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 acrossmodern data platforms. You will build and optimize datasets in SQL Server, Snowflake, andMicrosoft Fabric, develop analytics in Python, and deliver executive-ready insights through Tableauand Power BI. You will also leverage Microsoft Copilot and other AI-assisted tools to accelerateanalysis, 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 analyticsdeliverables (datasets, semantic models, dashboards, and insights).• Write and optimize advanced SQL across SQL Server, Snowflake, and MicrosoftFabric (Warehouse/Lakehouse).• Design and maintain analytics-ready data models (dimensional/star schemas, curatedlayers, reusable views/tables).• Build, enhance, and performance-tune dashboards and reporting in Power BI (DAX, PowerQuery, 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, refreshmonitoring, metric certification).• Develop within Microsoft Fabric using relevant components (e.g., notebooks, DataflowsGen2, pipelines, Lakehouse/Warehouse, semantic models) as applicable.• Leverage Microsoft Copilot and AI tools (e.g., Copilot for Power BI/Fabric/M365 and otherapproved 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 recommendactions backed by data.• Maintain documentation for metric definitions, logic, lineage, and operational runbooks tosupport 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, securitybasics).• 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.