Build, maintain, and optimize dashboards and reports using BI tools (Power BI, Tableau, Looker, Data Studio).
Consume processed data in Databricks, ensuring data quality, consistency, and integrity.
Create and document analytical models and metrics directly connected to the Lakehouse (Databricks).
Collaborate with data engineers to support the construction of ETL/ELT pipelines within Databricks.
Perform exploratory analysis on large volumes of data, leveraging Spark SQL capabilities in Databricks.
Monitor report performance, optimizing queries and data models.
Work with stakeholders to translate business needs into integrated BI solutions connected to the unified data hub.

Bachelor’s degree in Computer Science, Data Engineering, Statistics, or related fields.
Experience with cloud platforms (Azure, GCP, AWS, OCI) focused on analytics.
Experience with BI tools such as Power BI, Tableau, Metabase, and others.
Proficiency in SQL and experience handling large volumes of data.
Experience in data analysis and report development.
Ability to understand the business and translate it into BI solutions.
Python knowledge preferred.
Knowledge of ETL/ELT tools integrated with Databricks.
Experience processing unstructured data (logs, JSON, streams).
Technical proficiency in English.

50% coverage for prescription medications and 100% coverage for medications related to women’s health.
Totalpass
Conexa Saúde: online therapy
Personalized meal plans
Wellness check-up: assess your physical and mental health
Physical and mental wellness content
Platform with over 3,500 video classes across various exercise modalities
Commitment to diversity
No dress code (wear your shorts whenever you want!)
Bridge days for all holidays
Birthday day off
Lots of fun (we love a party!)

Data Analyst III

Key skills