{"schemaVersion":"jobsearcher.job.v1","id":"13a7c95d7a2bb4159ab55dbc","url":"https://jobsearcher.com/jobs/13a7c95d7a2bb4159ab55dbc","canonicalUrl":"https://jobsearcher.com/jobs/13a7c95d7a2bb4159ab55dbc","title":"Senior Data Analytics Lead: Power BI, Python, Snowflake","description":"Role :- Data Analyst\r\nLocation :- McLean VA, (Onsite)\r\nDuration :- 12+ Months\r\nNeed local candidate only.\r\nJob Description:-\r\nMust Have Qualifications\r\nManager 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.\r\nJob Description\r\nRole Summary\r\nWe are seeking a Senior Data Analytics Contractor to deliver end-to-end analytics solutions across\r\nmodern data platforms. You will build and optimize datasets in SQL Server, Snowflake, and\r\nMicrosoft Fabric, develop analytics in Python, and deliver executive-ready insights through Tableau\r\nand Power BI. You will also leverage Microsoft Copilot and other AI-assisted tools to accelerate\r\nanalysis, development, documentation, and stakeholder support—while applying strong validation,\r\ngovernance, and data quality practices.\r\nKey Responsibilities\r\n* Gather requirements, define KPIs, and translate business needs into scalable analytics\r\ndeliverables (datasets, semantic models, dashboards, and insights).\r\n* Write and optimize advanced SQL across SQL Server, Snowflake, and Microsoft\r\nFabric (Warehouse/Lakehouse).\r\n* Design and maintain analytics-ready data models (dimensional/star schemas, curated\r\nlayers, reusable views/tables).\r\n* Build, enhance, and performance-tune dashboards and reporting in Power BI (DAX, Power\r\nQuery, semantic models) and Tableau.\r\n* Use Python (e.g., pandas, NumPy; optional scikit-learn/statsmodels) for data wrangling,\r\nstatistical analysis, forecasting, experimentation support, and automation.\r\n* Implement data validation and quality controls (reconciliation, anomaly checks, refresh\r\nmonitoring, metric certification).\r\n* Develop within Microsoft Fabric using relevant components (e.g., notebooks, Dataflows\r\nGen2, pipelines, Lakehouse/Warehouse, semantic models) as applicable.\r\n* Leverage Microsoft Copilot and AI tools (e.g., Copilot for Power BI/Fabric/M365 and other\r\napproved assistants) to:\r\n* accelerate SQL/DAX generation and refactoring,\r\n* speed up dashboard prototyping and narrative insights,\r\n* draft documentation and data dictionaries,\r\n* support stakeholder Q&A and self-service enablement,\r\nwhile ensuring correctness through testing and peer/stakeholder validation.\r\n* Communicate findings clearly, create concise executive narratives, and recommend\r\nactions backed by data.\r\n* Maintain documentation for metric definitions, logic, lineage, and operational runbooks to\r\nsupport handoff.\r\nRequired Skills & Experience\r\n* 7 – 10+ years in data analytics/BI/consulting (or equivalent senior-level experience).\r\n* Advanced SQL expertise (CTEs, window functions, complex joins, query tuning).\r\n* Strong experience with SQL Server (T-SQL) and performance optimization.\r\n* Experience with Snowflake (warehouse concepts, optimization/cost awareness, security\r\nbasics).\r\n* Hands-on experience with Microsoft Fabric (Lakehouse/Warehouse concepts;\r\npipelines/dataflows/notebooks; semantic modeling).\r\n* Strong dashboard development skills in Power BI (DAX, modeling, performance)\r\nand Tableau.\r\n* Proficiency in Python for analytics and automation.\r\n* Demonstrated ability to use AI-assisted tools productively with appropriate guardrails\r\n(validation, privacy, reproducibility).\r\n* Excellent stakeholder management, communication, and independent delivery skills.\r\nJ-18808-Ljbffr","company":"Tech Mirrors","rawCompany":"tech mirrors","city":"McLean","state":"VA","isRemote":false,"isActive":true,"createdAt":"2026-06-25T00:57:00.250Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-2051.01","title":"Business Intelligence Analysts","slug":"business-intelligence-analysts"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541690","title":"Other Scientific and Technical Consulting Services","slug":"other-scientific-and-technical-consulting-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Analytics Lead: Power BI, Python, Snowflake","description":"Role :- Data Analyst\r\nLocation :- McLean VA, (Onsite)\r\nDuration :- 12+ Months\r\nNeed local candidate only.\r\nJob Description:-\r\nMust Have Qualifications\r\nManager 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.\r\nJob Description\r\nRole Summary\r\nWe are seeking a Senior Data Analytics Contractor to deliver end-to-end analytics solutions across\r\nmodern data platforms. You will build and optimize datasets in SQL Server, Snowflake, and\r\nMicrosoft Fabric, develop analytics in Python, and deliver executive-ready insights through Tableau\r\nand Power BI. You will also leverage Microsoft Copilot and other AI-assisted tools to accelerate\r\nanalysis, development, documentation, and stakeholder support—while applying strong validation,\r\ngovernance, and data quality practices.\r\nKey Responsibilities\r\n* Gather requirements, define KPIs, and translate business needs into scalable analytics\r\ndeliverables (datasets, semantic models, dashboards, and insights).\r\n* Write and optimize advanced SQL across SQL Server, Snowflake, and Microsoft\r\nFabric (Warehouse/Lakehouse).\r\n* Design and maintain analytics-ready data models (dimensional/star schemas, curated\r\nlayers, reusable views/tables).\r\n* Build, enhance, and performance-tune dashboards and reporting in Power BI (DAX, Power\r\nQuery, semantic models) and Tableau.\r\n* Use Python (e.g., pandas, NumPy; optional scikit-learn/statsmodels) for data wrangling,\r\nstatistical analysis, forecasting, experimentation support, and automation.\r\n* Implement data validation and quality controls (reconciliation, anomaly checks, refresh\r\nmonitoring, metric certification).\r\n* Develop within Microsoft Fabric using relevant components (e.g., notebooks, Dataflows\r\nGen2, pipelines, Lakehouse/Warehouse, semantic models) as applicable.\r\n* Leverage Microsoft Copilot and AI tools (e.g., Copilot for Power BI/Fabric/M365 and other\r\napproved assistants) to:\r\n* accelerate SQL/DAX generation and refactoring,\r\n* speed up dashboard prototyping and narrative insights,\r\n* draft documentation and data dictionaries,\r\n* support stakeholder Q&A and self-service enablement,\r\nwhile ensuring correctness through testing and peer/stakeholder validation.\r\n* Communicate findings clearly, create concise executive narratives, and recommend\r\nactions backed by data.\r\n* Maintain documentation for metric definitions, logic, lineage, and operational runbooks to\r\nsupport handoff.\r\nRequired Skills & Experience\r\n* 7 – 10+ years in data analytics/BI/consulting (or equivalent senior-level experience).\r\n* Advanced SQL expertise (CTEs, window functions, complex joins, query tuning).\r\n* Strong experience with SQL Server (T-SQL) and performance optimization.\r\n* Experience with Snowflake (warehouse concepts, optimization/cost awareness, security\r\nbasics).\r\n* Hands-on experience with Microsoft Fabric (Lakehouse/Warehouse concepts;\r\npipelines/dataflows/notebooks; semantic modeling).\r\n* Strong dashboard development skills in Power BI (DAX, modeling, performance)\r\nand Tableau.\r\n* Proficiency in Python for analytics and automation.\r\n* Demonstrated ability to use AI-assisted tools productively with appropriate guardrails\r\n(validation, privacy, reproducibility).\r\n* Excellent stakeholder management, communication, and independent delivery skills.\r\nJ-18808-Ljbffr","datePosted":"2026-06-25T00:57:00.250Z","dateModified":"2026-06-25T00:57:00.250Z","hiringOrganization":{"@type":"Organization","name":"Tech Mirrors","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"McLean","addressRegion":"VA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"13a7c95d7a2bb4159ab55dbc"},"url":"https://jobsearcher.com/jobs/13a7c95d7a2bb4159ab55dbc"}}