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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Management Business Analyst - Onsite - **Company:** Genesis10 - **Location:** Brooklyn, OH, United States - **Experience:** Expert - **Salary:** $124,800.0 - $135,200.0 - **Contract:** Temporary contract - **Skills:** Data Analysis, Confluence, JIRA, BigQuery, Information Systems, Data Architecture, Data Validation, Data Governance, Data Integration, Extract Transform Load (ETL), Data Profiling, Data Warehousing, Relational Databases, Meta-Data Management, Data Streaming, Systems Integration, Google Cloud, Sql Optimization, Ab Initio, Information Technology, Data Lineage, Data Management - **Published:** August 5, 2026 - **Apply:** https://www.dice.com/job-detail/3745ecc7-a092-486c-a8a9-d0c2fa3af8b5 ## About the Role * Bachelor's degree in business, Information Systems, Computer Science, Analytics, Data Management, Finance, or a related discipline * 8 years of experience in Business Analysis, Data Analysis, Data Management, Data Integration, Data Governance, or Data Warehousing * Demonstrated experience supporting enterprise-scale data, analytics, or modernization initiatives * Experience creating source-to-target mappings, transformation specifications, and data flow documentation * Experience performing data lineage analysis, impact assessments, data profiling, and data validation activities * Experience working directly with business stakeholders and technical delivery teams * Advanced SQL and data analysis capabilities * Strong understanding of relational databases, enterprise data architecture, and data warehousing concepts * Experience with Jira and Confluence * Strong analytical, communication, facilitation, and documentation skills Desired skills: * 10+ years of relevant experience * Financial Services or Banking industry experience * Working knowledge of Critical Data Elements (CDEs), Data Ownership, Data Stewardship, Data Lineage, and Metadata Management * Experience utilizing Alation Data Catalog * Experience reviewing and documenting Ab Initio data flows * Experience with Google Cloud Platform (Google Cloud Platform) and BigQuery * Agile delivery experience ## Description This role serves as a critical liaison between Business Stakeholders, Data Engineers, Data Modelers, Data Architects, Product Owners, Governance teams, and delivery partners. The successful candidate will transform business needs into actionable data requirements, perform analysis across complex enterprise data environments, document current and future-state data flows, and support the successful delivery of enterprise data initiatives., * Partner with business stakeholders to understand strategic objectives, business challenges, regulatory requirements, and information needs * Elicit, analyze, document, and validate enterprise data requirements, including data sourcing needs, business rules, Critical Data Elements (CDEs), and data quality expectations * Translate business needs into actionable data specifications, source-to-target mappings, and transformation logic * Perform analysis across multiple source systems, data platforms, and applications * Conduct data profiling, impact analysis, root-cause analysis, and validation activities * Analyze and document end-to-end Data Supply Chain processes, integrations, and data movement patterns * Create and maintain detailed source-to-target mapping documentation * Collaborate with Data Engineers, Data Modelers, and Data Architects on solution design and implementation * Support enterprise Data Governance, Data Management, and Data Quality initiatives * Operate independently with minimal supervision across multiple concurrent initiatives ## Related Videos - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Improving quality with Agentic AI with Rovo Dev and Xray](https://www.wearedevelopers.com/videos/2005-improving-quality-with-agentic-ai-with-rovo-dev-and-xray) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Making Data Warehouses fast. 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