662 Data Mapping Jobs - Page 27

The Product Data & Analytics team builds internal analytic partnerships, strengthening focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies. We are a hands-on global team providing scalable end-to-end data solutions. Working closely with the business, we influence decisions across Mastercard through data driven insights. We are a team on analytics engineers, data architects, BI developers, data analysts and data scientists, and fully manage our own data assets and solutions. Are you excited about Data Assets and the value they bring to an organization Are you an evangelist for data driven decision making Are you motivated to be part of a Global Analytics team that builds large scale Analytical Capabilities supporting end users across 6 continents Are you interested in proactively looking to improve data driven decisions for a global corporation The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our company. Role and responsibilities The Analyst will be part of a strategic initiative to create a SSOT data platform for all transactional data assets within the organization. He/She will work alongside a team of analytics engineers, data analysts, data engineers to evaluate the current use cases across the organization, define the data platform design including the logical/conceptual data model, data mappings, and other platform documentation, collaborate with the data architects, data engineers to ensure platform build and will be responsible for the UAT before implementation. Collaborate with team members to collect business requirements, define successful analytics outcomes, and design data models. Serve as the Directly Responsible Individual for major sections of the platform logical/conceptual data model. Define data mappings, data dictionaries, data quality and UAT documentation. Maintain the Data Catalog, a scalable resource to support Self-Service and Single-source-of-truth analytics. Translate business requirements into tangible technical solution specifications and high quality, on time deliverables. Effectively use tools to manipulate large-scale databases, synthesizing data insights. Apply quality control, data validation, and cleansing processes to new and existing data sources. Implement the DataOps philosophy in everything you do. Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale database environment. Maintain and advocate for these standards through code review. Collaborate with cross-functional teams, external vendors teams and technology suppliers to ensure delivery of high-quality services. All about you 4+ years experience in data analysis, data mining, data analytics, data reporting and data product development. Financial Institution or a Payments experience a plus. Proactive self-starter seeking initiatives to advance. Understanding of Data architecture and some experience in building logical/conceptual data models or creating data mapping documentation. Experience with data validation, quality control and cleansing processes to new and existing data sources. Advanced SQL skills, ability to write optimized queries for large data sets. Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack, SQL Server, Microsoft BI Stack, Cloud. Exposure to Python, Scala, Spark, Cloud and other related technologies a plus. Experience with data visualization tools such as Tableau, Domo, and/or PowerBI is a plus. Excellent problem solving, quantitative and analytical skills. In depth technical knowledge, drive and ability to learn new technologies. Strong attention to detail and quality. Team player, excellent communication skills. Must be able to interact with management, internal stakeholders and collect requirements. Must be able to perform in a team, use judgment and operate under ambiguity.

The Product Data & Analytics team builds internal analytic partnerships, strengthening focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, new product development and Go-To Market strategies. We are a hands-on global team providing scalable end-to-end data solutions. Working closely with the business, we influence decisions across Mastercard through data driven insights. We are a team on analytics engineers, data architects, BI developers, data analysts and data scientists, and fully manage our own data assets and solutions. Are you excited about Data Assets and the value they bring to an organization Are you an evangelist for data driven decision making Are you motivated to be part of a Global Analytics team that builds large scale Analytical Capabilities supporting end users across 6 continents Are you interested in proactively looking to improve data driven decisions for a global corporation The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our company. Role and responsibilities The Associate Analyst will be part of a strategic initiative to create a SSOT data platform for all transactional data assets within the organization. He/She will work alongside a team of analytics engineers, data analysts, data engineers to evaluate the current use cases across the organization, define the data platform design including the logical/conceptual data model, data mappings, and other platform documentation, collaborate with the data architects, data engineers to ensure platform build and will be responsible for the UAT before implementation. Collaborate with team members to collect business requirements, define successful analytics outcomes, and design data models. Serve as the Directly Responsible Individual for major sections of the platform logical/conceptual data model. Define data mappings, data dictionaries, data quality and UAT documentation. Maintain the Data Catalog, a scalable resource to support Self-Service and Single-source-of-truth analytics. Translate business requirements into tangible technical solution specifications and high quality, on time deliverables. Effectively use tools to manipulate large-scale databases, synthesizing data insights. Apply quality control, data validation, and cleansing processes to new and existing data sources. Implement the DataOps philosophy in everything you do. Craft code that meets our internal standards for style, maintainability, and best practices for a high-scale database environment. Maintain and advocate for these standards through code review. Collaborate with cross-functional teams, external vendors teams and technology suppliers to ensure delivery of high-quality services. All about you 2+ years experience in data analysis, data mining, data analytics, data reporting and data product development. Financial Institution or a Payments experience a plus. Proactive self-starter seeking initiatives to advance. Understanding of Data architecture and some experience in building logical/conceptual data models or creating data mapping documentation. Experience with data validation, quality control and cleansing processes to new and existing data sources. Advanced SQL skills, ability to write optimized queries for large data sets. Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack, SQL Server, Microsoft BI Stack, Cloud. Exposure to Python, Scala, Spark, Cloud and other related technologies a plus. Experience with data visualization tools such as Tableau, Domo, and/or PowerBI is a plus. Excellent problem solving, quantitative and analytical skills. In depth technical knowledge, drive and ability to learn new technologies. Strong attention to detail and quality. Team player, excellent communication skills. Must be able to interact with management, internal stakeholders and collect requirements. Must be able to perform in a team, use judgment and operate under ambiguity.

Minimum 6+ years of experience. Excellent knowledge in API testing (SoapUI/Postman/Swagger) and service analysis Excellent knowledge in SQL testing - Should be able to write simple to complex queries. Good knowledge on Functional testing - Agile, JIRA. Automation knowledge in any tool like Selenium/Cypress/Playwright will be an added advantage. UI testing and analysis UI and API data mapping Data mapping (which data elements align to existing UI data elements) Analysis of the service documentation when discrepancies arise and help the developers. Good knowledge on Test Case Creation and Test Data Creation Use case testing (end to end testing when UI completes new service integration) Defect Reporting in JIRA

A Day in the Life The Enterprise Architecture & Data Platforms value-stream (EADP) is accountable for enterprise data assets across the company including data & analytics platforms, data & analytics solutions governance, quality, recency, data interfaces, integration with external systems and advanced analytics capabilities. We are seeking a seasoned and highly skilled MDM Solution Architect with expertise in Master Data Management (MDM). Responsibilities may include the following and other duties may be assigned. MDM architect provides technical and administration leadership and support for Master Data Management (MDM). Confirmation and Identification of Non-Functional Requirements; Review Data Mapping impacts from technical point of view. Review Deliverables and oversee macro and micro Design components; Analyze and define detailed MDM processes, tasks, data flows, and dependencies. Work with EA (Enterprise Architecture) team on standards, product roadmap, and architecture decisions based on the enterprise blueprint Own and aggressively drive forward MDM, Data Governance. Required Knowledge and Experience: 7+ years of IT experience with a Bachelors Degree in Engineering, MCA, or MSc. Minimum 5 years of relevant experience in Master Data Management (MDM). Excellent communication skills and stakeholder management abilities, including the ability to present technical concepts to non-technical audiences. Ability to lead the development, deployment, and technical quality of large enterprise or global solutions that span multiple technologies and disciplines. Participate in integration design activities working with Solution Architects, Technical Leads, and peer Team Members. Understanding on integration technologies, middleware platforms, integration design patterns, messaging frameworks, and API management, ETL tools, data transformation techniques and ESB frameworks. Ability to understand the customers business problem, need, or opportunity and to design a solution that completely and correctly addresses the business problem, need, or opportunity without unnecessary enhancements. Experience working with Real Time & Near Real Time integrations, including Message Oriented based message handling techniques. Experience with Cloud technology AWS EC2 instances and understanding of IaaS, PaaS and SaaS platform/Applications. Experience /Knowledge in designing CI/CD solutions (Git/Jenkins). Demonstrated experience with enterprise database technologies like Oracle, MySQL, Snowflake, DB2 and MS SQL Server. This position is eligible for a short-term incentive called the Medtronic Incentive Plan (MIP). About Medtronic We lead global healthcare technology and boldly attack the most challenging health problems facing humanity by searching out and finding solutions. Our Mission to alleviate pain, restore health, and extend life unites a global team of 95,000+ passionate people. We are engineers at heart putting ambitious ideas to work to generate real solutions for real people. From the R&D lab, to the factory floor, to the conference room, every one of us experiments, creates, builds, improves and solves. We have the talent, diverse perspectives, and guts to engineer the extraordinary. Learn more about our business, mission, and our commitment to diversity here

Key Responsibilities: Lead the design, configuration, and implementation of the Procure-to-Pay (P2P) process across SAP modules including MM, FI, and CFIN . Work closely with business users and procurement teams to understand procurement and accounts payable requirements in the Central Finance context. Ensure accurate replication of vendor invoices, purchase orders, goods receipts , and payments from source ERP systems to SAP Central Finance using SLT , AIF , and MDG . Perform data mapping and transformation activities for finance and logistics data relevant to the P2P process. Collaborate with cross-functional teams (MM, FI, CO, Ariba) to ensure alignment of the end-to-end procurement and finance data flow. Troubleshoot and resolve issues related to document replication, invoice posting, payment processing, and vendor master data governance. Support testing cycles (unit testing, SIT, UAT) and cutover activities for Central Finance projects. Develop functional specifications for enhancements and collaborate with technical teams for implementation. Conduct user training, documentation, and post-go-live support activities.

Req ID: 322965 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 Sr BODS Developer to join our team in Hyderabad, Telangana (IN-TG), India (IN). Understand and execute data migration blueprints (migration concepts, transformation rules, mappings, selection criteria) Understand and contribute to the documentation of the data mapping specifications, conversion rules, technical design specifications as required Build the conversion processes and associated programs that will migrate the data per the design and conversion rules that have been signed-off by the client Execution of all data migration technical steps (extract, transform & load) as well as Defect Management and Issue Resolution Perform data load activities for each mock load, cutover simulation and production deployment identified in L1 plan into environments identified Provide technical support, defect management, and issue resolution during all testing cycles, including Mock Data Load cycles Complete all necessary data migration documentation necessary to support system validation / compliance requirements Support the development of unit and end-to-end data migration test plans and test scripts (including testing for data extraction, transformation, data loading, and data validation) Job Requirements 6-8 Yrs. of overall technical experience in SAP BODS with all the SAP BODS application modules (Extract, Transform, Load) 5+ Yrs. of experience with Data Migration experience with S/4 HANA/ECC Implementations Experience in BODS Designer Components- Projects, Jobs, Workflow, Data Flow, Scripts, Data Stores and Formats Experience in BODS performance tuning techniques using parallel processing (Degree of Parallelism), Multithreading, Partitioning, and Database Throughputs to improve job performance Extensive experience in ETL using SAP BODS and SAP IS with respect to SAP Master / Transaction Data Objects in SAP FICO, SAP SD, SAP MM/WM, SAP Plant Maintenance, SAP Quality Management etc. is desirable Experience with Data Migration using LSMW, IDOCS, LTMC 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 atus.nttdata.com NTT DATA endeavors to make https://us.nttdata.comaccessible 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. Job Segment SAP, ERP, Technical Support, Consulting, Database, Technology

Req ID: 322971 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 BODS Developer to join our team in Hyderabad, Telangana (IN-TG), India (IN). SAP BODS Developer Position Overview Understand and execute data migration blueprints (migration concepts, transformation rules, mappings, selection criteria) Understand and contribute to the documentation of the data mapping specifications, conversion rules, technical design specifications as required Build the conversion processes and associated programs that will migrate the data per the design and conversion rules that have been signed-off by the client Execution of all data migration technical steps (extract, transform & load) as well as Defect Management and Issue Resolution Perform data load activities for each mock load, cutover simulation and production deployment identified in L1 plan into environments identified Provide technical support, defect management, and issue resolution during all testing cycles, including Mock Data Load cycles Complete all necessary data migration documentation necessary to support system validation / compliance requirements Support the development of unit and end-to-end data migration test plans and test scripts (including testing for data extraction, transformation, data loading, and data validation) Job Requirements 4-6 Yrs. of overall technical experience in SAP BODS with all the SAP BODS application modules (Extract, Transform, Load) 2-4 Yrs. of experience with Data Migration experience with S/4 HANA/ECC Implementations Experience in BODS Designer Components- Projects, Jobs, Workflow, Data Flow, Scripts, Data Stores and Formats Experience in BODS performance tuning techniques using parallel processing (Degree of Parallelism), Multithreading, Partitioning, and Database Throughputs to improve job performance Experience in ETL using SAP BODS and SAP IS with respect to SAP Master / Transaction Data Objects in SAP FICO, SAP SD, SAP MM/WM, SAP Plant Maintenance, SAP Quality Management etc. is desirable Experience with Data Migration using LSMW, IDOCS, LTMC Ability to Debug LTMC errors is highly desirable 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 atus.nttdata.com NTT DATA endeavors to make https://us.nttdata.comaccessible 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. Job Segment SAP, Developer, Information Technology, Programmer, ERP, Technology

Understanding and experience with Master Data Management Applications Such as Semarchy , Markit EDM and data governance practices, data visualization platform like Microsoft Power BI, or Tableau a plus. Exp with agile scrum methodology. Required Candidate profile Review requirements with business stakeholder. Establish daily platform monitoring & reconciliation break resolution define governance framework. Translate requirements into actionable stories.

ABOUT AMGEN Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. ABOUT THE ROLE Role Description We are seeking an MDM Associate Analyst with 2 –5 years of development experience to support and enhance our enterprise MDM (Master Data Management) platforms using Informatica/Reltio. This role is critical in delivering high-quality master data solutions across the organization, utilizing modern tools like Databricks and AWS to drive insights and ensure data reliability. The ideal candidate will have strong SQL, data profiling, and experience working with cross-functional teams in a pharma environment. To succeed in this role, the candidate must have strong experience on MDM (Master Data Management) on configuration (L3 Configuration, Assets creati on, Data modeling etc ) , ETL and data mappings (CAI, CDI ) , data mastering (Match/Merge and Survivorship rules) , source and target integrations ( RestAPI , Batch integration, Integration with Databricks tables etc ) Roles & Responsibilities Analyze and manage customer master data using Reltio or Informatica MDM solutions. Perform advanced SQL queries and data analysis to validate and ensure master data integrity. Leverage Python, PySpark , and Databricks for scalable data processing and automation. Collaborate with business and data engineering teams for continuous improvement in MDM solutions. Implement data stewardship processes and workflows, including approval and DCR mechanisms. Utilize AWS cloud services for data storage and compute processes related to MDM. Contribute to metadata and data modeling activities. Track and manage data issues using tools such as JIRA and document processes in Confluence. Apply Life Sciences/Pharma industry context to ensure data standards and compliance. Basic Qualifications and Experience Master’s degree with 1 - 3 years of experience in Business, Engineering, IT or related field OR Bachelor’s degree with 2 - 5 years of experience in Business, Engineering, IT or related field OR Diploma with 6 - 8 years of experience in Business, Engineering, IT or related field Functional Skills: Must-Have Skills: Strong experience with Informatica or Reltio MDM platforms in building configurations from scratch (Like L3 configuration or Data modeling, Assets creations, Setting up API integrations, Orchestration) Strong experience in building data mappings, data profiling, creating and implementation business rules for data quality and data transformation Strong experience in implementing match and merge rules and survivorship of golden records Expertise in integrating master data records with downstream systems Very good understanding of DWH basics and good knowledge on data modeling Experience with IDQ, data modeling and approval workflow/DCR. Advanced SQL expertise and data wrangling. Exposure to Python and PySpark for data transformation workflows. Knowledge of MDM, data governance, stewardship, and profiling practices. Good-to-Have Skills: Familiarity with Databricks and AWS architecture. Background in Life Sciences/Pharma industries. Familiarity with project tools like JIRA and Confluence. Basics of data engineering concepts. Professional Certifications Any ETL certification ( e.g. Informatica) Any Data Analysis certification (SQL , Python, Databricks ) Any cloud certification (AWS or AZURE) Soft Skills: Strong analytical abilities to assess and improve master data processes and solutions. Excellent verbal and written communication skills, with the ability to convey complex data concepts clearly to technical and non-technical stakeholders. Effective problem-solving skills to address data-related issues and implement scalable solutions. Ability to work effectively with global, virtual teams EQUAL OPPORTUNITY STATEMENT Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with 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.

Role : Sr. Business Analyst - typically includes a combination of technical expertise, leadership skills, and strategic vision. Job Responsibilities: • Requirement Gathering and Analysis: Lead the process of eliciting, analyzing, validating, and documenting business requirements from stakeholders . • Project Management: Oversee the planning, scheduling, and execution of projects related to business analysis, ensuring timely delivery and adherence to quality standards. Data Analysis: Utilize data-driven insights to identify trends, opportunities, and issues that impact business performance and decision-making. • Stakeholder Management: Act as a primary point of contact between business units and technical teams, ensuring clear communication and alignment of objectives. • Process Improvement: Identify inefficiencies in business processes and recommend improvements to enhance operational efficiency and effectiveness. • Team Leadership: Mentor and guide junior analysts, providing coaching and development opportunities to foster their growth and enhance team performance. • Documentation and Reporting: Prepare detailed reports, presentations, and documentation outlining findings, recommendations, and project status updates. • Risk Management: Assess risks associated with business requirements and proposed solutions, developing mitigation strategies as necessary.

Analyze business workflows and translate them into data structures. Define data requirements, advise on integration and modeling, ensure metadata accuracy, and support delivery teams with reusable data assets and insights. Required Candidate profile Analyst with strong understanding of data models, business workflows, metadata management, and integration best practices. Work with cross-functional teams to align data with ops and strategic goals.

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 : Data Modeling Techniques and Methodologies Project Role Description : Assists with the data platform blueprint and design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have Skills : Data Modeling Techniques and Methodologies, SSI: NON SSI: Good to Have Skills :SSI: Data Engineering, Cloud Data Migration NON SSI : Job Requirements : Key Responsibilities : 1Drive discussions with clients deal teams to understand business requirements, how Industry Data Model fits in implementation and solutioning 2Develop the solution blueprint and scoping, estimation, staffing for delivery project and solutioning 3Drive Discovery activities and design workshops with client and lead strategic road mapping and operating model design discussions 4Good to have Data Vault,Cloud DB design,Graph data modeling, Ontology, Data Engineering,Data Lake design Technical Experience : 1 7plus year overall exp,3plus Data Modeling,Cloud DB Model,3NF,Dimensional,Conversion of RDBMS data model to Graph Data ModelInstrumental in DB design through all stages of Data Model 2 Exp on at least one Cloud DB Design work must be familiar with Data Architecture Principles Professional Attributes : 1Strong requirement analysis and technical solutioning skill in Data and Analytics 2Excellent writing, communication and presentation skills 3Eagerness to learn and develop self on an ongoing basis 4Excellent client facing and interpersonal skills