Data Engineering Specialist at Dasa, optimizing data architectures for a leading health network in Brazil. Focused on innovation and technical excellence in data management.
About the role
- Data Analyst transforming data into actionable insights for decision-making across Product, Growth, Operations, and Finance at Gaia.
Responsibilities
- Company-wide analytics and source of truth data for our BI tool
- Responsible for the delivery and usage of the data pipeline, including how the data is modeled
- Own and maintain core dashboards and metrics
- Ensure data is accurate, trusted and decision ready through daily monitoring - this includes data backfill when needed
- Define and evolve the metrics used to run Gaia
- Surface leading indicators
- Partner with product and engineering to ensure data requirements are taken into account before development work happens, defining the right questions, surfacing insights and supporting decision making
- Modelling, monitoring, experimenting and forecasting
Requirements
- 3+ years experience in a similar role
- Comfortable with our current data stack of Python, SQL, dbt, Prefect, Omni (or a similar BI tool) and Fivetran
- SQL
- Familiarity with any modern bi tool: Omni, Looker, Metabase, Tableau etc
- Excel
- Python
- Former Growth, Ops, or BizOps analysts who want to move closer to real decisions and accountability
- Analysts who have sat in high-velocity teams to understand funnels, unit economics, trade-offs, and constraints.
- You are data curious, and won’t hesitate to challenge business decisions with relevant insights
- You know how to balance speed and thoroughness - you like going down data rabbit holes to deeply understand a problem but also know when to make do with available data to make quicker decisions when needed.
Benefits
- Offers Equity
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