Analytics Engineer Sr developing data pipelines and analytics solutions for Brazil's retail industry. Collaborating with marketing and product teams to optimize data usage and performance.
About the role
- Live Operations Analytics Engineer crafting data products to drive Glovo's business. Leveraging data insights and innovative solutions while collaborating across teams.
Responsibilities
- Develop data pipelines and optimize data pipelines: data ingestion from transactional sources and APIs, data transformation with dbt, and workflow orchestration with Airflow
- Model and structure data: Build maintainable data models, including fact tables and slowly changing dimensions, to support analytics and reporting needs.
- Understand the operations model in Glovo to provide data and analytical advice to the different teams, connecting data to business
- Design user-friendly dashboards and LookML models to enable stakeholders to explore and analyze data effectively.
- Stay up to date with the latest data technologies, methodologies, and industry best practices. Experiment with new tools
- Continuously work on improving our data quality
Requirements
- Bachelor in Computer, Data Engineering or similar
- 2+ years of experience working on data analytics or data engineering
- Demonstrated proficiency with Python, SQL (querying large volumes of data), and pipelines orchestration
- Knowledge of data modeling and schema design
- Experience with test automation (data testing, unit and system integration testing)
- Eagerness to work closely with business stakeholders and communicate complex data topics to non-technical stakeholders
- Strong analytical skills, problem-solving and critical thinking skill
- Experience with cloud technologies (GCP, AWS) and data visualization tools (e.g. Looker, Tableau, Power BI)
- Ability to collaborate effectively with cross-functional teams
- Professional English.
Benefits
- An enticing equity plan that lets you own a piece of the action.
- Top-notch private health insurance to keep you at your peak.
- Monthly Glovo credit to satisfy your cravings!
- Discounts on transportation, food, and even kindergarten expenses.
- Discounted gym memberships to keep you energized.
- Extra time off, the freedom to work from home two days a week, and the opportunity to work from anywhere for up to three weeks a year!
- Enhanced parental leave, and office-based nursery.
- Online therapy and wellbeing benefits to ensure your mental well-being.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Senior SAP Data Solutions Engineer designing and implementing data solutions in SAP environments. Contributing to SAP migrations and collaborating with cross - functional teams for project success.
Analytics Engineer creating data products that meet various business needs for the fintech company Stone. Responsible for data pipelines, monitoring, and ensuring data quality.
Design and optimize scalable data pipelines and models for terabyte - scale datasets. Collaborate with stakeholders to ensure data quality, governance, and actionable analytics.
Senior Analytics Engineer developing high - volume applications for data analytics at dLocal. Collaborating with a global team in the fintech industry to enhance payment collection solutions.
Network Analytics Engineer at TIM managing network performance indicators and ensuring data reliability for decision making and customer experience improvement.
Analytics Engineer crafting advanced data models using BigQuery and Snowflake for Dasa. Collaborating in a dynamic environment to innovate healthcare solutions for millions.
Senior Data & Financial Analytics Engineer at Pliant turning complex financial data into scalable insights. Collaborating with Finance and leadership to ensure reliable financial metrics.
Analytics Engineer analyzing and visualizing data for orthodontic treatments at DentalMonitoring. Collaborating closely with teams to provide insights and support data - driven decisions.
Analytics Engineer improving data processes at Zaha Hadid Architects. Developing scalable ELT/ETL pipelines and collaborating across teams for data - driven decision - making.