Data Analyst (Power BI)

Responsibilities:

• Design, develop, and maintain Power BI dashboards, reports, and datasets, ensuring they are visually clear, performant, and aligned with business needs.
• Configure and optimize Power BI embedded capacity, including workspace organization, capacity planning, performance tuning, and governance best practices.
• Work with stakeholders to understand their business (goals, objectives, processes) and operational systems, gather and refine business requirements, translating them into robust data models and reporting solutions.
• Develop and maintain SQL queries and scripts to extract, transform, and validate data from various source systems.
• Build and maintain relational data models (star/snowflake schemas, fact/dimension tables) to support scalable reporting and analytics.
• Perform exploratory data analysis to identify trends, anomalies, and opportunities, providing clear insights and recommendations to the business.
• Ensure data quality and consistency through validation checks, reconciliation, and collaboration with data engineering/IT teams.
• Document data sources, metrics definitions, report logic, and processes to support transparency and maintainability.
• Partner with cross-functional teams (e.g., Product, Finance, Operations, Technology) to drive data-informed decision-making.
• Stay current on Power BI features and best practices and share knowledge with the wider team.

Skills:

• Bachelors Degree in Computer Science or related technical discipline; or equivalent combination of education, technical training, and work experience.
• Minimum three years of professional experience as a Data Analyst specializing in Advanced Power BI skills, including: Building complex dashboards, paginated reports (nice to have), and reusable datasets.
• Strong DAX knowledge for measures, calculated columns, and time-intelligence calculations.
• Experience with Power BI embed capacity (e.g., capacity planning, dedicated vs shared capacity, app workspaces, row-level security in embedded scenarios).
• Intermediate SQL proficiency, with the ability to: Write clean, optimized queries involving joins, subqueries, CTEs, aggregations, and window functions.
• Troubleshoot and improve inefficient queries.
• Solid understanding of relational database concepts and relational data modeling, including: Normalization/denormalization, Designing fact and dimension tables to support reporting.
• Demonstrated experience in data analysis, including: Translating business questions into analytical approaches, Interpreting data and presenting clear, concise insights and recommendations, Using data to validate hypotheses and measure the impact of initiatives.
• Strong attention to detail and commitment to data accuracy and integrity.
• Effective communication skills, able to explain technical concepts to non-technical stakeholders as well as being able to understand business concepts and translate them into robust technology solutions.

Benefits:

• 💡 Mentorship and on-the-job training
• 🏥 Exposure to real-world healthcare projects
• 🚀 Career growth and professional development opportunities
• 🤝 Collaborative, mission-driven work environment
• 💰 Competitive salary and benefits package