Key skills
BigQueryCloudETLGoogle Cloud PlatformPythonSQLNoSQLRMachine LearningData EngineeringGCPGoogle CloudCommunication
About this role
Role Overview
- Analyze complex data and extract insights that create value for the business and customers
- Develop reports, dashboards, and data visualizations to communicate results
- Identify trends, patterns, and anomalies in data to support strategic decision-making
- Collaborate with data engineering teams to ensure data quality, integrity, and accessibility
- Create and document performance metrics and key indicators to monitor processes
- Support the definition of requirements and specification of data-driven solutions
- Conduct feasibility studies and impact analyses of proposed solutions
- Communicate analytical findings clearly and concisely to diverse stakeholders
Requirements
- Degree in Engineering, Mathematics, Statistics, or a related field
- Proficiency in Python
- Experience in data analysis and generating actionable insights
- Experience in manipulating and querying SQL and NoSQL databases
- Strong communication skills to interact with stakeholders and translate business requirements into analytical solutions
- Experience with statistical modeling or machine learning
- Experience in the healthtech sector (preferred)
- Knowledge of ETL tools (preferred)
- Familiarity with Google Cloud (GCP) and BigQuery (preferred)
Tech Stack
- BigQuery
- Cloud
- ETL
- Google Cloud Platform
- Python
- SQL
Benefits
- 13th salary: prorated based on months worked during the year
- Paid vacation: 22 business days
- One-third additional vacation pay
- Bradesco Saúde National II (TNMI) health plan
- Meal/Food allowance: R$1,080 via Flash
- Access to Wellhub (Gympass)