Mid / Senior Data Analyst - Data Transformation Program
Job Description
Job Description
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RequirementsJob Title: Mid / Senior Data Analyst – Data Transformation ProgramLocation: McLean, VA
Experience: 5+ Years
Employment Type: 1099 / C2H / W2
Job Overview:
We are seeking a highly skilled and detail-oriented Mid to Senior Data Analyst to join our Data Transformation Program based in McLean, VA. This individual will play a critical role in understanding, analyzing, and transforming large-scale datasets to support a major enterprise-wide data migration and governance initiative. The role demands a blend of technical acumen, business insight, and documentation expertise to ensure that all transformation logic and data lineage are clearly articulated and aligned with organizational standards.
Key Responsibilities:
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Perform comprehensive data profiling on both source and target systems to evaluate structure, quality, completeness, and readiness for migration.
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Analyze and decode complex ETL workflows, with a strong focus on IBM DataStage, to extract, reverse-engineer, and document business and transformation rules.
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Design and maintain detailed source-to-target (S2T) mapping specifications, including transformation logic, conditional filters, field derivations, and join strategies.
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Engage proactively with business stakeholders, data engineers, solution architects, and data governance teams to gather, interpret, and validate data requirements and trace end-to-end lineage.
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Accurately document metadata, business term definitions, and mapping logic in Collibra, ensuring consistent alignment with enterprise data standards and policies.
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Support testing, data validation, and reconciliation by comparing transformed data against expected outcomes and investigating discrepancies via lineage tracing.
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Lead efforts to enforce documentation and metadata standards, improve data quality practices, and mentor junior analysts on best practices in data management and analytics.
Required Experience and Skills:
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5+ years of experience in a Data Analyst or Technical Business Analyst role, with a core focus on data transformation, ETL analysis, or data migration projects.
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Strong command of SQL for querying, profiling, and validating large volumes of structured data.
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Deep expertise in ETL toolsets, especially IBM DataStage, with the ability to analyze and translate intricate transformation workflows into business-understandable rules.
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Proven ability to create robust source-to-target mappings, transformation rules, and data documentation.
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Hands-on experience using Collibra for metadata management, business glossary development, and data lineage capture.
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Exceptional analytical thinking, problem-solving, communication, and documentation skills.
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Self-starter who can work independently and lead cross-functional discussions on data-related topics.
Preferred Qualifications:
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Working knowledge of modern data platforms such as Snowflake, NoSQL databases, and GraphQL-based APIs.
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Understanding of data governance frameworks, enterprise data models, and compliance-oriented environments.
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Background in financial services, insurance, or regulatory reporting environments is highly desirable.
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Experience working with JSON, XML, or other API-based data exchange formats.
Reporting Structure:
Reports directly to the Data Lead or Program Manager of the Data Transformation Program.
Benefits
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