The Senior BI Analyst will play a key role in transforming complex data into actionable insights that drive strategic business decisions.
This role focuses on developing, optimizing, and managing internal dashboards and reports that track key business metrics and operational performance.
This person will collaborate closely with internal teams—such as Finance, Operations, People Analytics, and Delivery—to ensure high-quality insights and data accuracy across the organization.
Design, build, and maintain internal BI dashboards and reports to monitor company KPIs and operational performance.
Collaborate with cross-functional teams to gather business requirements and translate them into effective BI solutions.
Develop and optimize data models and ETL processes to ensure data consistency and accuracy.
Present insights and recommendations to senior leadership, supporting strategic and operational decisions.
Implement best practices in BI design, data governance, and process automation.
Support internal initiatives by providing analytical expertise and data visualization capabilities.
Manage multiple internal BI projects end-to-end, ensuring timely delivery and stakeholder satisfaction.
Requirements
Proven experience designing and delivering internal BI solutions from concept to implementation.
Proficiency in Power BI (additional experience with Tableau, Qlik, etc. are nice to have).
Advanced SQL in Snowflake: Ability to write complex queries using CTEs, window functions, and aggregations, with a focus on optimizing queries for reporting workloads.
Data Modeling for BI: Understanding of star schema and dimensional modeling, and experience creating fact and dimension views in Snowflake to build reporting-friendly datasets.
Snowflake Objects: Familiarity with key Snowflake components such as tables, views, materialized views, stages (basic knowledge), warehouses, and basic role-based access control (no deep infrastructure knowledge required).
Performance Optimization: Experience with query tuning, awareness of clustering/partitioning, minimizing scan costs, and leveraging result caching.
DAX and experience using tools like Tabular Editor and DAX Studio.
Experience with data modelling (e.g., Kimball) and managing enterprise-level reporting environments.
Excellent communication skills to translate analytical findings into actionable business insights for non-technical stakeholders.
Strong attention to detail, organization, and documentation.
Experience with cloud environments (e.g., Azure, AWS), large data sets, and internal data governance processes are nice to have.
Advanced English proficiency required.
Tech Stack
AWS
Azure
Cloud
ETL
SQL
Tableau
Benefits
📚 Learning Opportunities: Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.
Access to AI learning paths to stay up to date with the latest technologies.
Study plans, courses, and additional certifications tailored to your role.
Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.
English lessons to support your professional communication.
👩🏫 Mentoring and Development: Career development plans and mentorship programs to help shape your path.
🎁 Celebrations & Support: Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.
Company-provided equipment.
⚖️ Flexible working options to help you strike the right balance.
Other benefits may vary according to your location in LATAM.