Senior Business Analytics Engineer
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Job Description
Business Analytics Engineer developing analytics-ready datasets and BI-focused data models at ISHIR. Collaborating with BI teams to ensure data quality, performance, and reliability in analytics solutions.
Responsibilities:
- Design and develop analytics-ready datasets optimized for BI consumption
- Build and maintain BI-focused data models (facts, dimensions, star/snowflake schemas) to support BI semantic models
- Define, document, and govern business metrics and calculations
- Develop transformations and analytical models using dbt and Python
- Leverage existing SQL Server and AWS data warehouse data to create trusted analytical data sources
- Write, debug, and maintain Python-based data transformation and analytics logic independently
- Partner with BI and business teams to ensure accurate, consistent, and well-defined data structures
- Analyze and reverse-engineer existing datasets or reports to diagnose data or metric inconsistencies
- Ensure data quality, performance, scalability, and reliability of analytical models with minimal dependency on other engineers
Requirements:
- 8+ Years of experience
- Advanced SQL Server expertise with strong analytical SQL skills
- Strong, hands-on Python experience for data transformation, analytics engineering, and problem solving
- Strong experience with dbt for analytics engineering and data transformations
- Hands-on experience with BI data modeling (relationships, measures, performance optimization)
- Solid understanding of data warehousing and dimensional modeling concepts
- Working knowledge of AWS data engineering services (Redshift, S3, Glue, data pipelines)
- Databricks experience is a plus and can be learned quickly by candidates with strong Python skills
- Ability to work independently and deliver end-to-end analytical solutions without heavy reliance on others.
Benefits:
- Advanced training opportunities
- Opportunities for applying knowledge to real business solutions
- Collaborative work environment
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