Sr Power BI Lead

Weekday; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Weekday in Bengaluru, India, is seeking a mid-senior BI professional with 7+ years of hands-on experience in Power BI, SQL, and PowerApps to design and deliver enterprise-grade BI solutions. The role involves building dashboards, data models, and KPI scorecards, with strong emphasis on data governance and security.

Responsibilities include optimal data modeling, SSAS/SSRS/SSIS, DAX calculations, and connecting to diverse data sources.

Qualifications

• 7+ years of hands-on Power BI, SQL, and BI engineering experience.
• Experience designing and optimizing BI reports, data models, and data governance.
• Strong knowledge of SSAS/SSRS/SSIS and DAX calculations.

Responsibilities

• Design, develop, and maintain Power BI reports, dashboards, and KPI scorecards.
• Build and optimize Analysis Services reporting models for data warehouse standards.
• Connect to diverse data sources and implement advanced DAX calculations.
• Architect reporting solutions based on client requirements.
• Implement and manage row-level security and data governance.
• Optimize dashboard and query performance for large datasets.
• Collaborate with UX/UI teams to design impactful visualizations.
• Engage stakeholders to deliver tailored analytics solutions.

Skills

Power BI

SQL

DAX

SSAS/SSRS/SSIS

Data Modeling

Row-level Security

Data Integration

Multidimensional DB

PowerApps

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

Azure Synapse

MS SQL DB

Job description

This role is for one of our clients
Industry: IT Services and IT Consulting
Seniority level: Mid-Senior level

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

₹15,00,000 - ₹25,00,000 a year

Key Responsibilities

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

Required Skills

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

Preferred Skills

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

Desired Qualifications

1. 1. Bachelor's degree in Computer Science, Information Technology, Data Analytics, or a related discipline
2. 2. Microsoft Certified: Data Analyst Associate (Power BI)
3. 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