Job Description

• 5+ years of hands-on experience in business intelligence, analytics, or reporting roles with a strong focus on Power BI development
• Advanced proficiency in Power BI , including:
  • Building and maintaining Power BI semantic models
  • Developing production-quality reports and dashboards
  • Writing and optimizing DAX measures for analytical use cases
• Strong data analysis skills , with the ability to:
  • Explore, validate, and interpret data
  • Identify trends, anomalies, and root causes
  • Translate business questions into analytical logic and metrics
• Solid SQL experience , including writing, modifying, and troubleshooting queries used for reporting and modeling
• Experience designing clean, scalable data models , including star schemas, relationships, and reusable metrics
• Familiarity with governed self-service analytics and Citizen IT models in Power BI (datasets, certified/promoted content, shared measures)
• Strong understanding of business operations, KPIs, and performance metrics, with the ability to challenge assumptions using data
• Experience working cross-functionally with IT, data engineering, and business teams
• Excellent communication skills, with the ability to explain analytical concepts and data findings to non-technical stakeholders
• Ability to work independently, take ownership of BI assets, and drive solutions from concept through delivery
• Comfort leading in-person working sessions and collaborating directly with business leaders

• Design, build, and maintain Power BI semantic models that support consistent, reliable reporting and analysis across the organization
• Perform hands-on data analysis to understand business drivers, validate data quality, and uncover actionable insights
• Develop Power BI reports and dashboards that clearly communicate trends, performance, and key business outcomes
• Translate business questions and requirements into:
  • Analytical logic
  • DAX measures
  • SQL queries
  • Intuitive Power BI visualizations
• Lead the consolidation and rationalization of existing reports into standardized, scalable Power BI solutions
• Ensure semantic consistency across models and reports, including metric definitions, calculation logic, filters, and naming conventions
• Partner with IT and data engineering teams to:
  • Understand source data
  • Address data gaps or quality issues
  • Align on modeling and refresh strategies
• Support and guide business users in a self-service analytics environment , enabling them to confidently consume and extend trusted datasets
• Conduct in-person working sessions to gather requirements, review data findings, and iterate on reports with stakeholders
• Continuously improve Power BI assets by identifying opportunities for optimization, simplification, and automation

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