London Area, United Kingdom
(Authorized to work in the UK based on HPI Visa) I'm a Data Analyst with 5+ years of experience across healthcare, fintech, and marketing, specializing in translating complex, often messy data into insights that drive strategic business decisions. My work sits at the intersection of data, product, and business. I partner closely with Product, Operations, and Customer Success teams to define KPIs, scope analytical problems, and deliver findings that stakeholders can actually act on. I take ownership of the full analytical lifecycle, from understanding what the business needs, to ensuring the underlying data is reliable enough to trust, to communicating results clearly to both technical and non-technical audiences. I actively leverage AI and LLM-based tools to sharpen my analytical workflows, cutting time spent on repetitive tasks so I can stay focused on the insight work that matters. Prior to healthcare, I've applied analytical thinking across FinTech, Marketing, and Consulting, from large-scale data migrations and customer segmentation to campaign optimization and product analysis. Core skills & tools: • Data analysis & BI: SQL, Python, Snowflake, Looker, Tableau, PowerBI • ETL & analytics engineering AWS DataBrew, Glue, Step Functions • Product & business analytics KPI design, experimentation support, stakeholder insights, ad-hoc & recurring reporting
At Stellar Health, I work at the intersection of data engineering and analytics in value-based healthcare, owning 20+ production data pipelines that support care quality programs impacting over 1M patients. My role spans end-to-end ETL development, data quality assurance, and stakeholder analytics — partnering closely with Customer Success, Product, and Operations teams to ensure data reliability and translate complex datasets into actionable insights. - Transformed raw pipeline data into executive-ready Tableau/Snowflake dashboards backed by automated validation controls and anomaly detection, maintaining >95% reporting accuracy - Partnered with Customer Success teams to translate business goals into measurable KPIs and SOPs, driving 35% improvement in project efficiency - Built a Gemini-powered SQL automation tool using prompt engineering, reducing analysis prep time by 50% and enabling the team to focus on data insights over boilerplate query updates
During my time at FOX's Marketing Science team, I worked on first-party audience strategy — using data to help the team better understand, segment, and activate their 1M+ user base for marketing and paid media campaigns. Key highlights: - Conducted cohort analysis on viewership and engagement datasets using SQL and Python, identifying behavioral trends that drove a 15% improvement in campaign targeting precision - Designed Tableau dashboards that translated complex campaign data into clear performance narratives, boosting targeting effectiveness by 30%
At OneTrust, I worked at the intersection of product and data — conducting analysis, gathering stakeholder insights, and translating findings into product strategy and measurable outcomes. Though a short engagement, it gave me strong exposure to product thinking and cross-functional collaboration early in my career. Key highlights: - Synthesized findings from 15 stakeholder interviews and product analysis into data-backed KPIs and user stories, directly informing prioritization decisions and resolving key product escalations - Reduced pipeline creation cycle time by 50% by automating data workflows and designing A/B tests to validate UX hypotheses
At Oracle, I worked on large-scale banking data migrations and product implementations, supporting a major banking merger and delivering technical solutions for core banking products. This role built my foundation in data engineering, database management, and translating complex business requirements into technical specifications. Key highlights: - Managed codebase consolidation during a large-scale banking merger impacting 80M+ banking customers, reducing data inconsistencies by 40% - Collaborated on a SQL-based aggregation and transformation framework, migrating 400M+ data rows while ensuring data integrity - Delivered a 20% reduction in service charge processing time by translating banking product requirements into technical specifications and UML diagrams using J2EE and PL/SQL