Data Intelligence Analyst
Geetha SRemoteMIDPosted 13d ago
Power BIDataflows Gen2Direct LakeAI-assisted analyticsSQLPythonPandasPySparkData processing frameworksSnowflakeAzure SynapseMicrosoft FabricDatabricksGenerative AIAI agentsCopilotsAzure AI FoundryCopilot StudioAzure OpenAIAWS BedrockAPIJSONSalesforceSAPData governanceMetadata managementData qualityLineageResponsible AIEnterprise standards
About the Role
We are seeking a Data Intelligence Analyst to join our team in a remote contract role. This position involves designing, developing, and delivering scalable Power BI dashboards and semantic models to provide actionable insights to leadership.
Key Responsibilities
• Design and develop scalable Power BI dashboards and semantic models using capabilities such as Dataflows Gen2, Direct Lake, and AI-assisted analytics
• Develop and optimize data pipelines using SQL, Python (Pandas/PySpark), and modern data-processing frameworks
• Architect and manage cloud data solutions leveraging Snowflake, Azure Synapse, Microsoft Fabric, or Databricks
• Build and integrate generative AI, AI agents, and copilots into enterprise workflows
• Develop API- and JSON-based integrations and data pipelines connecting enterprise platforms
• Establish and apply data and AI governance practices
• Partner with business, Master Data, and digital transformation teams to define data products, KPIs, and AI-driven insights
• Enable self-service analytics and AI adoption by training users on Power BI, Copilot, and data tools
Requirements
• Bachelor’s degree or higher
• Seven years of experience in data analytics, business intelligence, data engineering, or data science roles
• Hands-on experience with data visualization tools such as Power BI
• Experience working with modern data platforms such as Snowflake, Databricks, Azure Synapse, or Microsoft Fabric
• Proficiency in SQL and at least one programming language (Python preferred)
• Hands-on experience developing, implementing, or supporting AI/ML solutions
• Experience developing generative AI, retrieval-augmented generation, or agentic AI solutions
• Understanding of data governance, data quality, and metadata management principles