Junior/Senior Business Intelligence Analyst (Analytics Engineer)

What you’ll Do:

• Design & Implement Data Models (Star Schema / Snowflake Based) to support reporting and analytics.
• Optimize Reporting Performance by building aggregation models and improving compute efficiency.
• Enable Self-Service Analytics by making data accessible and easy to query for business users.
• Ensure Data Quality & Validation through unit testing and implementation of validation rules.
• Collaborate with Data Engineers (DE) to ensure the availability and quality of required data sources.
• Define Data Requirements for DE by specifying the necessary data structures and transformations needed for analytics and modeling.
• Work with Cross-Functional Teams to gather reporting requirements and provide well-structured data solutions.

What you’ll Need: 

• Strong proficiency in SQL, Python, and Git.
• Hands-on experience with Airflow, DBT, and data transformation tools.
• Experience in optimizing reports and dashboards for better performance.
• Knowledge of data validation, unit testing, and error handling in data pipelines.
• Ability to understand business requirements and translate them into efficient data models.
• Ability to collaborate with Data Engineers to ensure smooth data integration and availability.

It’d be great if you have: (If any) 

• Experience with BI tools (Looker, Tableau, Power BI, etc.).
• Familiarity with ETL pipelines and cloud data warehouses (BigQuery, Snowflake, Redshift).
• Understanding of SLA management for data execution & reporting.