Business Analyst with Power BI Developer

Business Analyst with Power BIRole SummaryDrive data-informed decision making by translating business needs into clear requirements and scalable Power BI solutions. You will own the end-to-end analytics lifecycle—from discovery and requirement gathering to data modeling, dashboard development, governance, and user adoption.Key ResponsibilitiesRequirements & AnalysisLead workshops, interviews, and process mapping (BPMN) to capture business goals, KPIs, and pain points.Produce BRDs/FRDs, user stories, acceptance criteria, and process/data flow diagrams.Perform gap, feasibility, and cost–benefit analyses; conduct root-cause analysis using data.Data & BI DeliveryDefine metrics and data contracts; translate KPIs into semantic models and datasets.Build Power BI dashboards and paginated reports with robust DAX measures and Power Query (M).Design star/snowflake models; optimize relationships, aggregations, and query performance.Implement row-level security (RLS), certified datasets, and deployment pipelines in Power BI Service.Manage workspaces, gateways, refresh schedules, and versioning; coordinate releases and UAT.Governance & QualityEstablish data definitions, dictionaries, and lineage documentation.Partner with data engineering on ETL/ELT, ensuring data integrity, security, and compliance.Define test plans, validate results, and maintain runbooks and support SOPs.Stakeholder Management & AdoptionAct as a bridge between business, product, and engineering; prioritize backlogs (Jira/Azure DevOps).Deliver training, usage guidance, and change management to drive self-service analytics.Present insights and recommendations with clear storytelling.Required Qualifications4–7 years as a Business/Systems Analyst, including 2+ years hands-on with Power BI.Strong Power BI skills: DAX, Power Query (M), data modeling (star schema), performance tuning, RLS.Proficient SQL (joins, CTEs, window functions) and data profiling.Experience with BI lifecycle in Agile/Scrum environments (Jira/Azure DevOps/Confluence).Excellent communication, facilitation, and stakeholder management skills.Preferred QualificationsExposure to Azure analytics stack (Azure SQL, Synapse, Data Lake, Data Factory) or equivalent.Knowledge of APIs/REST/JSON, ETL/ELT concepts; familiarity with Git-based workflows.Tools: DAX Studio, Tabular Editor, ALM Toolkit; experience with Power BI Premium features.Certifications: Microsoft PL-300 (Power BI Data Analyst), PSM/CSPO, IIBA CCBA/CBAP.Nice-to-have: Python/R for analytics, statistics, Power Automate/Power Apps, embedded analytics.Domain experience in [BFSI/Healthcare/Retail/Manufacturing/etc.].Success Metrics (KPIs)Report adoption and satisfaction (usage growth, NPS).Cycle time from request to deployment; backlog throughput.Data quality and refresh reliability; reduction in manual reporting hours.Performance benchmarks (e.g., <3s median visual/DAX query time).Self-service enablement (share of certified datasets, reuse rate).EducationBachelor’s degree in Information Systems, Computer Science, Engineering, or related field; MBA a plus.