
Power BI Developer , Support Data Innovation (DI)
- Pune, Maharashtra
- Permanent
- Full-time
- Provide front-line support for Power BI dashboards, ensuring reliable access, accurate data, and consistent performance.
- Monitor overnight/weekend orchestration jobs to ensure successful data refreshes. Trace, identify, and troubleshoot failed pipelines.
- Analyze and resolve reporting issues, including broken visuals, incomplete datasets, inaccurate KPIs, and refresh failures.
- Use SQL to investigate data anomalies, perform root cause analysis, and validate report data against source systems.
- Monitor and support Power BI data refreshes and scheduled jobs, identifying failures and taking corrective action as needed.
- Support users with report access, navigation, and usage, and provide basic training to enhance their ability to self-serve insights.
- Collaborate with developers, analysts, and business users to gather requirements for report enhancements or new report creation.
- Assist in maintaining documentation of report logic, data flows, source systems, and business rules.
- Work closely with data engineers to support the optimization of queries and data models used in reports and dashboards.
- Participate in quality assurance testing for new or updated Power BI reports and SQL views to ensure data accuracy and performance.
- Track and manage support tickets, ensuring timely resolution and communication with stakeholders.
- Help identify opportunities to streamline and automate recurring report processes.
- 3 to 6 years of experience in reporting, data support, or business intelligence roles.
- Strong knowledge and hands-on experience with reporting and visualization tools, with a primary focus on Power BI; familiarity with SSRS is a plus.
- Solid SQL skills with the ability to write, read, and debug complex queries across multiple database environments (e.g., SQL Server, Azure, Snowflake).
- Demonstrated ability to analyze data and troubleshoot reporting or data integrity issues.
- Familiarity with data pipelines (e.g., Azure Data Factory) and understanding of how upstream data impacts reports.
- Experience supporting report users and managing ticket-based support systems.
- Strong understanding of data governance, security, and best practices in BI reporting.
- Proficiency in Power BI report development, support, and administration (including datasets, dataflows, and RLS).
- Strong SQL skills, including data extraction and troubleshooting.
- Familiarity with data pipeline tools such as Azure Data Factory; ability to monitor and trace failed data jobs.
- Understanding of data warehousing concepts, including data modeling, ETL processes, and star/snowflake schemas.
- Ability to analyze complex data sets and clearly communicate findings to technical and non-technical stakeholders.
- Experience with reporting performance troubleshooting and optimizing data models for efficiency.
- Strong problem-solving abilities and attention to detail, especially when resolving data discrepancies.
- Excellent time management and organizational skills with the ability to manage multiple priorities.
- Clear and concise written and verbal communication skills.
- Ability to work independently as well as collaborate with cross-functional teams in a fast-paced environment.
- A passion for data accuracy, integrity, and user satisfaction.
- Minimum 3 to 6 years of experience leading the creation/support of data and analytic products.
- Strong knowledge and hands-on experience with reporting and visualization tools, with a primary focus on Power BI; familiarity with SSRS is a plus
- Proficient in writing SQL queries for different database environments like SQL Server, Azure, and Snowflake.
- Proven experience in Power BI report development and deployment, including workspace management, dataset publishing, and implementing security and governance best practices
- Proficiency in data analysis and research.
- Azure Data Engineer with Azure Data Factory pipelines skills
- Job monitoring skills, ability to trace and identify failed pipelines
- Familiar with Data Storage, Databricks, and Pyspark
- Ability to understand and update complex SQL queries
- Must be able to manage multiple and changing priorities simultaneously in a fast-paced environment, ensuring aggressive deadlines are met.
- Strong time management skills - able to prioritize, organize, and plan work effectively.
- Excellent verbal and written communication skills, both with business-facing and technical-facing colleagues.
- Strong problem-solving ability