Staff Data Analyst (Driver Squad)

Company: Pale Blue Dot
Apply for the Staff Data Analyst (Driver Squad)
Location: London
Job Description:

Staff Data Analyst (Driver Squad)

London – Shoreditch, Hybrid

Overview

We are looking for a Staff Data Analyst to drive business outcomes through impactful analytics within our Driver Squad. You will translate business context and complex analytics into actionable insights, collaborate across Product, Tech, Data, Operations and Finance stakeholders and embed yourself in a cross‑functional squad.

Responsibilities

  • Uncover business and product opportunities through robust analytics, translating technical insights with clarity for any audience.
  • Shape data‑driven decision‑making across your squad and the wider operation; develop actionable performance metrics that move the needle.
  • Measure the impact of ongoing initiatives and innovations.
  • Build powerful data models and products that deliver actionable insights to your teammates.
  • Line‑manage 1–2 Analytics (Engineering) professionals: empower them through clear feedback, meaningful coaching and leading by example.
  • Raise the bar: role‑model analytical rigour and smart pragmatism to shape analytics excellence across the company.

Your profile

  • 5+ years of experience in a similar analytics, analytics engineering, business intelligence or data science role.
  • Experience line managing or mentoring other data professionals.
  • A passion for clean, efficient and meaningful SQL queries and Python notebooks.
  • Previous experience using modern BI tools (Looker + LookML).
  • AI‑savvy to scale yourself and your impact.
  • Deeply outcome‑focused with an analytical mind and the necessary pragmatism to balance rigour with speed.
  • A high‑energy and bold communicator who enjoys collaborating across teams from different functions.

Technologies we use

  • Analytics: Looker, Data Studio, Python notebooks and geospatial analytics tools
  • Programming languages: Python, SQL
  • Data transformation and data quality: dbt, pandas/ polars, data‑diff, Elementary
  • Core data platform: Dagster, dlt and Airbyte, BigQuery, Lakehouse for Iceberg
  • Infrastructure: Cloud Run, Cloud Storage, GKE (Google Kubernetes Engine), Terraform

Our interviewing process

  1. Intro call
  2. SQL live coding task (real, anonymised data in a SQL editor)
  3. Analytics take‑home task and review
  4. On‑site interview at our Shoreditch HQ (role and culture)

How we reward our team

  • Dynamic hybrid working environment with a diverse and driven team
  • Huge opportunity for learning in a high growth environment, with progression opportunities based on success in the role
  • 25 days of holiday allowance plus public holidays
  • Birthday Day Off + Tenure‑Based Additional Days Off
  • Subsidised Private Medical Insurance including dental, vision & mental health therapy
  • Bi‑annual performance reviews and tailored development plans
  • Competitive salary + EMI options scheme
  • Annual compensation review
  • Team lunch provided once a week
  • Quarterly team socials and annual sports day (HIVED Olympics)
  • Enhanced maternity/paternity/adoption policy as day 1 right
  • Community volunteer days
  • Cycle to work scheme
  • Dog‑friendly office and depots
  • MacBook Air or Windows laptop (depending on your preference)

#J-18808-Ljbffr…

Posted: June 2nd, 2026