Business System Analyst - 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 DevOps).

• 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 DevOps/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.