Analytics (BI) Engineer

LATAM. Posted a month ago

The role

This person will build and maintain business reports in BI tools and perform modeling and transformation with large datasets. They will support ongoing reporting and data engineering needs.

What you will do

Develop, modify, and maintain dashboards and reports in PowerBI, Tableau and Databricks AI/BI.
Translate business requests 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.
Perform data modeling and transformation tasks.
Troubleshoot data discrepancies and validate data accuracy across systems.
Collaborate on improvements to data structure and warehouse organization.
Lead business interactions, define standards, document KPIs, and support junior team members.

Required qualifications

4+ years of related experience in analytics/BI and data engineering.
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.
Bachelor’s Degree in Computer Science or Engineering related field.

Benefits

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.

About the company

SunnyData's mission is to help customers in their data journey to power their business. They focus on scalable architectures, robust data engineering pipelines, simple data consumption layers and accurate ML and AI applications.