What are the responsibilities and job description for the Senior Data Analyst :: Need Locals McLean, VA (Onsite) :: Strictly only W2 Position position at Trebecon LLC?
Job Title: Senior Data Analyst
Duration: 8-9 Months
Location: McLean, VA (Onsite)
In-person interview is required.
Job Description:
Description:
Role Summary
- We are seeking a Senior Data Analytics Contractor to deliver end-to-end analytics solutions across modern data platforms.
- You will build and optimize datasets in SQL Server, Snowflake, and Microsoft Fabric, develop analytics in Python, and deliver executive-ready insights through Tableau and Power BI.
- You will also leverage Microsoft Copilot and other AI-assisted tools to accelerate analysis, development, documentation, and stakeholder support—while applying strong validation, governance, and data quality practices.
Key Responsibilities
- Gather requirements, define KPIs, and translate business needs into scalable analytics deliverables (datasets, semantic models, dashboards, and insights).
- Write and optimize advanced SQL across SQL Server, Snowflake, and Microsoft Fabric (Warehouse/Lakehouse).
- Design and maintain analytics-ready data models (dimensional/star schemas, curated layers, reusable views/tables).
- Build, enhance, and performance-tune dashboards and reporting in Power BI (DAX, Power Query, semantic models) and Tableau.
- Use Python (e.g., pandas, NumPy; optional scikit-learn/statsmodels) for data wrangling, statistical analysis, forecasting, experimentation support, and automation.
- Implement data validation and quality controls (reconciliation, anomaly checks, refresh monitoring, metric certification).
- Develop within Microsoft Fabric using relevant components (e.g., notebooks, Dataflows Gen2, pipelines, Lakehouse/Warehouse, semantic models) as applicable.
- Leverage Microsoft Copilot and AI tools (e.g., Copilot for Power BI/Fabric/M365 and other approved assistants) to:
- accelerate SQL/DAX generation and refactoring,
- speed up dashboard prototyping and narrative insights,
- draft documentation and data dictionaries,
- support stakeholder Q&A and self-service enablement, while ensuring correctness through testing and peer/stakeholder validation.
- Communicate findings clearly, create concise executive narratives, and recommend actions backed by data.
- Maintain documentation for metric definitions, logic, lineage, and operational runbooks to support handoff.
Required Skills & Experience
- 7 - 10 years in data analytics/BI/consulting (or equivalent senior-level experience).
- Advanced SQL expertise (CTEs, window functions, complex joins, query tuning).
- Strong experience with SQL Server (T-SQL) and performance optimization.
- Experience with Snowflake (warehouse concepts, optimization/cost awareness, security basics).
- Hands-on experience with Microsoft Fabric (Lakehouse/Warehouse concepts; pipelines/dataflows/notebooks; semantic modeling).
- Strong dashboard development skills in Power BI (DAX, modeling, performance) and Tableau.
- Proficiency in Python for analytics and automation.
- Demonstrated ability to use AI-assisted tools productively with appropriate guardrails (validation, privacy, reproducibility).
- Excellent stakeholder management, communication, and independent delivery skills.
Deliverables / Success Measures
- Reliable, documented KPI definitions and curated datasets used consistently across teams.
- High-performing, user-friendly dashboards in Power BI/Tableau with measurable adoption.
- Reduced manual reporting through automation and reusable analytics assets.
- Clear documentation and handoff materials enabling maintainability after contract completion.
Must Have Qualifications:
- The ideal candidate must have working knowledge of Python, SQL, Power BI, and Snowflake, develop Power BI dashboards, and write SQL queries. Must have familiarity in AI and Copilot.