Peter Shatwell

Data Analyst @Apolitical

London, GB
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WORK HISTORY

Jun 2024 — Present

Data Analyst @Apolitical

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London, GB

Apolitical is the world\'s largest network for government (500k+ members), equipping the world\'s public servants to address critical challenges from AI to climate.As the company’s sole Data Analyst in a two-person data team, I:• Led a full-stack analytics engineering project for Apolitical\'s flagship AI Readiness Check (ARC) tool, building 15 dbt models with full documentation and data tests, powering a self-serve dashboard used daily by leadership.• Engineered automated KPI monitoring systems for multimillion-dollar grants (Google.org, BEF), collecting engagement metrics across the platform. Built pipelines in Python and SQL, and connected to Google Sheets and Slack to deliver automated updates directly into stakeholder channels.• Designed and productised a standard automated reporting framework adopted across government training deliveries company-wide, saving approx. 200 hours a month in report-writing time.• Built the company\'s primary sales performance dashboard for the C-Suite, directly informing multimillion-dollar funding rounds and investor reporting.• Designed, built, and maintained self-serve analytics dashboards across the company, growing monthly active usage from 30% to 75% of all employees (90+) within one year.• Managed an online data skills community of public servants, ranking in the top 5 out of 60+ communities on the platform, driving engagement through regular tips and resources.

EDUCATION

2016 — 2017

University of Reading

MRes, Applied Mathematics

2016 — 2017

Imperial College London

MRes DIC, Applied Mathematics

2017 — 2022

Imperial College London

Doctor of Philosophy - PhD, Physics

2012 — 2016

Imperial College London

MSci ARCS, Physics

ABOUT PETER SHATWELL

Data Analyst / Analytics Engineer focussed on building trustworthy analytics foundationsI design reliable data models and semantic layers that enable teams to answer questions consistently, without ad-hoc analysis or analyst bottlenecks. Former physicist (PhD) with 5+ years’ experience across GovTech, Education, E-commerce, and Science. Known for precision, clear definitions, and communicating complex findings clearly to non-technical audiences.Core stack: SQL, dbt, Python, BigQuery, ThoughtSpot

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