We are seeking a Data Intelligence Analyst to design and deliver scalable Power BI dashboards, data pipelines, cloud data solutions, and AI/ML capabilities that provide actionable insights to leadership. This role focuses on data analytics, AI integration, data governance, and supporting data-driven decision-making across business operations.
Responsibilities - Design, develop, and deliver scalable Power BI dashboards and semantic models using 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 using Snowflake, Azure Synapse, Microsoft Fabric, or Databricks.
- Design, implement, 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.
- Develop API- and JSON-based integrations connecting enterprise platforms, including Salesforce, SAP, and external regulatory platforms, to analytics and AI/ML workflows.
- Establish data and AI governance practices, including data quality, metadata management, lineage, responsible AI, and enterprise standards.
- Partner with business, Master Data, and digital transformation teams to define data products, KPIs, and AI-driven insights supporting Healthcare and Regulatory operations.
- Train users on Power BI, Copilot, and data tools while promoting data literacy and responsible AI usage.
Must Haves - 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, with demonstrated impact delivering data-driven insights.
- Hands-on experience with Power BI, including DAX, data modeling, and dashboard design.
- Experience 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, preferably Python, for data manipulation, automation, and analysis using tools such as Pandas or PySpark.
- Hands-on experience developing, implementing, or supporting AI/ML solutions using Python or R.
Nice to Haves - Master’s degree in Computer Science, Data Science, Mathematics, Statistics, Finance, or a related quantitative field.
- Familiarity with Microsoft Fabric, Copilot, or embedded analytics.
- Experience developing generative AI, retrieval-augmented generation (RAG), 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.
- Demonstrated curiosity and ability to quickly learn, evaluate, and apply emerging AI technologies to solve business problems and deliver measurable value.
TechHuman is an Equal Opportunity Employer and is committed to fostering an inclusive workplace. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, gender identity, or gender expression), age, national origin, citizenship status, disability, genetic information, marital status, military status, protected veteran status, or any other status protected under applicable federal, state, or local law.
