Data Analytics Specialist

Must Have Qualifications: The ideal candidate must have working knowledge of Python, SQL, PowerBI, and Snowflake, develop Power BI dashboards, and write SQL queries. Must have familiarity in AI and Copilot.

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.