
Senior Power BI Developer/Lead
2 weeks ago
Job Description:
Power BI Developer/Lead
Job Location: Hyderabad / Bangalore / Chennai / Kolkata / Noida/ Gurgaon / Pune / Indore / Mumbai
Responsibilities:
- 6+ years of BI/Data Visualization experience, with strong expertise in Power BI.
- Dashboard Development & Visualization
- Design and develop interactive dashboards and reports using Power BI Desktop.
- Implement advanced chart types (heatmaps, scatter plots, bar charts) and apply trend analysis for business insights.
- Ensure dashboards are optimized for usability, performance, and scalability.
- Data Preparation & Modeling
- Perform data cleaning and transformation using Power Query.
- Develop semantic models with relationships, hierarchies, and calculated measures.
- Create time intelligence measures (YTD, MTD, period-over-period) for business reporting.
- Deployment & Lifecycle Management
- Manage Power BI Deployment Pipelines for ALM (Application Lifecycle Management).
- Publish, monitor, and secure reports/dashboards in Power BI Service.
- Collaborate with data engineering teams to ensure data quality, governance, and compliance.
- Advanced Analytics & Collaboration
- Develop and optimize DAX expressions for complex calculations.
- Collaborate with stakeholders to gather requirements and translate them into actionable dashboards.
- Conduct end-user training and adoption workshops.
- Required Skills & Qualifications
Proficiency in:
- Power BI Desktop & Power BI Service
- Data cleaning & transformation with Power Query
- DAX (including time intelligence functions: YTD, MTD, period-over-period)
- Data modeling, relationships, and calculated measures
- Power BI Deployment Pipelines (ALM best practices)
- Strong SQL knowledge for data preparation and queries.
- Microsoft Certified: PL-300 (Power BI Data Analyst Associate) and PL-900 (Power Platform Fundamentals).
Preferred Skills
- Experience with other BI tools (Tableau, Qlik, Looker).
- Familiarity with cloud data platforms (Azure Synapse, Snowflake, Databricks, BigQuery).
- Knowledge of row-level security (RLS) and data governance.
- Understanding of statistical analysis and forecasting techniques."
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