Analyst with 3+ years’ experience applying data science and analytics across healthcare and EdTech. Proficient in Python, R, and SQL, with strong experience building reproducible analytics (R Markdown), performant data p…
Analyst with 3+ years’ experience applying data science and analytics across healthcare and EdTech. Proficient in Python, R, and SQL, with strong experience building reproducible analytics (R Markdown), performant data pipelines (SQL Server), and decision‑ready dashboards (Power BI). Track record of collaborating with clinical and product teams to turn complex datasets into actionable insights.
Promoted from Graduate Data Analyst in Jul 2024
Analyse large-scale NHS and industry datasets with a focus on COPD/asthma research and service improvement
Build reproducible analytics in R Markdown for automated COPD reporting and audit workflows
Write advanced SQL Server queries to extract, link and validate complex clinical data at scale
Develop Power BI dashboards for clinicians and stakeholders to support data-informed decisions
Use Python/R for data wrangling, statistical analysis, and visualisation to support clinical decisions
Manage and validate clinical data in REDCap, maintaining accuracy and governance compliance
Track and prioritise work in JIRA
Collaborate across technical and clinical teams
Analyse large‑scale NHS and industry datasets with a focus on COPD/asthma research and service improvement., Build reproducible analytics in R Markdown for automated COPD reporting and audit workflows., Write advanced SQL Server queries to extract, link and validate complex clinical data at scale., Develop Power BI dashboards for clinicians and stakeholders to support data‑informed decisions., Use Python/R for data wrangling, statistical analysis, and visualisation to support clinical decisions., Manage and validate clinical data in REDCap, maintaining accuracy and governance compliance., Track and prioritise work in JIRA; collaborate across technical and clinical teams.
Analysed original and archived content to reach a ~2M audience within six months
Contributed to a 10% sales uplift through data-driven content and trend evaluation
Applied Python/NLP to customer reviews to identify sentiment and themes
Insights informed content changes and increased average review rating from 3.8 to 4.1
Built automated KPI tracking in Excel/Google Sheets, improving data hygiene and operational visibility
Delivered interactive Power BI dashboards to communicate insights and improve decision-making
Partnered with leadership on product usage insights supporting a $4.1M pre-seed round
Analysed original and archived content to reach a ~2M audience within six months and contributed to a 10% sales uplift through data‑driven content and trend evaluation., Applied Python/NLP to customer reviews to identify sentiment and themes; insights informed content changes and increased average review rating from 3.8 to 4.1., Built automated KPI tracking in Excel/Google Sheets, improving data hygiene and operational visibility., Delivered interactive Power BI dashboards to communicate insights and improve decision‑making., Partnered with leadership on product usage insights supporting a $4.1M pre‑seed round.
Produced a content strategy (100+ assets) with clear learning objectives to improve student outcomes
Managed budgets and timelines
Delivered a product launch 15% under budget with +21.5% customer satisfaction
Collaborated with a 10+ sales team to translate SQL/BI insights into actions that increased revenue
Coordinated cross-functional work on an authentication-as-a-service platform
Improved auth success by 34%
Produced a content strategy (100+ assets) with clear learning objectives to improve student outcomes., Managed budgets and timelines; delivered a product launch 15% under budget with +21.5% customer satisfaction., Collaborated with a 10+ sales team to translate SQL/BI insights into actions that increased revenue., Coordinated cross‑functional work on an authentication‑as‑a‑service platform, improving auth success by 34%.
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