Technology->Cloud Platform->Power Platform->Power BI-DAX, Power Query, SQL, Data Modeling, Data Warehousing

Key Responsibilities: Power BI Solution Delivery

- Lead the design, development, and deployment of Power BI reports, dashboards, and semantic models aligned to business goals.
- Translate business requirements into effective data visualizations and KPI frameworks, ensuring clarity and usability for end users.
- Define report standards, reusable templates, and visualization best practices to ensure consistency across deliverables. Data Modeling & Performance
- Build and optimize data models, measures, and calculations to support scalable analytics and high-performing dashboards.
- Troubleshoot performance bottlenecks and implement optimization techniques for datasets, visuals, and refresh cycles. ETL & Data Integration
- Partner with data engineering teams to define ETL requirements and ensure clean, reliable, and well-documented data pipelines.
- Validate data quality and ensure reconciliation between source systems and BI outputs. Leadership & Stakeholder Management
- Lead technical discussions with stakeholders, manage expectations, and provide clear delivery plans and status updates.
- Mentor BI developers/analysts, conduct reviews, and enforce development standards and governance practices.




- Support production operations by handling enhancements, bug fixes, and root-cause analysis for BI issues.

Minimum

Qualifications:

- BTECH, MTECH, MCA, or MSC.
- 7–9 years of overall experience with strong hands-on expertise in Power BI development and delivery.
- Proven experience in building enterprise dashboards, reports, and data models in Power BI.
- Strong experience working with ETL processes and collaborating on data integration requirements.
- Ability to gather requirements, translate them into BI solutions, and communicate effectively with business and technical teams.

Preferred

Qualifications:

- Experience leading BI initiatives end-to-end, including planning, estimation, and delivery governance.
- Solid understanding of analytics lifecycle: requirement discovery, semantic modeling, visualization, validation, and rollout.
- Experience implementing access controls and governance practices for enterprise BI usage.
- Track record of improving dashboard performance, usability, and adoption through best practices and stakeholder feedback loops.
- Experience coaching team members and establishing standards for documentation, versioning, and release management.

📌 Power BI (Bengaluru)
🏢 Infosys
📍 Bengaluru