Location: London or South America
Experience: 3+ years experience in a similar role.
The role:
Gaia is building the category-defining family building company. We are looking for a company-wide Data Analyst to serve as the analytical spine of the company, turning data into insights to better inform decisions across Product, Growth, Operations, and Finance.
This is a high-impact, hands-on role. You will own Gaia’s source of truth, proactively surface insights, and raise the bar on how the company uses data to operate, prioritize, and scale.
What will you own?
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 modelled
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
Who are we looking for?
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.
Comfortable with our current data stack of Python, SQL, dbt, Prefect, Omni (or a similar BI tool) and Fivetran
You are data curious, and won’t hesitate to challenge business decision 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
Technical competencies Essential
SQL
Familiarity with any modern bi tool: Omni, Looker, Metabase, Tableau etc
Excel
Python
Nice to haves
dbt
data warehouse experience: snowflake, big query, redshift, databricks etc
Use of data extractions tools: fivetran, air byte, stitch etc
Use of data orchestration tools: Airflow, Prefect, Dagster etc
Familiar with hubspot
What success looks like
High data richness, quality and accuracy
Consistent metrics used to make decisions
Faster, higher-quality decisions across Product, Growth, Finance and Operations
Clear visibility into funnel health, unit economics, and operational leverage
Fewer surprises, earlier course-correction
How do we work:
We move fast and ship several times a day
We collaborate closely with business functions and tech early and frequently
We use a modern data stack
We keep things simple while always ready to embrace the latest technologies when relevant
