About the job
Business Intelligence (BI) Analytics Engineer
At SunnyData, we are dedicated to guiding our clients on their data journey, equipping them with the tools to enhance their business outcomes. We believe that a robust foundation is essential for achieving exceptional data-driven results through highly scalable architectures, resilient data engineering pipelines, intuitive data consumption layers, and precise machine learning (ML) and artificial intelligence (AI) applications. We are currently looking for a Business Intelligence (BI) Analytics Engineer to assist with ongoing reporting and data engineering requirements. This position will be pivotal in developing and maintaining business reports across various BI tools and will involve modeling and transforming vast datasets.
An proactive approach, excellent communication skills, and the ability to work collaboratively with cross-functional teams are essential for success in this role.
Your Impact
1. Business Intelligence & Reporting
Design, update, and maintain dashboards and reports using BI tools such as PowerBI, Tableau, and Databricks AI/BI.
Convert business requests (submitted via the ticketing system) into precise and actionable data visualizations.
Ensure uniformity in definitions, metrics, and data logic across all reports.
Enhance queries and dashboards for improved performance and clarity.
Thoroughly document the logic and assumptions underlying key metrics and dashboards.
2. Data Engineering & Data Modeling
Demonstrate advanced SQL expertise and proven ability to write and optimize SQL queries.
Develop and maintain database views, derived tables, and other analytical structures to facilitate reporting needs.
Proven experience in dashboard engineering projects, emphasizing storytelling and usability.
Conduct data modeling and transformation tasks to ensure dependable downstream reporting.
Identify and resolve data discrepancies while validating data accuracy across systems.
Collaborate on enhancements to data structure and warehouse organization as necessary.
3. Deliverables & Success Metrics
Deliver accurate, well-documented dashboards within agreed SLAs.
Create clean, reusable SQL objects to support long-term reporting needs.
Enhance clarity and consistency in metric definitions.
Minimize back-and-forth on reporting requests through improved clarity.

