Convert business problems into analytical logic and data models
Validate metrics against source systems before release
Identify trends, anomalies, leakage, and operational risks
Support decision-making with accurate, explainable insights
Create documentation for KPIs, calculations, and data flows
Power BI Development
Build high-quality Power BI dashboards and reports with a strong focus on usability and clarity
Write advanced DAX measures in a highly optimized manner to achieve business requirements
Design calculations for complex scenarios such as rolling metrics, comparisons, conditional logic, and cumulative values
Optimize DAX to reduce query execution time and improve report responsiveness
Manage relationships, filters, and calculation logic to avoid ambiguity or incorrect results
Implement Row-Level Security (RLS) based on business rules
Configure dataset refresh, manage gateways, and troubleshoot refresh failures in Power BI Service
Advanced SQL Development
Write highly optimized, production-grade SQL queries
Use complex joins, CTEs, sub queries, and window functions effectively
Create SQL logic for:
Incremental data loads
Deduplication and data cleansing
Historical tracking and change detection
Aggregations and pre-calculations
Analyze query execution plans and optimize performance
Design and maintain:
SQL views
Materialized views
Reporting tables
Handle large datasets (millions to billions of rows) efficiently
Perform root-cause analysis for data mismatches and incorrect metrics
Design analytical data structures suitable for reporting and performance
Decide what logic should live in SQL vs Power BI (DAX) based on scalability and maintainability
Define fact and dimension-type tables based on business processes
Design aggregation layers and summary tables where required
Ensure consistent metric definitions across reports and datasets
Review existing data structures and recommend architectural improvements
Work closely with engineering teams on data ingestion and transformation logic
Requirements
Must have at least 4 years of strong experience in Power BI.
Take full ownership of analytics solutions
Design data structures, not just consume them
Write clean, efficient, and scalable SQL
Decide the right balance between SQL, Power BI, and upstream transformations
Deliver insights that directly impact business outcomes
Ensure accuracy, performance, and consistency across all reports
Act as a go-to person for analytics architecture and data logic
Benefits
Working hours: 10:00 AM – 7:00 PM
Working days: 5 days a week (plus 1st & 3rd Saturdays working)
Medical Insurance coverage for employees
Provident Fund (PF) facility
Quarterly parties and yearly outings/trips for team bonding
Regular check-ins with leadership for growth and feedback
Skills Required
- At least 4 years of strong experience in Power BI
- Advanced, highly optimized DAX measure development
- Highly optimized, production-grade SQL (complex joins, CTEs, window functions, subqueries)
- Experience handling large datasets (millions to billions of rows) and performance tuning
- Experience with Power BI Service: dataset refresh configuration, gateway management, and troubleshooting refresh failures
- Ability to design analytical data structures (fact/dimension tables, aggregation layers) and decide SQL vs DAX responsibilities
- Implement Row-Level Security (RLS) based on business rules
- Root-cause analysis for data mismatches and ensuring metric accuracy and consistency
- Take full ownership of analytics solutions and act as go-to person for analytics architecture
What We Do
ScaleupAlly is a fast-growing technology services and software development company that empowers businesses to thrive in the digital age. The firm provides on-demand access to experts in technology solutions development, specializing in custom software, mobile app development, BI and Big Data consulting, and web development, leveraging a collaborative intelligence approach to create industry-changing solutions for startups and leaders worldwide.







