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.
