Hybrid Analytics Engineer

Posted last week

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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

Job title

Analytics Engineer

Job type

Experience level

Mid levelSenior

Salary

£53,000 - £57,000 per year

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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