Business analyst with power bi developer

Business Analyst with Power BI

Role Summary

Drive 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 Responsibilities

Requirements & Analysis Lead 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 Delivery Define 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 & Quality Establish 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 & Adoption Act as a bridge between business, product, and engineering; prioritize backlogs (Jira/Azure Dev Ops). Deliver training, usage guidance, and change management to drive self-service analytics. Present insights and recommendations with clear storytelling.

Required Qualifications

4–7 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 Dev Ops/Confluence). Excellent communication, facilitation, and stakeholder management skills.

Preferred Qualifications

Exposure 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).

Education

Bachelor's degree in Information Systems, Computer Science, Engineering, or related field; MBA a plus.