Analytics Engineer (London)

The role

As our dedicated data analyst, 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 modeled & 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 visualization 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 modeling
• 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)