Conduct root cause analysis on the issues identified and communicated in close collaboration with data stakeholders. Project Work Work on creating requirements for automating processes. Test the solution as per requirement. Audit Support Help support audit requirements and responses under stringent timelines. Contributing Responsibilities; - Partner with data domain owners to develop new functional logics in existing SQL queries; which will enhance and support the goal of quality data being used for reporting purposes. - Produce and distribute daily/weekly team Status reports and contribute to project status reporting depending on the undertaking at hand - Understand the competitive landscape and adopt technology based solutions to drive efficiency - Create SOPs, perform knowledge transfer and cross training for proper backup in team Technical Behavioral Competencies Able to write moderate level SQL queries in Oracle without any assistance. - Understanding of various data models for extraction of required data sets to be consumed for Root cause analysis. - Experience in one or many of these data quality tools and reporting tools/applications; Power BI, Collibra - Proficient in MS Office applications; MS Excel, MS Word, MS Powerpoint. Specific Qualifications (if required) M.Com/CA/ CFA along with 7 years of experience with all shown below:- - Data quality area - Data Controls attestation expertise - Should have supported US FED reports - Ability to perform root cause analysis - Business Analyst working in a financial institution and has completed multiple SDLC lifecycle. Skills Referential Behavioural Skills : (Please select up to 4 skills) Ability to collaborate / Teamwork Attention to detail / rigor Ability to deliver / Results driven Active listening Transversal Skills: Ability to develop and adapt a process Ability to understand, explain and support change Analytical Ability Ability to set up relevant performance indicators Ability to develop and leverage networks Education Level: Master Degree or equivalent

About The Role Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : SAP FSCM Credit Management Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the effort to design, build, and configure applications- Act as the primary point of contact- Manage the team and ensure successful project delivery Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP FSCM Credit Management- Experience with using Multi-Bank Connectivity (MBC) product for customer payments- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 5 years of experience in SAP FSCM Credit Management- This position is based at our Bengaluru office- A 15 years full-time education is required Qualification 15 years full time education

Type of Candidate They Want: Strong experience with data governance tools (especially Informatica) Experience building data policies and quality frameworks Knows privacy laws and regulatory standards Worked with cloud platforms like AWS, Azure, or GCP Can manage cross-functional teams , conduct meetings, and influence business leaders

About The Role Project Role : Application Tech Support Practitioner Project Role Description : Act as the ongoing interface between the client and the system or application. Dedicated to quality, using exceptional communication skills to keep our world class systems running. Can accurately define a client issue and can interpret and design a resolution based on deep product knowledge. Must have skills : Wireless Technologies Operations Good to have skills : NAMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Tech Support Practitioner, you will act as the ongoing interface between the client and the system or application. You will be dedicated to quality, using exceptional communication skills to keep our world-class systems running. With your deep product knowledge, you will accurately define client issues and design resolutions. Your typical day will involve providing ongoing support to clients, troubleshooting technical issues, and ensuring smooth system operations. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work-related problems.- Provide ongoing support to clients, addressing their technical issues and concerns.- Troubleshoot system or application problems and provide timely resolutions.- Collaborate with cross-functional teams to ensure smooth system operations.- Stay updated with the latest product knowledge and industry trends.- Identify areas for process improvement and suggest innovative solutions. Professional & Technical Skills: - Must To Have Skills: Proficiency in Wireless Technologies Operations.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 3 years of experience in Wireless Technologies Operations.- This position is based at our Bengaluru office.- A 15 years full-time education is required. Qualification 15 years full time education

About The Role Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Snowflake Data Warehouse, PySpark, Core Banking Good to have skills : AWS BigDataMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting any issues that arise in the data processing workflow. Your role will be pivotal in enhancing the efficiency and reliability of data operations within the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Mentor junior team members to enhance their skills and knowledge in data engineering.- Continuously evaluate and improve data processing workflows to optimize performance. Professional & Technical Skills: - Must To Have Skills: Proficiency in Snowflake Data Warehouse, Core Banking, PySpark.- Good To Have Skills: Experience with AWS BigData.- Strong understanding of data modeling and database design principles.- Experience with data integration tools and ETL processes.- Familiarity with cloud-based data solutions and architectures. Additional Information:- The candidate should have minimum 7.5 years of experience in Snowflake Data Warehouse.- This position is based in Pune.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Stibo Product Master Data Management Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. Your typical day will involve collaborating with various teams to ensure that application development aligns with business objectives, overseeing project timelines, and facilitating communication among stakeholders to drive successful project outcomes. You will also engage in problem-solving activities, providing guidance and support to your team while ensuring that best practices are followed throughout the development process. Your role will be pivotal in shaping the direction of application projects and ensuring that they meet the needs of the organization. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Facilitate training and development opportunities for team members to enhance their skills.- Monitor project progress and implement necessary adjustments to ensure timely delivery. Professional & Technical Skills: - Must To Have Skills: Proficiency in Stibo Product Master Data Management.- Strong understanding of data governance principles and practices.- Experience with application design and architecture.- Ability to analyze complex data sets and derive actionable insights.- Familiarity with project management methodologies and tools. Additional Information:- The candidate should have minimum 5 years of experience in Stibo Product Master Data Management.- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Collibra Data Governance Good to have skills : Machine LearningMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. Your typical day will involve collaborating with teams to develop innovative solutions and ensure seamless application functionality. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the implementation of new technologies for enhanced application performance- Conduct regular code reviews and provide constructive feedback to team members- Stay updated on industry trends and best practices to drive continuous improvement Professional & Technical Skills: - Must To Have Skills: Proficiency in Collibra Data Governance- Good To Have Skills: Experience with Machine Learning- Strong understanding of data governance principles and best practices- Hands-on experience in implementing data governance solutions- Ability to analyze complex data sets and derive actionable insights- Excellent communication and interpersonal skills for effective collaboration Additional Information:- The candidate should have a minimum of 7.5 years of experience in Collibra Data Governance- This position is based at our Mumbai office- A 15 years full-time education is required Qualification 15 years full time education

About The Role Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Alteryx Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems. Be involved in the end-to-end data management process. Roles & Responsibilities:- Expected to be an SME.- Collaborate and manage the team to perform.- Responsible for team decisions.- Engage with multiple teams and contribute on key decisions.- Provide solutions to problems for their immediate team and across multiple teams.- Lead data solution architecture design.- Implement data governance policies and procedures.- Optimize data storage and retrieval processes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Alteryx.- Strong understanding of data modeling and database design.- Experience with data integration tools and techniques.- Knowledge of data warehousing concepts.- Hands-on experience with SQL and scripting languages. Additional Information:- The candidate should have a minimum of 5 years of experience in Alteryx.- This position is based at our Mumbai office.- A 15 years full-time education is required. Qualification 15 years full time education

About The Role Skill required: Property & Casualty - Catastrophe Risk Management Designation: Analytics and Modeling Senior Analyst Qualifications: Any Graduation/12th/PUC/HSC Years of Experience: 5 to 8 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Ability to perform quarterly CAT risk aggregation and deliver insightful and actionable reporting to internal stakeholdersUnderstand complex treaty structure and apply to portfolio risks Provide stakeholders explanation of portfolio results and trending over time, model change impacts, and data quality and limitationsSupport ad-hoc reporting, corporate and unit level reinsurance placements, and deliver quarterly CAT data to external partnersApply CAT modeling best practices by continually understanding the evolving process within Client and build process efficienciesCoaching and develop members within teamMaintain good documentation of results, issues, data quality etc and have regular dialogue with each line of business to provide feedbackClaims settlements related any client property they own or any accidentsCatastrophe Risk Management refers to the process of guiding insurers how to manage risk aggregations, deploy capital, and price insurance coverage by using computer assisted calculations to estimate the losses that could be sustained due to a catastrophic event such as a hurricane or earthquake. What are we looking for Minimum 5 years of catastrophe modelling experience - Strong analytical, problem-solving approach strong knowledge on various reinsurance is mustExperience in using RMS applications and / or AIR CAT model(s) is mustClear communicator, able to structure an argument and explain complex issues in a simple way faster learning capabilitiesAdvanced knowledge in MS Office applications (Outlook, Word, Excel & PowerPoint) Willingness to work and handle multi tasking in a rapidly changing environment with some firm deadlinesShould have better SQL skills and understand the database schema additional programming (R/VBA) is advantageAbility to work independently. Roles and Responsibilities: In this role you are required to do analysis and solving of increasingly complex problems Your day to day interactions are with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instruction on new assignments Decisions that are made by you impact your own work and may impact the work of others In this role you would be an individual contributor and/or oversee a small work effort and/or team Please note that this role may require you to work in rotational shifts Qualification Any Graduation,12th/PUC/HSC

About The Role Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Spring Boot, Japanese Language Good to have skills : Spring Application FrameworkMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Lead, you will lead the effort to design, build, and configure applications, acting as the primary point of contact. You will be responsible for managing the team and ensuring successful project delivery. Your typical day will involve collaborating with multiple teams, making key decisions, and providing solutions to problems for your immediate team and across multiple teams. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead the effort to design, build, and configure applications- Act as the primary point of contact- Manage the team and ensure successful project delivery Professional & Technical Skills: - Must To Have Skills: Proficiency in Spring Boot, Japanese- Good To Have Skills: Experience with Spring Application Framework- Strong understanding of statistical analysis and machine learning algorithms- Experience with data visualization tools such as Tableau or Power BI- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity Additional Information:- The candidate should have a minimum of 5 years of experience in Spring Boot- This position is based in Mumbai with location flex for cross location resource.- A 15 years full-time education is required Qualification 15 years full time education

About The Role Project Role : Data Governance Practitioner Project Role Description : Establish and enforce data governance policies to ensure the accuracy, integrity, and security of organizational data. Collaborate with key stakeholders to define data standards, facilitate effective data collection, storage, access, and usage; and drive data stewardship initiatives for comprehensive and effective data governance. Must have skills : Collibra Data Governance Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Governance Practitioner, you will establish and enforce data governance policies to ensure the accuracy, integrity, and security of organizational data. Collaborate with key stakeholders to define data standards, facilitate effective data collection, storage, access, and usage; and drive data stewardship initiatives for comprehensive and effective data governance. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead data governance initiatives within the organization- Develop and implement data governance policies and procedures- Ensure compliance with data governance regulations and standards Professional & Technical Skills: - Must To Have Skills: Proficiency in Collibra Data Governance- Strong understanding of data governance principles- Experience in implementing data governance frameworks- Knowledge of data quality management practices- Familiarity with data privacy and security regulations Additional Information:- The candidate should have a minimum of 5 years of experience in Collibra Data Governance.- This position is based at our Hyderabad office.- A 15 years full time education is required. Qualification 15 years full time education

Description Ciklum is looking for a Senior Data Engineer to join our team full-time in India. We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4, 000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live. About the role: As a Senior Data Engineer, become a part of a cross-functional development team engineering experiences of tomorrow. Responsibilities Develop and optimize robust, scalable data pipelines using PySpark and Python Clean, transform, and enrich large-scale datasets from structured and unstructured sources Implement data ingestion, ETL/ELT workflows, and integration strategies across cloud and on-prem platforms Collaborate with data scientists, analysts, and business stakeholders to understand data requirements Ensure data quality, integrity, and lineage throughout the data lifecycle Participate in performance tuning, troubleshooting, and production support Contribute to best practices in data engineering, including code versioning, testing, and CI/CD Requirements Bachelor s degree in Computer Science, Data Engineering, or related field 3+ years of experience in data engineering with a focus on PySpark and Python Strong hands-on experience with distributed data processing frameworks (e. g. , Apache Spark) Solid understanding of SQL, data modeling, and relational databases Experience working with cloud platforms (e. g. , AWS, Azure, GCP) Familiarity with workflow orchestration tools (e. g. , Airflow, Azure Data Factory) Desirable Java experience for supporting hybrid data platforms and legacy integrations Exposure to data lakes, delta lakes, and modern data architectures Knowledge of containerization (Docker), Kubernetes, and CI/CD pipelines Familiarity with data governance, security, and compliance frameworks Whats in it for you Strong community: Work alongside top professionals in a friendly, open-door environment Growth focus: Take on large-scale projects with a global impact and expand your expertise Tailored learning: Boost your skills with internal events (meetups, conferences, workshops), Udemy access, language courses, and company-paid certifications Endless opportunities: Explore diverse domains through internal mobility, finding the best fit to gain hands-on experience with cutting-edge technologies Care: We ve got you covered with company-paid medical insurance, mental health support, and financial & legal consultations

The opportunity: As a Global Configurator Deployment Specialist, you will play a pivotal role in ensuring the smooth operation of our product customization processes. Your responsibilities encompass both configuration governance and master data management. The primary responsibility of the Global Application specialist is to onboard various Transformer products, into different types of configurators and Web shop. You are strongly involved in all operational activities and contributes to various areas, from solution design, through testing, deployment, configuration, and development to users training. How you ll make an impact: Configuration Management: Lead the deployment and maintenance of configuration data, including product specifications of complex industrial goods, costing, and pricing, collaborate closely with developers in order to ensure business satisfaction. Business understanding: Develop business requirements based on company needs, drive ROI assessments for new developments. Testing and Validation: Rigorously test and validate configuration models and scenarios. Collaboration: Work closely with cross-functional teams, including product managers, engineers, and sales, to maintain consistency and accuracy in product configurations, creation of documentations and training material Performance Monitoring: Continuously monitor and analyze configuration performance, incorporating customer feedback for improvements. Training and Support: Provide training and support to factory and sales teams on configurator and web shop utilization. Cross-Functional Project Management: Manage cross-functional projects related to configurator and web shop enhancements. Communication: Facilitate communication between businesses and IT, resolving conflicts and gaining commitment. Requirement Engineering: Determine which requirements are covered by standard functionalities and identify areas for enhancements. Data-Driven Decision-Making: Analyze data from configurator and web shop usage to inform decision-making and improve tool effectiveness. Core Data Elements: Manage critical master data objects, such as products, business partners, technical assets, and enterprise structures. Data Compliance: Ensure compliance with data standards and policies. Data Quality: Perform data cleansing, validation, and enrichment to maintain high-quality master data. Data Integration: Support data migration, integration, and synchronization efforts. Issue Resolution: Address data-related issues promptly and provide data support to stakeholders. C ompliance: Responsible to ensure compliance with applicable external and internal regulations, procedures, and guidelines. Safety and integrity: Living Hitachi Energy s core values of safety and integrity, which means taking responsibility for your own actions while caring for your colleagues and the business. Your Background: Bachelor s degree in a relevant field (e. g. , Business, IT, Engineering). Experience working within a multinational company and managing cross-regional projects is highly desirable. Demonstrated excellence in project management. Solid background in sales and marketing. Experience with e-Config and Camos tools is an added advantage Knowledge of configuration strategies across various business archetypes. Technical expertise in configuration and master data management. Established proficiency in SalesForce. com. Experience/knowledge in SAP SD, MM, Pricing Familiarity with MS Project and Jira is beneficial. Technical expertise in configuration and master data management tools. Robust problem-solving capabilities and meticulous attention to detail. Strong communication skills for effective cross-team collaboration. Previous experience in pricing is highly valued. Comprehensive cost modelling and understanding of full cost models (highly advantageous). Proficiency in both spoken & written English language is required. Qualified individuals with a disability may request a reasonable accommodation if you are unable or limited in your ability to use or access the Hitachi Energy career site as a result of your disability. You may request reasonable accommodations by completing a general inquiry form on our website. Please include your contact information and specific details about your required accommodation to support you during the job application process. .

Job Description : Job Summary: We are looking for a talented Power BI Developer with hands-on experience in Microsoft Fabric to join our data and analytics team. The ideal candidate will be responsible for building interactive dashboards, integrating various data sources using Fabric Dataflows, and implementing end-to-end BI solutions that drive business decisions. A strong understanding of the Microsoft data ecosystem, DAX, and data modeling best practices is essential. Having knowledge of the manufacturing industry would be an added advantage. Key Responsibilities: Power BI Development: Design and develop visually compelling, interactive reports and dashboards using Power BI. Build data models, implement DAX calculations, and optimize performance for large datasets. Create reusable templates, themes, and standardized visuals. Microsoft Fabric (Preferred/Good to Have): Utilize Microsoft Fabric components like OneLake, Lakehouse, Dataflows Gen2, Pipelines, and Notebooks. Connect and manage Data Warehouses and Lakehouses for unified data modeling. Collaborate with data engineers to create semantic models using Direct Lake, Import, or Direct Query modes. Work with Notebooks for data exploration and Power BI integrations for data storytelling. Data Integration & Governance: Connect Power BI to various data sources (SQL Server, Excel, SharePoint, Fabric, Dataverse, SAP, APIs, etc. ). Implement row-level security (RLS) and dataset certifications to ensure secure and trusted analytics. Ensure data quality, integrity, and documentation across the BI solution lifecycle. Collaboration & Communication: Gather requirements from stakeholders and translate them into scalable BI solutions. Work closely with cross-functional teams including Data Engineers, Analysts, and Business Users. Present analytical insights to non-technical users in a meaningful way.

Responsibilities: Responsible and self-driven work in the field of data engineering. Design, develop, and maintain data pipelines and ETL processes to ingest, process, transform and store large volumes of data from diverse sources. Collaborate with the business stakeholders to understand their data requirements and provide data-driven solutions and insights for decision making. Optimize and tune data pipelines and database performance for scalability, efficiency, and reliability. Implement and maintain data warehouses, data lakes, and other data storage solutions for efficient data retrieval and analysis. Ensure data quality, integrity, and security throughout the data lifecycle. Create data visualizations and reports to communicate findings effectively to technical and non-technical audiences. Stay updated with the latest data engineering, tools, and best practices. Interest in Data (Analysis, Schema, Validation, Visualization) Should be able to handle both big data and small data. Required Skills: Proven experience as a Data Engineer, showcasing expertise in both domains. Proficiency in programming languages such as Python with proper coding standards. Strong knowledge in PySpark, IMPALA, HIVE & Tableau. Strong experience with SQL and relational databases (e. g. , PostgreSQL, MySQL, etc. ). Familiarity with NoSQL databases (e. g. , MongoDB, Cassandra) is a plus. Knowledge of data modeling, data warehousing, and data architecture. Experience with big data processing frameworks (e. g. , Hadoop, Spark). In-depth knowledge of orchestration and scheduling jobs for data engineering pipelines with Apache Airflow. Experience with Cloud-based data solutions (e. g. , AWS, Azure, GCP) is advantageous. Experience with JIRA, GIT & Bitbucket. Excellent problem-solving and analytical skills. Strong communication and presentation skills. Ability to work independently and collaboratively in a team environment. Qualifications Bachelor s or Master s degree in Computer Science or a related field.

Key Responsibilities Data Architecture Design Define and design Big Data architecture solutions, including data lakes, data warehouses, and real-time processing systems. Architect and implement scalable, secure, and high-performance data pipelines and data integration solutions. Ensure alignment with industry best practices and organizational goals for data architecture. Big Data Ecosystem Management Develop and manage workflows using Big Data tools like Hadoop, Spark, Kafka, Hive, and Flink. Leverage cloud-based Big Data services (AWS EMR, Azure Synapse, GCP BigQuery, or similar) to optimize performance and scalability. Oversee the implementation of streaming data platforms to support real-time analytics. Data Modeling and Integration Design and maintain data models (conceptual, logical, and physical) that support structured and unstructured data. Build robust ETL/ELT processes to ingest, process, and integrate large volumes of diverse data sources. Implement APIs and frameworks for seamless data sharing and consumption. Data Governance and Security Establish frameworks to ensure data quality , lineage, and governance across the data lifecycle. Implement security measures for data at rest and in motion using encryption and access controls. Ensure compliance with global data regulations such as GDPR, CCPA, or similar. Gen AI exposure / experience as mandatory . Collaboration and Stakeholder Engagement Partner with data engineers, data scientists, business analysts, and IT teams to align architecture with business needs. Translate complex technical concepts into actionable insights for stakeholders. Performance Optimization and Monitoring Monitor and optimize performance of Big Data systems, ensuring low latency and high reliability. Troubleshoot and resolve performance bottlenecks in distributed data environments. Emerging Technology and Innovation Evaluate and implement emerging technologies, such as Graph Databases, NoSQL Systems, and AI-driven analytics platforms . Continuously explore innovations in the Big Data ecosystem to drive efficiency and competitive advantage. Success Criteria Explore different tech stacks and architecture design Document supporting evidence with KPIs for decision on solution design and document product guideline and protocols to seamlessly utilize the framework Prior experience with ETL & Big Data to set up scalable pipeline to process data in real time and batch Develop configurable solutions to support cross functional requirements and support multiple platforms. Experience in managing cross-functional team, requirements gathering , day-to-day relationships with clients, and stakeholders supporting clients to achieve better outcomes Preferred Qualifications Experience : 10+ years of experience in data architecture, with at least 3+ years focusing on Big Data technologies. 5+ years as Data Architect with proficiency working in environments supporting solutions design Proven track record of delivering end-to-end Big Data solutions in enterprise environments. Technical Expertise : Strong understanding of Big Data frameworks like Hadoop, Spark, Kafka, Hive, Flink, and Presto. Proficiency in cloud-based Big Data platforms (AWS EMR, Azure Synapse, GCP BigQuery, or Databricks). Expertise in database systems, including both SQL (e. g. , PostgreSQL, MySQL) and NoSQL (e. g. , MongoDB, Cassandra). Hands-on experience with ETL tools like Talend, Informatica, or Apache NiFi. Familiarity with data visualization tools (e. g. , Tableau, Power BI) and analytics platforms. Certifications : Certifications such as AWS Certified Data Analytics, Azure Data Engineer Associate, GCP Professional Data Engineer, or Hadoop certifications are highly desirable. Key Attributes Strong analytical and problem-solving skills with a passion for data-driven innovation. Excellent communication and collaboration abilities to engage both technical and non-technical stakeholders. Strategic mindset with a focus on scalability, performance, and alignment with business objectives. Ability to thrive in fast-paced environments and handle multiple priorities effectively.

: Data Architect Location : Bangalore / Hyderabad / Pune / Coimbatore Position Overview We are seeking an experienced Data Architect to design, implement, and optimize cutting-edge data solutions with a focus on Big Data technologies. This role will involve creating robust and scalable data architectures to support analytics, AI, and business intelligence initiatives. The ideal candidate will have deep expertise in data modeling, integration, governance, and advanced tools and frameworks used in Big Data environments. Key Responsibilities Data Architecture Design Define and design Big Data architecture solutions, including data lakes, data warehouses, and real-time processing systems. Architect and implement scalable, secure, and high-performance data pipelines and data integration solutions. Ensure alignment with industry best practices and organizational goals for data architecture. Big Data Ecosystem Management Develop and manage workflows using Big Data tools like Hadoop, Spark, Kafka, Hive, and Flink. Leverage cloud-based Big Data services (AWS EMR, Azure Synapse, GCP BigQuery, or similar) to optimize performance and scalability. Oversee the implementation of streaming data platforms to support real-time analytics. Data Modeling and Integration Design and maintain data models (conceptual, logical, and physical) that support structured and unstructured data. Build robust ETL/ELT processes to ingest, process, and integrate large volumes of diverse data sources. Implement APIs and frameworks for seamless data sharing and consumption. Data Governance and Security Establish frameworks to ensure data quality , lineage, and governance across the data lifecycle. Implement security measures for data at rest and in motion using encryption and access controls. Ensure compliance with global data regulations such as GDPR, CCPA, or similar. Gen AI exposure / experience as mandatory . Collaboration and Stakeholder Engagement Partner with data engineers, data scientists, business analysts, and IT teams to align architecture with business needs. Translate complex technical concepts into actionable insights for stakeholders. Performance Optimization and Monitoring Monitor and optimize performance of Big Data systems, ensuring low latency and high reliability. Troubleshoot and resolve performance bottlenecks in distributed data environments. Emerging Technology and Innovation Evaluate and implement emerging technologies, such as Graph Databases, NoSQL Systems, and AI-driven analytics platforms . Continuously explore innovations in the Big Data ecosystem to drive efficiency and competitive advantage. Success Criteria Explore different tech stacks and architecture design Document supporting evidence with KPIs for decision on solution design and document product guideline and protocols to seamlessly utilize the framework Prior experience with ETL & Big Data to set up scalable pipeline to process data in real time and batch Develop configurable solutions to support cross functional requirements and support multiple platforms. Experience in managing cross-functional team, requirements gathering , day-to-day relationships with clients, and stakeholders supporting clients to achieve better outcomes Preferred Qualifications Education : Bachelor s or Master s degree in Computer Science, Data Engineering, Information Systems, or a related field. Experience : 10+ years of experience in data architecture, with at least 3+ years focusing on Big Data technologies. 5+ years as Data Architect with proficiency working in environments supporting solutions design Proven track record of delivering end-to-end Big Data solutions in enterprise environments. Technical Expertise : Strong understanding of Big Data frameworks like Hadoop, Spark, Kafka, Hive, Flink, and Presto. Proficiency in cloud-based Big Data platforms (AWS EMR, Azure Synapse, GCP BigQuery, or Databricks). Expertise in database systems, including both SQL (e. g. , PostgreSQL, MySQL) and NoSQL (e. g. , MongoDB, Cassandra). Hands-on experience with ETL tools like Talend, Informatica, or Apache NiFi. Familiarity with data visualization tools (e. g. , Tableau, Power BI) and analytics platforms. Certifications : Certifications such as AWS Certified Data Analytics, Azure Data Engineer Associate, GCP Professional Data Engineer, or Hadoop certifications are highly desirable. Key Attributes Strong analytical and problem-solving skills with a passion for data-driven innovation. Excellent communication and collaboration abilities to engage both technical and non-technical stakeholders. Strategic mindset with a focus on scalability, performance, and alignment with business objectives. Ability to thrive in fast-paced environments and handle multiple priorities effectively.

You are a strategic thinker passionate about driving solutions in business architecture and data management. You have found the right team. As a Banking Book Product Owner Sr. Associate in our Firmwide Finance Business Architecture (FFBA) team, you will spend each day defining, refining, and delivering set goals for our firm. You will partner with stakeholders across various lines of business and subject matter experts to understand products, data, source system flows, and business requirements related to Finance and Risk applications and infrastructure. As a Product Owner on the Business Architecture team, you will work closely with Line of Business stakeholders, data Subject Matter Experts, Consumers, and technology teams across Finance, Credit Risk & Treasury, and various Program Management teams. Your primary responsibilities will include prioritizing the traditional credit product book of work, developing roadmaps, and delivering on multiple projects and programs during monthly releases. Your expertise in data analysis and knowledge will be instrumental in identifying trends, optimizing processes, and driving business growth. As our organization grows, so does our reliance on insightful, data-driven decisions. You will dissect complex datasets to unearth actionable insights while possessing a strong understanding of data governance, data quality, and data management principles. Job Responsibilities Utilize Agile Framework to write business requirements in the form of user stories to enhance data, test execution, reporting automation, and digital analytics toolsets. Engage with development teams to translate business needs into technical specifications, ensuring acceptance criteria are met. Drive adherence to product and Release Management standards and operating models. Manage the release plan, including scope, milestones, sourcing requirements, test strategy, execution, and stakeholder activities. Collaborate with lines of business to understand products, data capture methods, and strategic data sourcing into a cloud-based big data architecture. Identify and implement solutions for business process improvements, creating supporting documentation and enhancing end-user experience. Collaborate with Implementation leads, Release managers, Project managers, and data SMEs to align data and system flows with Finance and Risk applications. Oversee the entire Software Development Life Cycle (SDLC) from requirements gathering to testing and deployment, ensuring seamless integration and execution. Required qualifications, capabilities, and skills Bachelor s degree with 8+ years of experience in Project Management or Product Ownership, with a focus on process re-engineering. Proven experience as a Product Owner with a strong understanding of agile principles and delivering complex programs. Strong analytical and problem-solving abilities, with the capacity to quickly assimilate business and technical knowledge. Experience in Finance, Risk, or Operations as a Product Lead. Familiarity with Traditional Credit Products and Liquidity and Credit reporting data. Highly responsible, detail-oriented, and able to work with tight deadlines. Excellent written and verbal communication skills, with the ability to articulate complex concepts to diverse audiences. Strong organizational abilities to manage multiple work streams concurrently, maintaining sound judgment and a risk mindset. Solid understanding of financial and regulatory reporting processes. Energetic, adaptable, self-motivated, and effective under pressure. Basic knowledge of cloud technologies (e. g. , AWS). Preferred qualifications, capabilities, and skills Knowledge of JIRA, SQL, Microsoft suite of applications, Databricks and data visualization/analytical tools (Tableau, Alteryx, Python) is a plus. Knowledge and experience of Traditional Credit Products (Loans, Deposits, Cash etc. , ) and Trading Products (Derivatives and Securities) a plus. You are a strategic thinker passionate about driving solutions in business architecture and data management. You have found the right team. As a Banking Book Product Owner Sr. Associate in our Firmwide Finance Business Architecture (FFBA) team, you will spend each day defining, refining, and delivering set goals for our firm. You will partner with stakeholders across various lines of business and subject matter experts to understand products, data, source system flows, and business requirements related to Finance and Risk applications and infrastructure. As a Product Owner on the Business Architecture team, you will work closely with Line of Business stakeholders, data Subject Matter Experts, Consumers, and technology teams across Finance, Credit Risk & Treasury, and various Program Management teams. Your primary responsibilities will include prioritizing the traditional credit product book of work, developing roadmaps, and delivering on multiple projects and programs during monthly releases. Your expertise in data analysis and knowledge will be instrumental in identifying trends, optimizing processes, and driving business growth. As our organization grows, so does our reliance on insightful, data-driven decisions. You will dissect complex datasets to unearth actionable insights while possessing a strong understanding of data governance, data quality, and data management principles. Job Responsibilities Utilize Agile Framework to write business requirements in the form of user stories to enhance data, test execution, reporting automation, and digital analytics toolsets. Engage with development teams to translate business needs into technical specifications, ensuring acceptance criteria are met. Drive adherence to product and Release Management standards and operating models. Manage the release plan, including scope, milestones, sourcing requirements, test strategy, execution, and stakeholder activities. Collaborate with lines of business to understand products, data capture methods, and strategic data sourcing into a cloud-based big data architecture. Identify and implement solutions for business process improvements, creating supporting documentation and enhancing end-user experience. Collaborate with Implementation leads, Release managers, Project managers, and data SMEs to align data and system flows with Finance and Risk applications. Oversee the entire Software Development Life Cycle (SDLC) from requirements gathering to testing and deployment, ensuring seamless integration and execution. Required qualifications, capabilities, and skills Bachelor s degree with 8+ years of experience in Project Management or Product Ownership, with a focus on process re-engineering. Proven experience as a Product Owner with a strong understanding of agile principles and delivering complex programs. Strong analytical and problem-solving abilities, with the capacity to quickly assimilate business and technical knowledge. Experience in Finance, Risk, or Operations as a Product Lead. Familiarity with Traditional Credit Products and Liquidity and Credit reporting data. Highly responsible, detail-oriented, and able to work with tight deadlines. Excellent written and verbal communication skills, with the ability to articulate complex concepts to diverse audiences. Strong organizational abilities to manage multiple work streams concurrently, maintaining sound judgment and a risk mindset. Solid understanding of financial and regulatory reporting processes. Energetic, adaptable, self-motivated, and effective under pressure. Basic knowledge of cloud technologies (e. g. , AWS). Preferred qualifications, capabilities, and skills Knowledge of JIRA, SQL, Microsoft suite of applications, Databricks and data visualization/analytical tools (Tableau, Alteryx, Python) is a plus. Knowledge and experience of Traditional Credit Products (Loans, Deposits, Cash etc. , ) and Trading Products (Derivatives and Securities) a plus.

About The Role Skill required: Data Management - PySpark Designation: Data Eng, Mgmt & Governance Assoc Mgr Qualifications: BE/BTech Years of Experience: 10 to 14 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Visit us at www.accenture.com.Understand Pyspark interface and integration in handling complexities of multiprocessing, such as distributing the data, distributing code and collecting output from the workers on a cluster of machines. What are we looking for PySpark AWS Architecture Adaptable and flexible Strong analytical skills Prioritization of workload Ability to manage multiple stakeholders Problem-solving skills Roles and Responsibilities: In this role you are required to do analysis and solving of moderately complex problems Typically creates new solutions, leveraging and, where needed, adapting existing methods and procedures The person requires understanding of the strategic direction set by senior management as it relates to team goals Primary upward interaction is with direct supervisor or team leads Generally, interacts with peers and/or management levels at a client and/or within Accenture The person should require minimal guidance when determining methods and procedures on new assignments Decisions often impact the team in which they reside and occasionally impact other teams Individual would manage medium-small sized teams and/or work efforts (if in an individual contributor role) at a client or within Accenture Qualification BE,BTech

Career Category Supply Chain Job Description Join Amgen s Mission of Serving Patients At Amgen, if you feel like you re part of something bigger, it s because you are. Our shared mission to serve patients living with serious illnesses drives all that we do. Since 1980, we ve helped pioneer the world of biotech in our fight against the world s toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives. Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career. Master Data Associate - Material & Production What you will do Let s do this. Let s change the world. Role Description: The Master Data Associate - Material & Production at Amgen will support the accuracy and consistency of master data across the organization. This role will perform data validation, entry, cleansing, and enrichment while collaborating with teams to resolve issues and ensure data integrity. The associate will support key performance monitoring, data governance, and compliance efforts, as well as assist in data migration and integration projects. Candidates should have a basic understanding of enterprise applications like SAP or Oracle, familiarity with data quality and compliance standards, and strong analytical skills. Roles & Responsibilities: Perform data operations tasks, mainly maintenance, and validation, to ensure the accuracy and integrity of master data Support process optimization initiatives to improve data management workflows and enhance efficiency Learn and support data analysis to identify trends, discrepancies, and opportunities for improvement Provide support to partners, customers, and end-users on master data processes, tools, and standard methodologies. Maintain data quality reports to monitor performance metrics and ensure data compliance. Collaborate multi-functionally with business, IT, and operations teams to resolve data-related issues and ensure alignment with organizational goals. What we expect of you We are all different, yet we all use our unique contributions to serve patients. Basic Qualifications and Experience: Bachelor s degree in a STEM discipline and 1-3 years of experience in SAP ECC, master data management, data governance, or data operations, preferably in the healthcare or biotech supply chains Technical Proficiency : Experience in SAP/Oracle, Microsoft Office (Excel, PowerPoint), and other data management tools (e. g. , MDG, Informatica). Analytical Skills : Ability to analyze large datasets and deliver actionable insights. Intellectual Curiosity : Driven to learn by asking questions, proactively learning the business, and developing new skills. Attention to Detail : High accuracy and attention to detail, with a solid focus on data quality. Communication : Excellent written and verbal communication skills, with the ability to communicate findings to both technical and non-technical partners. Functional Skills: Must-Have Skills: Working knowledge of SAP/Oracle Understanding of general master data management processes, frameworks, and governance. Proficiency in Excel and MS Office Suite, with experience in data analysis Basic understanding of data governance frameworks and ensuring data accuracy and quality. Good communication skills for presenting data insights to both technical and non-technical audiences. Good-to-Have Skills: SAP S/4, SAP MDG, SAP TM What you can expect of us As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we ll support your journey every step of the way. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now and make a lasting impact with the Amgen team. careers. amgen. com As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease. Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. .

As a Sr Advanced Data Analyst, you will play a crucial role in providing expertise in driving data-driven insights and analytics to optimize operational efficiency and improve decision-making within the organization. You will work with cross-functional teams and guide them to address business demand and develop thoughtful solutions. Your ability to translate complex data into actionable insights will be key in ensuring data integrity and accuracy at Advanced Materials. In this role, you will impact the organization by leveraging your advanced data analysis skills to provide valuable insights and recommendations that drive business growth and improve operational efficiency. KEY RESPONSIBILITIES Analyze large volumes of data and provide insights to optimize operational efficiency Develop and implement data analytics strategies to drive continuous improvement Work with cross-functional teams to address business demand and develop thoughtful solutions Translate complex data into actionable insights to facilitate decision-making Ensure data integrity and accuracy through data analysis and validation. YOU MUST HAVE 6+ years of experience in data analytics Strong analytical and problem-solving skills Proficiency in data analytics tools and programming languages (e. g. , Python, R, SQL, etc. ) Excellent communication and people-oriented skills. WE VALUE Bachelors degree in a relevant field (e. g. , Data Science, Analytics, Engineering, etc. ) Strong leadership skills and the ability to effectively influence and coach others Proven track record of driving data-driven decision-making and delivering measurable business results Experience in advanced data analysis techniques (e. g. , machine learning, predictive modeling, etc. ) Experience with data governance and data quality initiatives YOU MUST HAVE 6+ years of experience in data analytics Strong analytical and problem-solving skills Proficiency in data analytics tools and programming languages (e. g. , Python, R, SQL, etc. ) Excellent communication and people-oriented skills. WE VALUE Bachelors degree in a relevant field (e. g. , Data Science, Analytics, Engineering, etc. ) Strong leadership skills and the ability to effectively influence and coach others Proven track record of driving data-driven decision-making and delivering measurable business results Experience in advanced data analysis techniques (e. g. , machine learning, predictive modeling, etc. ) Experience with data governance and data quality initiatives

As a Sr Advanced Data Analyst, you will play a crucial role in providing expertise in delivering data-driven insights and analytics to optimize operational efficiency and improve decision-making within the organization. You will work with cross-functional teams and guide them to address business demand and develop thoughtful solutions. Your ability to translate complex data into actionable insights will be key in ensuring data integrity and accuracy at Advanced Materials. You will report directly to our Director GenAI, Data, Analytics and youll work out of our Bangalore location on a hybrid work schedule. In this role, you will impact the organization by leveraging your advanced data analysis skills to provide valuable insights and recommendations that drive business growth and improve operational efficiency. KEY RESPONSIBILITIES Develop and implement data analytics strategies to drive continuous improvement Generate a data driven culture, providing users with easy ways to access and consume data enabling business users to understand our team s capabilities to enhance collaboration Collaborate with stakeholders to assess current capabilities and needs to identify areas of opportunity, proposing analytics solutions that align with core strategy and operation. Ensure data integrity and accuracy through data analysis and validation. Translate complex data into actionable insights to facilitate decision-making Utilize analytical and technical skills to translate and analyze business needs into requirements, leading the design and implementation of complex analytics and governance solutions. Design, develop, and deploy information products, supporting visualization and data accessibility in a user-friendly, customer centric manner. Design and support data models optimized to support analytical tools such as Tableau, and PowerBI and create BI reports. Perform complex data analysis and generate insights from various data sources to support decision-making. Train users in extracting, interpreting, and applying insights from information products. Contribute to the development and execution of the organizations data strategy. YOU MUST HAVE 6+ years of relevant experience in Data Visualization (PowerBI as main BI tool, Tableau, Looker, Qlik, are nice to have), Data analysis or related technical activities. Basic data normalization and data modeling techniques Prototyping abilities in Excel, PPT, or any other tool to gather and align requirements. User experience mindset, driving the design of visualizations and infographics to distill complex information. Intermediate to Advanced Power BI DAX experience Expert in scripting and querying languages such as Python, SQL, and others for data consumption, manipulation and advanced analytics Proficiency in creating visualizations using Python or similar languages. Understanding of Descriptive Statistics and proficiency in hypothesis testing. Understanding of master and transactional data in SAP, SFDC (SalesForce) and associated IT technologies. Experience in data warehouse tools such as Snowflake, Databricks or equivalent. Knowledge of Agile development methodology Excellent communication skills (verbal, written, and presentation). Passion for data and its potential to drive business impact. Work independently and free from direct oversight. WE VALUE Bachelors degree in a relevant field (e. g. , Data Science, Analytics, Engineering, etc. ) Strong leadership skills and the ability to effectively influence and coach others Proven track record of driving data-driven decision-making and delivering measurable business results Experience in advanced data analysis techniques (e. g. , machine learning, predictive modeling, etc. ) Experience with data governance and data quality initiatives Excellent communication, presentation, problem solving, and interpersonal communication skills. PL/SQL, T/SQL, NoSQL programming, and database objects. Understanding of different analytics trends like predictive models and AI/ML. Highly proficient in Microsoft Excel. As an extra, Microsoft Word and PowerPoint Strong business acumen with a data-mining mindset. Experience with large-scale data analytics and governance initiatives. Ability to collaborate and influence across different levels. Excellent communication skills combined with the ability to navigate a highly matrixed organization. Critical thinking and understanding of business processes, technology, systems, and tools. Demonstrated initiative and resourcefulness; a self-starter able to work independently. Demonstrated record of on-time and on-budget project and/or program management execution. Proactive, detail-oriented, with high regard for quality and consistency of communication, and able to present concise plans and ideas to executive level in a diverse work environment. YOU MUST HAVE 6+ years of relevant experience in Data Visualization (PowerBI as main BI tool, Tableau, Looker, Qlik, are nice to have), Data analysis or related technical activities. Basic data normalization and data modeling techniques Prototyping abilities in Excel, PPT, or any other tool to gather and align requirements. User experience mindset, driving the design of visualizations and infographics to distill complex information. Intermediate to Advanced Power BI DAX experience Expert in scripting and querying languages such as Python, SQL, and others for data consumption, manipulation and advanced analytics Proficiency in creating visualizations using Python or similar languages. Understanding of Descriptive Statistics and proficiency in hypothesis testing. Understanding of master and transactional data in SAP, SFDC (SalesForce) and associated IT technologies. Experience in data warehouse tools such as Snowflake, Databricks or equivalent. Knowledge of Agile development methodology Excellent communication skills (verbal, written, and presentation). Passion for data and its potential to drive business impact. Work independently and free from direct oversight. WE VALUE Bachelors degree in a relevant field (e. g. , Data Science, Analytics, Engineering, etc. ) Strong leadership skills and the ability to effectively influence and coach others Proven track record of driving data-driven decision-making and delivering measurable business results Experience in advanced data analysis techniques (e. g. , machine learning, predictive modeling, etc. ) Experience with data governance and data quality initiatives Excellent communication, presentation, problem solving, and interpersonal communication skills. PL/SQL, T/SQL, NoSQL programming, and database objects. Understanding of different analytics trends like predictive models and AI/ML. Highly proficient in Microsoft Excel. As an extra, Microsoft Word and PowerPoint Strong business acumen with a data-mining mindset. Experience with large-scale data analytics and governance initiatives. Ability to collaborate and influence across different levels. Excellent communication skills combined with the ability to navigate a highly matrixed organization. Critical thinking and understanding of business processes, technology, systems, and tools. Demonstrated initiative and resourcefulness; a self-starter able to work independently. Demonstrated record of on-time and on-budget project and/or program management execution. Proactive, detail-oriented, with high regard for quality and consistency of communication, and able to present concise plans and ideas to executive level in a diverse work environment.

About The Role Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Python (Programming Language) Good to have skills : Java Standard Edition, Microsoft Power Business Intelligence (BI)Minimum 3 year(s) of experience is required Educational Qualification : 15 yrs of Education Summary :As an Application Developer, you will design, build, and configure applications to meet business process and application requirements. You will be responsible for creating efficient and scalable software solutions that contribute to the success of our organization. Your typical day will involve collaborating with cross-functional teams, analyzing user requirements, and developing high-quality code to deliver innovative applications. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work-related problems.- Collaborate with cross-functional teams to gather and analyze user requirements.- Design, develop, and test software applications using Python programming language.- Create efficient and scalable code to meet business process and application requirements.- Troubleshoot and debug applications to ensure optimal performance and functionality.- Participate in code reviews to maintain code quality and ensure adherence to coding standards.- Stay updated with the latest industry trends and technologies to continuously improve application development practices. Professional & Technical Skills: - Must To Have Skills: Proficiency in Python (Programming Language).- Good To Have Skills: Experience with Java Standard Edition, Microsoft Power BI.- Strong understanding of statistical analysis and machine learning algorithms.- Experience with data visualization tools such as Tableau or Power BI.- Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms.- Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information:- The candidate should have a minimum of 3 years of experience in Python (Programming Language).- This position is based at our Mumbai office.- A 15 yrs of Education is required. Qualification 15 yrs of Education

About The Role Skill required: Delivery - Sales Reporting Designation: I&F Decision Sci Practitioner Senior Mgr Qualifications: Any Graduation Years of Experience: 16 to 25 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do Within Operations, our Sales Operations Transformation team is rapidly expanding. We take a bold and modern approach to sales excellencecombining deep operational expertise, cutting-edge technology, and data-driven insights to optimize sales performance and empower go-to-market teams to succeed.As the Team Lead, and a key member of the Sales Operations Transformation - Sales Data, Reporting & Insights, you will head a cross-functional team of Data Scientists and Visualization experts working within the Sales Operations transformation space. The ideal candidate brings a strong background in advanced analytics, business intelligence, and sales domain knowledge, along with a proven track record in project delivery, stakeholder management, and team leadership. What are we looking for Sales Data Reporting & Insights Sales Analytics & Insights Sales Functional Expertise:Deep understanding of end-to-end sales lifecycle processes including Sales Support, Pricing & Quoting, Bid & Proposal Management, Contract Lifecycle, Order Management, and Incentives. Analytical & Data-Driven Mindset:Strong skills in data analysis, business intelligence, and visualization using tools like Power BI, Tableau, or equivalent. Ability to generate actionable insights and drive decision-making. Stakeholder Management Consulting & Communication Skills Leadership & Team Development Innovative & Future-Focused Roles and Responsibilities: Lead the end-to-end delivery of AI, analytics, and visualization solutions across sales operations workstreams. Align team objectives with Sales Excellence and Sales Transformation strategy Drive solution design, data strategy, and execution across data science and BI tracks. Oversee solution scalability, reusability, and integration into business processes. Manage, mentor, and grow a high-performing team including L8/L9 Data Scientists and Power BI developers. Provide technical and functional guidance to team members. Conduct regular performance reviews, skill development sessions, and team health checks. Oversee capacity planning and work allocation. Collaborate with senior business leaders, sales stakeholders, and global teams to define problem statements, KPIs, and success metrics. Serve as the client-facing SME for all analytics and visualization needs in the sales domain. Ensure strong communication of findings, models, and visualizations through effective storytelling. Ensure high-quality delivery of data science models (predictive, diagnostic, prescriptive) and dashboards. Review and validate model outcomes, dashboards, and visual designs. Encourage adoption of best practices in code management, versioning, and model documentation. Ensure data quality, governance, and secure access across platforms. Qualification Any Graduation