IT Analyst III focuses on designing, developing, and delivering data intelligence solutions-including Power BI dashboards, cloud data platforms, and AI/ML models-to provide actionable insights for leadership and regulatory operations.
Key Responsibilities:
Design, develop, and deliver scalable Power BI dashboards and semantic models using Dataflows Gen2, Direct Lake, and AI-assisted analytics to provide actionable insights to leadership.
Develop and optimize data pipelines with SQL, Python (Pandas/PySpark), and modern frameworks for ingestion, transformation, and analysis of structured and unstructured data.
Architect and manage cloud data solutions in Snowflake, Azure Synapse, Microsoft Fabric, or Databricks, ensuring high-performance modeling and efficient ingestion for analytics and AI.
Design, operationalize, and evaluate AI/ML solutions, including predictive analytics, anomaly detection, classification, forecasting, NLP, and Copilot-enabled analytics.
Build and integrate generative AI, AI agents, and copilots into enterprise workflows using Azure AI Foundry, Copilot Studio, Azure OpenAI, AWS Bedrock, or similar platforms.
Develop API- and JSON-based integrations and data pipelines connecting enterprise platforms-Salesforce, SAP, and external regulatory platforms-to analytics, AI/ML, and agent-driven workflows.
Establish and apply data and AI governance practices-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.
Qualifications:
Bachelor's degree or higher in Computer Science, Data Science, Engineering, Statistics, Information Systems, or a related field from an accredited institution.
Seven (7) years of experience in data analytics, business intelligence, data engineering, or data science roles with demonstrable impact delivering data-driven insights.
Hands-on experience with Power BI (including DAX, data modeling, and dashboard design); familiarity with Microsoft Fabric, Copilot, or embedded analytics.
Experience working with modern data platforms such as Snowflake, Databricks, Azure Synapse, or Microsoft Fabric, including data ingestion and transformation.
Proficiency in SQL and at least one programming language (Python preferred) for data manipulation, automation, and analysis (e.g., Pandas, PySpark).
Hands-on experience developing, implementing, or supporting AI/ML solutions using Python or R.
Master's degree in Computer Science, Data Science, Mathematics, Statistics, Finance, or a related quantitative field.
Experience developing generative AI, retrieval-augmented generation, or agentic AI solutions and integrating them with enterprise data platforms and business applications, preferably in regulated environments.
Understanding of data governance, data quality, and metadata management principles within enterprise environments.
Demonstrated curiosity and ability to quickly learn, evaluate, and apply emerging AI technologies to solve business problems and deliver measurable value.