
Data Analyst with 2 years of experience analysing customer and product data within the modern analytics stack, including SQL, Google BigQuery, Excel, Tableau and Power BI. Skilled in transforming complex datasets into clear insights through dashboards, experimentation analysis and stakeholder reporting.
Led a reactive analysis of acquisition performance that directly informed the re-introduction of a core news section, resulting in a 37% increase in customer acquisitions.
Delivered a proactive retention dashboard, establishing retention as a newly tracked KPI and unlocking deeper, ongoing insight into customer behaviour and lifecycle performance.
Analysed, and reported on A/B tests across the customer lifecycle, helping define success metrics and interpret results.
Built dashboards, insight packs, and regular reporting, translating complex analysis into clear recommendations for non-technical stakeholders.
Used SQL to extract, analyse, and manipulate data, collaborating closely with senior analysts, data scientists, and stakeholders across marketing, product, and finance.
Produced sales reports through Power BI in order to deliver weekly actionable insights and drive strategic decisions in trade meetings.
Led comprehensive sales analysis using Excel pivot table techniques to identify top-performing SKUs, resulting in 17% above-target revenue growth across Q3-Q4.
Led systematic price management for over 500 SKUs, implementing rigorous quality control processes.
Analysed product and store-level sales data to identify demand patterns and optimise stock distribution across locations.
Facilitated the onboarding and training of new staff.
Spearheaded market research and strategic analysis for new store expansion, presenting key findings and recommendations to the senior P&O leadership team.
Conducted store visits and performed a comprehensive SWOT analyses for informed decision making.
Conducted in-person household interviews and administered questionnaires to ensure the accuracy and completeness of 2021 Census data.
Applied strong verbal communication skills to engage respondents, achieving a high response rate and maintaining data quality.
Programming & Data: SQL, R
Data Visualisation & BI: Domo, Power BI, Tableau
Analytics & Data Platforms: Adobe Analytics, GA4, Big Query, Piano, Braze
Tools: Excel (Advanced), PowerPoint