Develop, modify, and maintain dashboards and reports in BI tools such as PowerBI, Tableau and Databricks AI/BI.
Translate business requests (submitted via ticketing system) into accurate and actionable data visualizations.
Ensure consistency in definitions, metrics, and data logic across reports.
Optimize queries and dashboards for performance and clarity.
Document logic and assumptions behind key metrics and dashboards.
Create and maintain database views, derived tables, and other analytical objects to support reporting needs.
Proven work in dashboard engineering projects, with a focus on storytelling and usability.
Perform data modeling and transformation tasks to ensure reliable downstream reporting.
Troubleshoot data discrepancies and validate data accuracy across systems.
Collaborate on improvements to data structure and warehouse organization when needed.

Strong SQL proficiency (advanced querying, joins, CTEs, aggregations, window functions).
Hands-on experience with cloud based data warehouse.
Experience building dashboards and reports in BI tools such as Looker, Tableau, Power BI.
Ability to interpret business requirements and translate them into technical solutions.
Strong attention to detail and data validation practices.
Profile oriented toward leading business interactions, defining standards, documenting KPIs and reports, optimizing large data models, and supporting more junior team members.

Innovative Environment: Work with cutting-edge technologies and industry leaders in data engineering and AI.
Customer Impact: Make a real difference in how businesses leverage data for strategic decision-making.
Career Growth: Opportunities for professional development and career advancement.
Collaborative Culture: Join a supportive team that values collaboration and knowledge sharing.

Analytics Engineer, BI

Key skills