Senior Data Management Business Analyst - OH Local Only

Required Qualifications Education · Bachelor's degree in business, Information Systems, Computer Science, Analytics, Data Management, Finance, or a related discipline. · Equivalent combination of education and experience may be considered. Experience · 8+ years of experience in Business Analysis, Data Analysis, Data Management, Data Integration, Data Governance, Data Warehousing, or related disciplines. · Demonstrated experience supporting enterprise-scale data, analytics, integration, modernization, or regulatory initiatives. · Experience gathering, documenting, and validating enterprise data requirements across multiple business domains. · Experience creating source-to-target mappings, transformation specifications, business rule documentation, and data flow documentation. · Experience performing data lineage analysis, impact assessments, data profiling, and data validation activities. · Experience working directly with business stakeholders, Data Engineers, Data Modelers, Data Architects, and other technical delivery teams. · Strong SQL and analytical problem-solving skills. · Experience operating within large, complex enterprise environments. · Ability to lead discovery efforts and work independently with minimal supervision. Technical Skills · Advanced SQL and data analysis capabilities. · Strong understanding of relational databases, enterprise data architecture, and data warehousing concepts. · Experience documenting data sourcing requirements, transformation logic, business rules, and data quality controls. · Experience performing data profiling, impact assessments, lineage analysis, and validation activities. · Familiarity with metadata management and data governance concepts. · Experience with Jira and Confluence. · Strong analytical, communication, facilitation, and documentation skills. Preferred Qualifications · 10+ years of experience supporting enterprise data management, data governance, data integration, or analytics initiatives. · Financial Services or Banking industry experience. · Experience supporting Enterprise Data Governance, Data Quality, Data Risk, or Regulatory Data programs. · 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, integrations, and source-to-target mappings. · Experience with Google Cloud Platform (GCP) and BigQuery. · Experience supporting cloud migration, modernization, or enterprise data transformation initiatives. · Agile delivery experience. What Success Looks Like · Improve the quality and completeness of project intake requests. · Accelerate project planning through effective impact analysis and data requirements management. · Understand and document complex Data Supply Chain processes, integrations, and dependencies. · Analyze existing Ab Initio data flows and mapping documentation to support enhancement and modernization initiatives. · Develop implementation-ready source-to-target mappings and future-state data flow documentation. · Partner effectively with Business SMEs, Data Engineers, Data Modelers, Data Architects, Data Owners, and Governance teams. · Support Critical Data Element (CDE) identification, documentation, governance, stewardship, and certification activities. · Utilize Alation to improve metadata quality, lineage visibility, and documentation maturity. · Identify risks, dependencies, and data quality concerns early in the delivery lifecycle. · Enable informed decision-making through fact-based analysis and recommendations. · Improve the consistency, quality, and maintainability of EDAS documentation, data assets, and governance processes.