BI Analytics Engineer

Senior Bi Analytics Engineer

We are looking for a Senior BI Analytics Engineer with strong expertise in Power BI, Snowflake, predictive analytics, and machine learning development. The ideal candidate will bridge business intelligence, advanced analytics, and data science to deliver actionable insights, scalable analytics solutions, and predictive models that drive business decision-making.

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.