PowerBI Developer / Analyst - Remote

Data Intelligence Analyst
Type: Contract 
Duration : Long Term 
Location: Remote

As a Data Intelligence Analyst, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Here, you will make an impact by:
•    Design, develop, and deliver scalable Power BI dashboards and semantic models using capabilities such as Dataflows Gen2, Direct Lake, and AI-assisted analytics to provide actionable insights to leadership.
•    Develop and optimize data pipelines using SQL, Python (Pandas/PySpark), and modern data-processing frameworks, enabling ingestion, transformation, and analysis of structured and unstructured data.
•    Architect and manage cloud data solutions leveraging Snowflake, Azure Synapse, Microsoft Fabric, or Databricks, ensuring high-performance data modeling and efficient ingestion for analytics and AI use cases.
•    Design, operationalize, and evaluate AI/ML solutions, including predictive analytics, anomaly detection, classification, forecasting, natural language processing, and Copilot-enabled analytics.
•    Build and integrate generative AI, AI agents, and copilots into enterprise workflows using structured and unstructured data and approved platforms such as Azure AI Foundry, Copilot Studio, Azure OpenAI, AWS Bedrock, or similar technologies.
•    Develop API- and JSON-based integrations and data pipelines connecting enterprise platforms—including Salesforce, SAP, and external regulatory platforms—to analytics, AI/ML, and agent-driven workflows.
•    Establish and apply data and AI governance practices—including data quality, metadata management, lineage, responsible AI, and enterprise standards—in collaboration with Quality, Regulatory, IT, and Data Governance teams.
•    Partner with business, Master Data, and digital transformation teams to define data products, KPIs, and AI-driven insights that support Healthcare and Regulatory operations.
•    Enable self-service analytics and AI adoption by training users on Power BI, Copilot, and data tools; promote best practices in data literacy and responsible AI usage.