Analytics Engineer
Gaia
Our Story
At Gaia, we’re on a mission to make IVF more accessible for more people. With a better way to pay for treatment, a backup plan if it doesn’t work, one-on-one support along the way, and access to a community that just gets it, we’re here to offer the IVF experience we wish we’d had. We believe that everyone who wants a family should have the chance to try.
Gaia is a revolutionary way to manage the financial toll and risk associated with fertility treatments. Members begin a new cycle for as little as an upfront protection fee, and only pay for their treatment when they have a child — nothing if they don’t. Each plan is personalized and underpinned by a proprietary clinical model predicting treatment outcomes. Launched in 2022 in the UK, Gaia has been recognized in Bloomberg, Wired, and FastCo.
Our Company Values
Because we’re building in an extraordinarily complex space, we need to be unapologetically demanding and single-minded in the pursuit of our goals, while going out of our way to support people. Four values drive everything we do at Gaia:
Them, not you: Do right by our members, be kind, and take one for the team.
Drive or get out of the way: Identify problems, take initiative, and step out of your lane.
When in doubt, be brave: It’s the only way to bring about change.
Be extraordinary at what you do: Pursue your craft with excellence and seriousness.
The role
As our dedicated analytics engineer, you will be responsible for the delivery and usage of the data pipeline. You will have ownership around how the data is modelled and how much value it delivers in the company will ultimately depend on you.
You will work closely with engineering and team leads to both excel at data modelling but also provide and support data insights across the company. Your ultimate expertise will help Gaia take better, faster decisions.
What you will own
You will own and work on Gaia’s data analytics pipeline:
- Working with the engineering and product teams to make sure your data requirements are taken into account before any development work happens
- Working with the engineering team to ingest the data and think through how to best model it to a consumable, sensible format and surface it in our BI
- Maintaining the data pipeline - with the relevant monitoring in place to ensure it runs smoothly, daily. This includes testing the data and monitoring these tests. You will also work closely with our data engineer to implement new solutions or updates to our current stack.
- Work with our data engineer to support specific data flows built around the data warehouse (reverse ETL to our CRM, Ads platforms, ingesting custom data…)
Our stack: dbt + Fivetran + Prefect + Snowflake + Omni
You will also work closely with the rest of the company to:
- Ensure the relevant data is shown in the self-serve BI. You will work with different team leaders to deeply understand their areas of focus and ensure the right data is properly modelled & documented so that they can make the most of it to inform their decisions
- Ensure teams across Gaia are trained and capable in getting the most out of the BI. This includes developing best practices and tips on how to use Omni, sharing good visualisation techniques, and being a thought-partner on measuring the performance of a product release.
You’ll be a great candidate if
- You have worked in the past in a similar role within a data team and are fully comfortable around Github and collaborating around dbt. As such you have good experience writing any variant of SQL.
- You are comfortable with Python in the context of data modelling.
- You’ve got experience working both with software engineers and business owners ; being able to adapt in how you discuss your work. You understand the trade-offs that engineers might face when architecting the data you consume and you are able to match your needs with their requirements.
- You are data-curious: you will help us refine how we model our data to best answer questions 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 and help answer difficult question, but you are also comfortable with quickly getting to a first answer without iterating too many times.
Salary + Benefits offering
- £60K - £80K (depending on experience)
- Equity
- Private Healthcare - Vitality
- Fertility Support
- Pension - SMART
- Professional Development budget - £1000 per year
- Workplace Nursery Benefit
- Hybrid working environment - 3 days in the office (Westbourne Park)
Diversity and Inclusion
At Gaia, we believe Diverse and Inclusive teams make better products, more successful businesses and help us to be better people.
Gaia counts 38 employees spanning 10+ different nationalities. Gaia’s board of directors is composed of founder Nader AlSalim and 2 women — from Kindred Capital and Leila Zegna from KindredCapital and Terese Hougaard. Women are also well represented at the company’s C-suite level (COO, CMO, Chief of Staff) and within Gaia’s data and engineering team, a traditionally male dominated field.
We strive to create an organisation that welcomes people and does not discriminate based on race, ethnicity, colour, ancestry, national origin, religion, sex, sexual orientation, gender identity, age, disability, veteran status, genetic information, marital status or any other legally protected status.
If you’re eager for a challenge, want to get stuck in and you're ready to make an impact on other people’s lives, apply! We aim to respond to all applicants within 1-2 weeks. There is no deadline for the application, the role will be live until filled.