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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