At a Glance
- Tasks: Transform data into insights and create impactful dashboards for decision-making.
- Company: Join a forward-thinking company dedicated to public-sector innovation.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with excellent career advancement potential.
- Why this job: Make a difference by enabling data-driven decisions in global public sectors.
- Qualifications: Strong SQL skills and experience with BigQuery and dbt are essential.
The predicted salary is between 50000 - 55000 £ per year.
Location: Hybrid, UK-based due to data handling and contractual constraints. 2 days per week onsite at our London office.
Visa sponsorship: UK national or visa holder preferred, but not a dealbreaker.
Background checks: Due to the non-partisan nature of the work we do with global governments and partners, all employees need to pass background checks, verifying your identity, education (if relevant), work history, sanctions, criminal record, adverse financial history, and right to work. To ensure we maintain high standards of political neutrality, we also perform media and social media checks.
You can expect to hear from us, no matter the outcome, by: 28th August 2026
Salary expectations: We aim for transparency on salary bands. We've set the band to attract experienced mid-level Analytics Engineers or those in a senior IC role. If our range is misaligned with your expectations, we’d welcome an open conversation as early as possible.
Role: Apolitical builds products for public-sector professionals worldwide. Our core product stack runs in a modern TypeScript mono-repo; our analytics stack centres on Google BigQuery, dbt (Core) for transformation, Airflow / Airbyte / GitHub Actions for orchestration and CI, ThoughtSpot for BI, and Colab/Jupyter notebooks for ideation and analysis. You’ll turn warehouse data into trusted, self-serve insights, define core metrics, and ship dashboards that unblock rapid, data-informed decisions across Product, Growth, Partnerships and Ops. You’ll be the go-to partner for stakeholders, owning the modelling layer, data quality, and the BI experience end-to-end, while contributing to our Airflow-based pipelines and data contracts that keep analytics reliable.
Tasks and remit:
- Model the warehouse: Design and maintain dbt models (incremental/snapshot), sources, tests, and documentation; enforce naming and folder conventions for scalable analytics.
- Define metrics & semantics: Establish a governed, reusable layer (semantic definitions / metrics catalog) so the same KPI means the same thing everywhere.
- Build business dashboards: Craft ThoughtSpot answers and dashboards for Exec, Product, Growth and Customer teams; automate refresh and distribution.
- Champion self-serve analytics: Craft intuitive star/galaxy schemas for data marts following best practices so analysts and non-technical team members can get what they need.
- Data quality & contracts: Add and maintain tests (dbt + Great Expectations), SLAs and alerting; evolve data contracts in version control and CI.
- Orchestrate & automate: Contribute Airflow DAGs for scheduled loads, dbt runs and backfills; improve observability, retries and alerts.
- Governance & privacy: Handle PII with care; partner with Eng/Legal on compliant data use and auditability across pipelines and BI.
- Stakeholder enablement: Run office hours, write playbooks, and create training resources that reduce ad-hoc analysis load.
- Incident readiness: Help operate and improve our backup/restore and environment-sync workflows to keep analytics resilient.
Timelines vary by onboarding needs, but most team members achieve the following:
Within one month, you will…
- Ship your first dbt model + tests to production and document it in the catalog.
- Publish a high-value dashboard (e.g., weekly growth or funnel view) consumed by one business team.
- Set up your Airflow/dev environment and complete stack onboarding.
Within three months, you will…
- Establish core metric definitions (e.g., activation, engagement, retention) with stakeholders; codify them in models and BI.
- Add quality alerts (dbt tests / Great Expectations) on critical tables; reduce false positives.
- Improve/author at least one Airflow DAG for dbt jobs or backfills; document runbooks.
Within six months, you will…
- Own a domain (e.g., revenue or content analytics) end-to-end with a trusted, self-serve dashboard suite.
- Cut time-to-insight for a key KPI by >50% via modelling and self-serve improvements.
- Propose and deliver a roadmap to evolve our semantic layer / contracts in CI.
About you: This is a great fit if you…
- Are an Analytics Engineer / BI Engineer with strong SQL and data-modelling fundamentals (star/snowflake, slowly changing dimensions, incremental patterns).
- Have hands-on experience with BigQuery + dbt Core (sources, macros, snapshots, documentation) and are comfortable reviewing SQL/PRs in Git.
- Can design effective dashboards in ThoughtSpot or other BI tools, balancing UX with performance.
- Understand orchestration (Airflow), testing (dbt tests / Great Expectations), and CI for analytics code.
- Communicate clearly with non-technical partners; you enjoy translating ambiguous questions into measurable metrics.
To highlight on your CV…
- Familiarity with Airbyte or other ingestion tools; Python for lightweight transforms; exposure to data contracts in CI.
- Prior work in a modern TypeScript/NodeJS/NestJS environment alongside product squads.
- A pure data scientist or ML researcher; this role focuses on analytics engineering (modelling, quality, BI, orchestration).
- A people manager; this is an IC role with broad cross-team influence.
Analytics Engineer employer: Apolitical
APOLITICAL is an exceptional employer that fosters a collaborative and innovative work culture, empowering employees to make a meaningful impact on global governance. With a strong focus on professional development, team members are encouraged to grow their skills and advance their careers while working in a dynamic environment that values diverse perspectives and strategic thinking. Located in a vibrant city, APOLITICAL offers unique networking opportunities and the chance to engage with influential stakeholders across various sectors.
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We think this is how you could land Analytics Engineer
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We think you need these skills to ace Analytics Engineer
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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