Quentin Sorel

Experienced Analytics Engineer, skilled in managing the full data lifecycle, from ingestion to delivering actionable insights. Passionate about driving strategic decision-making by building scalable, reliable data solutions that empower self-service analytics.

Analytics Engineer at Simple Online Healthcare (2025-10 – Present)

One of UK's leading pharmacies specialising in weight loss

• Data modelling: Designed a layered dbt architecture to deliver scalable and maintainable analytical models.
• Collaboration: Partnered with cross functional stakeholders to translate business questions into actionable insights and improve decision-making.
• Self-service: Defined centralised KPIs and implemented semantic layers to provide a single source of truth and reduce dependency on ad-hoc analysis.
• Reliability: Introduced testing frameworks, freshness checks and CI/CD workflows to improve trust in data products.
• Data operations: Managed ingestion and orchestration through Airbyte and Airflow to ensure timely data availability.
• Analysis & Experimentation: Conducted complex analyses and A/B tests to identify user friction points and optimise customer journeys.
• Productivity: Automated analytical workflows using Python and AI tools to accelerate development and insight generation.

Analytics Engineer at MyTutor (2024-01 – 2025-08)

UK's most trusted online tutoring platform

• Data modelling: Developed and maintained dbt pipelines supporting analytics.
• Visualisation: Built dashboards enabling teams to monitor KPIs and performance.
• Enablement: Trained teams on self-service analytics principles and best practices.
• Optimisation: Improved high-usage SQL queries and optimised pipelines to increase efficiency and reduce costs.
• Tracking: Owned product tracking through Snowplow, including event design, schema governance and data quality standards.
• Prediction: Developed LTV and retention models to guide acquisition strategy and marketing investment.

Senior Data Analyst at Crowdcube (2022-01 – 2023-12)

Leading equity crowdfunding platform in Europe

• Reporting: Automated reporting processes and developed KPI dashboards for business stakeholders.
• Funnel analysis: Analysed the end-to-end investment journey to identify friction points and optimisation opportunities.
• Business partnering: Produced insights and recommendations to support Product, Marketing and Operational decision-making.
• Process improvement: Identified bottlenecks within fundraising processes and recommended operational enhancements.

Data Analyst at Lightfoot (2019-10 – 2021-11)

Telematics company assisting fleets to reduce CO2 emissions

• Automation: Automated manual reporting workflows using SQL and Python to improve operational efficiency.
• Dashboarding: Built dashboards and analytical tools for commercial and operational stakeholders.
• Operational insights: Analysed fleet and driver data to uncover opportunities for efficiency improvements and customer value creation.

MSc in Applied Mathematics – Université Claude Bernard - Lyon (2016 – 2018)

BSc in Mathematics – Aix-Marseille Université (2013 – 2016)