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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Analyst - **Company:** Hays Specialist Recruitment LLC - **Location:** Vienna, VA, United States - **Experience:** Expert - **Salary:** $120,640.0 - $130,874.0 - **Contract:** Temporary contract - **Skills:** Microsoft Excel, Data Analysis, Big Data, Collaborative Software, Information Systems, Data Validation, Data Dictionary, Data Governance, Extract Transform Load (ETL), Data Security, Data Warehousing, Database Storage Structures, Metadata, Meta-Data Management, Power BI, SQL Databases, Data Streaming, Sql Optimization, Information Technology, Data Lineage, Data Management - **Published:** August 13, 2026 - **Apply:** https://www.hays.com/job-detail/data-analyst--virginia_1185859 ## About the Role * 5-10 years exp * SQL - needed to pull tables and associated data elements/columns * Organization/project management/reporting - needed to provide stakeholders updates on progress and ensure full inventory is reviewed and captured. * Knowledge of data governance practices (creating data dictionaries, sttms, cdes) * Working in teams - this project cannot be done in a silo and will require peer and stakeholder support. * PowerBI experience Executive presentations Translating data trends into insights Core Skills * Project management, SQL, stakeholder communication, governance partnerships, analyst collaboration. * Significant experience researching, compiling, documenting, and validating data, business processes, data flows, and analytical workflows. * Advanced SQL skills, including the ability to query large datasets, assess table structures, validate field logic, investigate data quality issues, and interpret joins or transformations. * Demonstrated ability to manage complex workstreams 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, including metadata management, CDEs, data stewardship, data ownership, data quality, and governed data access. * Working knowledge of data warehousing concepts, database structures, ETL/ELT processes, and analytical data pipelines. * Strong communication skills with the ability to summarize technical findings, explain documentation needs, escalate blockers, and communicate progress to both technical and business audiences. * 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 to collect, validate, and publish high-quality documentation. * 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. * 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. * Power BI experience, including the ability to create dashboards that communicate plan, progress, risk, backlog burn-down, artifact completion, and adoption readiness. * Experience applying data storytelling principles to turn governed data into leadership-ready insights, decisions, and recommendations. * Experience with Microsoft Purview or similar data catalog, metadata management, or governance platforms. * Experience supporting enterprise-wide or cross-business unit data governance, reporting, analytics, or documentation initiatives. ## Description * Lead the end-to-end remediation plan for a large data governance backlog, including intake, prioritization, sequencing, status tracking, risk identification, and follow-through on deliverables. * Identify and prioritize key tables that require governance artifacts based on usage, business value, data sensitivity, reporting dependency, and readiness for broader enterprise consumption. * Create, validate, and maintain data dictionaries, source-to-target mappings (STTM), CDE documentation, metadata, lineage context, and related governance artifacts. * Use SQL to profile, validate, investigate, and document tables, fields, transformations, joins, business rules, and data quality considerations. * Partner with data governance teams to align deliverables with enterprise standards, metadata expectations, cataloging requirements, CDE practices, and artifact approval workflows. * Collaborate with internal analyst teams and subject matter experts who possess unique knowledge of business processes, table usage, definitions, and reporting dependencies. * Translate technical findings into clear, concise updates for stakeholders, including progress summaries, blockers, decisions needed, risks, dependencies, and recommended next steps. * Support democratization of clean, governed, well-documented tables so other business units can understand, discover, and use internally warehoused data appropriately. * Develop and maintain reporting or dashboard views, preferably in Power BI, to visualize remediation progress, backlog burn-down, artifact completeness, data readiness, and adoption opportunities. ## Related Videos - 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