Job Summary
Brief Description
Join our data and analytics team to deliver trusted business insights, collaborate with U.S.-based stakeholders, and apply AI-assisted development practices. Own reporting solutions from requirements through production support. Work directly with U.S.-based stakeholders to turn business questions into reliable dashboards, reusable semantic models, and actionable insights, partnering with data engineers on source data.
RESPONSIBILITIES
• Reports & Dashboards: Independently design Power BI Desktop reports and Service dashboards; translate requirements into agreed KPIs, intuitive visualizations, and self-service analytics.
• Data & Modeling: Transform and integrate data using SQL and Power Query/M; build star-schema semantic models, reusable DAX measures, and consistent business definitions.
• Security & Releases: Implement row-level security, configure gateways and scheduled refresh, and manage testing and deployment pipelines within established access and release controls.
• Quality & Performance: Tune DAX, queries, models, and report performance; troubleshoot refresh failures, reconcile results, and maintain data quality, lineage, and governance documentation.
• Stakeholder Collaboration: Gather requirements with U.S.-based stakeholders, estimate work, coordinate user acceptance testing, document solutions, and support adoption with business and data teams.
• AI-Assisted Development: Use approved AI-assisted tools to draft DAX/M, troubleshoot, document solutions, and explore insights; validate results and protect client data.
Preferred Skills
Experience ranges are indicative; equivalent demonstrated capability will be considered.
• Required - Experience: Typical range: 3-5 years in BI/reporting, including 3+ years of hands-on Power BI development. Demonstrate independent delivery from requirements through transformation, modeling, visualization, deployment, and support.
• Required - Core Skills: Strong Power BI Desktop/Service, DAX, Power Query/M, SQL, and star-schema modeling; practical experience with row-level security, gateways, refresh, deployment pipelines, and performance tuning.
• Required - Working Style: Ability to validate business metrics, manage delivery commitments, apply data quality/governance practices, and communicate clearly with U.S.-based stakeholders and distributed teams.
• Preferred - Azure & Fabric: Experience with one or more of the following is a strong plus: Azure SQL, Azure Data Factory, Azure Synapse Analytics, Azure Databricks, or Microsoft Fabric (OneLake, Lakehouse, semantic models).
• Preferred - Integration & Certification: API/data-source integration (REST, JSON, authentication) is a plus. PL-300 certification is preferred; equivalent practical experience is welcomed.
SKILLS : Power BI Desktop & Service · DAX · Power Query/M · SQL · Semantic Models · Row-Level Security · Gateways · Deployment Pipelines · Performance Tuning · Data Governance