Power BI Lead

Weekday AI; Pune District; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Weekday AI is recruiting for a senior BI lead to design and deliver advanced Power BI analytics for major clients. You will own data modeling, security, and performance optimization across enterprise datasets.

You will collaborate with data engineers, UX/UI teams, and client stakeholders to craft impactful dashboards and scalable BI solutions.

Qualifications

• 7+ years hands-on BI experience with Power BI, SQL, and PowerApps.
• Experience designing scalable BI solutions and data models.
• Exposure to BI engineering projects and data governance.

Responsibilities

• Design, develop, and maintain Power BI reports, dashboards, and KPI scorecards.
• Build and optimize SSAS models supporting tabular and multidimensional data.
• Connect to diverse data sources and implement advanced DAX calculations.
• Translate wireframes into scalable analytics solutions.
• Implement row-level security and ensure data governance compliance.
• Optimize dashboard performance for large datasets.
• Collaborate with UX/UI teams for effective visuals.
• Engage stakeholders to deliver tailored analytics outputs.

Skills

Power BI expertise

SQL performance tuning

DAX for calculations

SSAS/SSRS/SSIS

Data modeling for BI/ETL

Row-level security

Data sources integration

Multidimensional/Relational DB design

PowerApps and Power Automate

Education

Bachelor's degree in CS/IT/Data Analytics

Microsoft Certified: Data Analyst Associate (Power BI)

Microsoft Certified: Azure Data Engineer Associate or equivalent

Tools

SSAS

SSRS

SSIS

Power BI Desktop

Power BI Premium

Power BI Server/Service

Job description

This role is for one of Weekday’s clients

Min Experience: 7+ years
Location: Bengaluru, Karnataka, India, Pune, Gurgaon, Haryana, India
JobType: full-time

Experience Range: 7 to 10 years of hands‑on experience in Power BI, SQL, and PowerApps, including practical exposure to BI engineering projects

Key Responsibilities

• 1. Design, develop, and maintain Power BI reports, dashboards, and KPI scorecards to deliver actionable insights for business stakeholders
• 2. Build and optimize Analysis Services reporting models, ensuring compatibility with data warehouse standards and supporting both tabular and multidimensional models
• 3. Connect to diverse data sources, import and transform data for business intelligence, and implement advanced calculations using DAX to enhance reporting accuracy
• 4. Architect reporting solutions based on client requirements, translating wireframes and requirement documents into scalable analytics solutions
• 5. Implement and manage row-level security, integrating analytics with data governance, quality, and security platforms to ensure compliance and data protection
• 6. Optimize dashboard and query performance to efficiently handle large and multiple datasets, ensuring timely delivery of analytics outputs
• 7. Collaborate with UX/UI teams to design impactful visualizations, leveraging Power BI product capabilities for enhanced user experience
• 8. Engage with internal and external stakeholders to understand business challenges, deliver tailored analytics solutions, and ensure high-quality client outputs

Required Skills

• 1. Power BI Desktop, Power BI Premium, Power BI Server, and Power BI Services
• 2. SQL and query performance tuning
• 3. DAX for advanced calculations
• 4. Microsoft Business Intelligence Stack (SSAS, SSRS, SSIS)
• 5. Data modeling for BI and ETL development
• 6. Row-level security implementation in Power BI
• 7. Connecting, importing, and transforming data from multiple sources
• 8. Multidimensional and relational database design
• 9. PowerApps and Power Automate

Preferred Skills

• 1. Experience in supply chain domain analytics
• 2. Azure Synapse and MS SQL DB
• 3. Data extraction, ingestion, and processing of large distributed datasets
• 4. Leading large-scale data warehousing and analytics projects
• 5. Python for data analysis and exploratory data analysis

Desired Qualifications

• 1. Bachelor's degree in Computer Science, Information Technology, Data Analytics, or a related discipline
• 2. Microsoft Certified: Data Analyst Associate (Power BI)
• 3. Microsoft Certified: Azure Data Engineer Associate or equivalent certification in SQL/Business Intelligence

Must-have skills

• PBI
• SQL
• SSIS

Good-to-have skills

• Power App
• Data Modeling
• Python