C2C Job Data Analyst McLean VA

Tech Mirrors; McLean (VA); On-site; USD 80,000 - 110,000; Full time

Job summary

Tech Mirrors in McLean, VA is looking for a Senior Data Analytics Contractor. The role requires delivering end-to-end analytics solutions across modern data platforms, focusing on building datasets and dashboards using SQL, Power BI, and Python.

Ideal candidates will have 7-10+ years of experience in analytics and strong expertise in SQL and Snowflake. The position is onsite and local candidates are preferred.

Qualifications

• 7-10+ years in data analytics/BI/consulting.
• Advanced SQL expertise including CTEs and complex joins.
• Experience with Snowflake and Microsoft Fabric is essential.

Responsibilities

• Gather requirements and translate business needs into analytics deliverables.
• Write and optimize advanced SQL queries.
• Design and maintain analytics-ready data models.
• Build and enhance dashboards in Power BI and Tableau.

Skills

Power BI

Python

SQL

Snowflake

Microsoft Fabric

Tableau

Job description

Role: Data Analyst

Location: McLean VA (Onsite)

Duration: 12+ Months

Need local candidate only.

Must Have Qualifications:

Manager is looking for candidates who have 7-10+ years of experience and must be strong in Power BI and Python. 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.

Job Description:

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.