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Contractor - Digital

Job in Merrifield, Fairfax County, Virginia, 22116, USA
Listing for: TechWish
Contract position
Listed on 2026-08-31
Job specializations:
  • IT/Tech
    IT Business Analyst, Data Analyst, Business Systems & Technology Analysis, Business Intelligence
Job Description & How to Apply Below
Location: Merrifield

Data Analyst

This mid-level Data Analyst will lead the remediation of a large data governance backlog, with a primary focus on identifying priority tables and developing the governance artifacts needed to make those tables understandable, trusted, and reusable. The role will produce and coordinate artifacts such as data dictionaries, source-to-target mappings, critical data element documentation, lineage context, and related metadata documentation. The analyst will work with governance partners, data owners, internal analyst teams, and subject matter experts to accelerate backlog clean-up while preserving quality, traceability, and business usability.

The successful candidate will combine strong SQL and analytical skills with disciplined project management and clear stakeholder communication. They will help democratize clean and governed tables for broader enterprise use, enabling business units to confidently benefit from internally warehoused data. Power BI experience is strongly preferred, particularly the ability to visualize remediation plans, progress, risks, and outcomes. Upon successful completion of the governance backlog, there may be an opportunity for the role to evolve into a more business intelligence-oriented position, depending on demonstrated capability in Power BI, SQL, and data storytelling.

Responsibilities include leading the end-to-end remediation plan for a large data governance backlog, identifying and prioritizing key tables that require governance artifacts, creating, validating, and maintaining data dictionaries, source-to-target mappings, CDE documentation, metadata, lineage context, and related governance artifacts. The analyst will use SQL to profile, validate, investigate, and document tables, fields, transformations, joins, business rules, and data quality considerations. They will partner with data governance teams to align deliverables with enterprise standards, collaborate with internal analyst teams and subject matter experts, translate technical findings into clear updates for stakeholders, support democratization of clean, governed, well-documented tables, develop and maintain reporting or dashboard views in Power BI, recommend improvements to documentation templates, governance intake processes, quality checks, and repeatable workflows, ensure documentation is business-friendly, technically accurate, and usable by analysts, data stewards, governance partners, and leadership audiences, contribute to analytics and business intelligence work as backlog remediation matures, and perform other duties as assigned.

Qualifications include significant experience researching, compiling, documenting, and validating data, business processes, data flows, and analytical workflows, advanced SQL skills, demonstrated ability to manage complex work streams with multiple stakeholders, dependencies, deadlines, deliverables, and quality expectations, experience creating or maintaining data dictionaries, metadata documentation, source-to-target mappings, data lineage notes, business definitions, or similar governance artifacts, working knowledge of data governance concepts, data warehousing concepts, database structures, ETL/ELT processes, and analytical data pipelines, strong communication skills, advanced skill identifying business requirements, clarifying data definitions, resolving ambiguity, and recommending practical solutions, ability to partner effectively with governance teams, analysts, data owners, engineers, and business stakeholders, advanced skill interpreting data models, tables, reports, and documentation and translating them into formats that support decision-making and enterprise reuse, experience with project tracking, issue management, status reporting, and documentation quality control, advanced Microsoft Excel skills and familiarity with collaboration tools used to manage inventories, deliverables, status updates, and documentation review cycles, and a bachelor's degree in Information Systems, Computer Science, Engineering, Business Analytics, Data Analytics, or a related field, or the equivalent combination of training, education, and experience.

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