Analytics Engineer
Job in
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-01-27
Listing for:
Femtech Insider Ltd.
Full Time
position Listed on 2026-01-27
Job specializations:
-
IT/Tech
Data Analyst, Data Science Manager, Data Engineer, Business Systems/ Tech Analyst
Job Description & How to Apply Below
Location
London
Employment TypeFull time
Location TypeHybrid
DepartmentTech
Compensation- London £53K – £57K
• Offers Equity - Brazil $32K – $57K
• Offers Equity
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?
- 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
Who are we looking for?
- Former Growth, Ops, or Biz Ops 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
Compensation Range: £53K - £57K
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