Sr. BI Analytics Engineer

Key Responsibilities

• Design, develop, and maintain enterprise-grade BI and analytics solutions using Power BI and Snowflake.
• Build optimized semantic models, datasets, and dashboards in Power BI.
• Develop and maintain Snowflake data models (star/snowflake schemas) for analytics and reporting.
• Write complex, high-performance SQL queries and optimize Snowflake workloads.
• Design and implement predictive models (regression, classification, forecasting, clustering).
• Develop, train, evaluate, and deploy machine learning models in production environments.
• Translate business requirements into analytics solutions and KPIs.
• Implement feature engineering, model validation, and performance monitoring.
• Collaborate with data engineers, data scientists, and business stakeholders.
• Ensure data accuracy, governance, and security across BI and analytics platforms.
• Automate analytics workflows and reporting pipelines.
• Mentor junior BI and analytics team members.

Required Skills & Qualifications

• 7+ years of experience in BI, analytics engineering, or data analytics roles.
• Strong expertise in Power BI:
  • DAX, Power Query (M)
  • Data modeling and performance optimization
• Extensive experience with Snowflake:
  • Query optimization and cost management
  • Secure data sharing
• Advanced SQL skills.
• Proficiency in Python or R for analytics and ML development.
• Hands-on experience with machine learning frameworks (scikit-learn, TensorFlow, PyTorch, or similar).
• Strong understanding of statistical analysis and predictive modeling techniques.
• Experience with ETL/ELT concepts and analytics engineering workflows.
• Familiarity with Git and CI/CD for analytics and ML solutions.
• Excellent communication and stakeholder management skills.