Design and implement data analytics solutions using Power BI, Snowflake, and machine learning frameworks. Develop and optimize data models, queries, and workflows. Collaborate with stakeholders to deliver insights and drive business decisions.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
Duration - 9 months
Location - 100% remote - EST hours
LinkedIn should be created before 2020 and should be verified - no google voice number
Sr. BI Analytics Engineer
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Experience:
- 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: Analytics data modeling, 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.
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