Job Description:
Role Overview
We are looking for a Senior Power BI Developer / Analytics Engineer with deep expertise in semantic modeling, DAX, and Power Query, along with strong hands-on experience in Snowflake and Python.
This role requires a highly analytical professional capable of designing scalable data models, building enterprise-grade dashboards, and enabling self-service analytics across business functions.
Key Responsibilities
1. Power BI Development & Visualization
- Design and develop advanced dashboards using Microsoft Power BI
- Build complex DAX measures, calculated columns, and KPIs
- Optimize report performance and ensure usability at scale
- Implement Row-Level Security (RLS) and data access controls
2. Semantic & Data Modeling (Core Focus)
- Design robust semantic models (tabular models) for enterprise reporting
- Develop and maintain star and snowflake schemas
- Ensure optimized relationships, hierarchies, and aggregations
- Work closely with business teams to define metrics and data definitions
3. Power Query (M) & Data Transformation
- Develop advanced data transformation logic using Power Query (M language)
- Build reusable dataflows and transformation pipelines
- Handle data ingestion, cleansing, and shaping for reporting
4. Snowflake Integration
- Work extensively with Snowflake for data sourcing and modeling
- Write optimized SQL queries for large datasets
- Design and manage data marts and reporting layers
- Collaborate with data engineering teams on ELT pipelines
5. Python for Data Processing & Automation
- Use Python for:
- Data transformation and preprocessing
- Automation of reporting workflows
- Advanced analytics and scripting
- Integrate Python outputs into Power BI where applicable
6. Stakeholder & Delivery Management
- Gather and translate business requirements into technical solutions
- Work with cross-functional teams (Data Engineering, Business, IT)
- Provide insights and recommendations to leadership stakeholders
Required Skills & Qualifications
Technical Expertise
- 9–12 years of overall experience in Data & Analytics
- 6+ years hands-on experience in Microsoft Power BI
- Strong expertise in:
- DAX (advanced level)
- Power Query (M language)
- Semantic/Data Modeling (Tabular models, Star schema)
- 3+ years experience with Snowflake
- Proficiency in Python for data handling and automation
- Strong SQL skills (CTEs, window functions, query optimization)
Data & Architecture Knowledge
- Strong understanding of:
- Data Warehousing concepts
- ETL / ELT frameworks
- OLAP systems and dimensional Modeling
- Experience in building scalable and reusable data models
Soft Skills
- Strong problem-solving and analytical thinking
- Excellent communication and stakeholder engagement
- Ability to lead discussions and mentor junior developers
- Experience working in Agile/Scrum environments
Key Deliverables
- Enterprise-grade Power BI dashboards and semantic models
- High-performance DAX measures and optimized queries
- Scalable Snowflake-based data models and reporting layers
- Automated workflows using Python
Preferred Certifications
- Microsoft PL-300 (Power BI)
- Azure Data certifications (DP-203 or equivalent)
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