Design, develop, and maintain Power BI dashboards and semantic models that support business decision-making Support and refine existing Power BI reports and semantic models Translate business requirements into clear functional and technical specifications for reporting and analytics solutions Perform data modeling to support performant, scalable analytics and reporting use cases Build and maintain ELT/ ETL workflows in collaboration with engineering and platform teams Validate data accuracy and completeness through testing, reconciliation, and proactive issue resolution Partner with product, finance, and operations stakeholders to refine metrics, definitions, and reporting logic Contribute to data architecture discussions and follow established standards and best practices Support continuous improvement of analytics tooling, documentation, and reporting processes Troubleshoot and resolve data discrepancies across dashboards, pipelines, and source systems - - Qualifications - - 3–5 years of experience in analytics engineering, business intelligence, or a related data role Proficiency in Power BI and data modeling (including Power Query). Strong SQL experience. Familiarity with APIs, JSON, and ETL/ ELT concepts. Exposure to Microsoft Fabric Experience with Python and Azure Data Factory. Ability to define and document functional and technical requirements clearly. Strong problem-solving skills for data validation and discrepancy resolution. Effective collaboration with cross-functional teams and stakeholders. Background in data modeling and pipeline development preferred Experience with additional ETL/ ELT tools and Azure DevOps APIs preferred