Senior Data Analyst – Mainframe & Reporting Modernization
Location: Remote (Texas Preferred)
This role supports large-scale technology modernization initiatives for legacy Mainframe and enterprise reporting systems within a regulatory environment. The position is highly data-centric, focusing on data modeling, data migration, source-to-target documentation, ETL validation, and database architecture modernization. The Senior Data Analyst will collaborate with cross-functional technical teams to ensure secure, normalized, and audit-ready data solutions aligned with business and compliance requirements.
Responsibilities
(Including but not limited to)
• Lead data analysis efforts supporting Mainframe Transformation and enterprise reporting modernization initiatives.
• Analyze legacy mainframe and relational data sources to document data flows, lineage, and transformation logic.
• Design, develop, and maintain normalized and secure data models, including ERDs and governed data standards (PII classification).
• Develop and document Source-to-Target (S2T) mappings and transformation specifications for ETL/ELT processes.
• Support database implementations across Oracle, Snowflake, SQL Server, and IMS environments.
• Collaborate with ETL teams (SSIS, ADF, Informatica) to validate loads, transformations, and reconciliation processes.
• Perform root cause analysis on data defects and production support issues related to system/data bridges.
• Define data quality controls, validation processes, and reconciliation procedures.
• Create comprehensive technical documentation, including interface documentation and data flow diagrams.
• Implement Change Data Capture (CDC) strategies for bulk data movement.
• Support controlled code promotion and version management using GitHub or equivalent tools.
• Provide status updates, risk identification, and progress reporting to project stakeholders and leadership.
• Support full SDLC lifecycle activities including requirements elicitation, UAT support, and implementation.
• Ensure database solutions conform to normalization standards, performance requirements, and security guidelines.
• Provide guidance to Business Intelligence and reporting teams (Power BI/SSRS).
• Work independently under limited supervision with strong initiative and technical judgment.
Required Qualifications
• 10+ years of Business Analysis experience focused on data modeling, data flows, and full SDLC documentation.
• 10+ years of experience producing project documentation including data models, ERDs, S2T specifications, traceability artifacts, and technical specifications.
• 10+ years facilitating stakeholder collaboration, requirements elicitation, and technical solution design.
• 10+ years working with ETL/ELT teams (SSIS, ADF, Informatica), including documenting transformations and validating data loads.
• 10+ years performing data validation, reconciliation, and root cause analysis for production data/system issues.
• 10+ years defining functional design and system specifications for large-scale IT projects.
• 10+ years of advanced SQL proficiency (SQL Server and/or Oracle) for profiling, validation, reconciliation, and relational modeling (normalization, indexing, keys).
• Strong expertise in ERD development and relational database design principles.
• Experience with Oracle, SQL Server, Snowflake, and/or Mainframe IMS hierarchical databases.
• Knowledge of Change Data Capture (CDC) processes and bulk data movement.
• Experience supporting UAT, implementation activities, and audit-ready reporting.
• Strong technical writing skills and proficiency with Visio, SharePoint, Confluence, Azure DevOps, and MS Office tools.
• Experience maintaining documentation in structured repositories and version control environments.
Preferred Qualifications
• Experience working within the Oil & Gas industry.
• Experience modernizing Mainframe systems and legacy reporting/tracking systems.
• Experience migrating data from mainframe environments to modern SaaS or COTS platforms.
• Familiarity with hierarchical databases (IMS) and legacy system limitations.
• Experience with Informatica, MuleSoft, COBOL, Java, Salesforce, Snowflake, or GoAnywhere.
• Experience implementing Data Warehouse solutions.
• Proven ability to lead process improvement initiatives and enforce governance standards.
• Experience in compliance, enforcement, or regulatory data environments.
• Bachelor’s Degree in Computer Science, Business Administration, or related discipline (or equivalent experience).