
Job Overview
Location
United Kingdom - Remote
Job Type
Full-time
Category
Data & Analytics
Date Posted
July 16, 2026
Full Job Description
đź“‹ Description
- • Act as a senior analytics delivery point of contact for Product, Commercial, Customer, and Revenue teams, working with your manager to triage, prioritise, and respond to requests.
- • Help shape, prioritise, and sequence your own workload, and junior members, based on business value, strategic importance, and available capacity, escalating prioritisation conflicts to your manager where required.
- • Balance short-term operational needs with longer-term, scalable insight, explicitly focusing effort on the work with the greatest impact.
- • Generate actionable, data-led insights into product performance and customer behaviour, linking feature usage to retention, growth, recall effectiveness, and commercial outcomes, and clearly communicate product value to support strategic decision-making and legacy platform migration.
- • Contribute towards the evolution of product and commercial experimentation and causal analysis practices in partnership with Product, Engineering, and the wider Data & AI team.
- • Support in the delivery of well-designed experiment frameworks, through strong hypothesis framing, metric selection, and post-test deep dive analysis, applying advanced analytical techniques (e.g. causal analysis, forecasting, segmentation) to extract insight, drive learning, and de-risk product and commercial decisions.
- • Ensure continuity of critical customer and commercial analytics workstreams you own.
- • Identify opportunities to simplify, automate, or self-serve legacy reporting and insights over time with AI/automation approaches.
- • Reduce reliance on manual or low-value analytics activities, refocusing effort on scalable, high impact insight.
- • Operate strongly hands-on in analytics day-to-day, writing SQL and/or Python to build analytical models and deliver insight, and contribute to the team code base.
- • Design and deliver advanced analyses, including churn and risk modelling, forecasting, and performance deep dives.
- • Quality-assure your own analytical outputs to ensure accuracy, clarity, and relevance, and peer-review the work of other analysts as the team grows.
- • Act as a senior technical contributor and role model within the analytics function, raising the bar on analytical thinking, delivery discipline, and stakeholder engagement.
- • Share knowledge and support more junior analysts through technical guidance, code review, IP sharing, and informal coaching as the team expands.
- • Promote an inclusive and collaborative culture, in line with the Henry Schein One values.
🎯 Requirements
- • Proven experience as a Senior Data Analyst (or equivalent) operating with significant ownership and autonomy over your own workstreams.
- • Demonstrated ability to deliver high-impact insights across product, commercial, and customer domains. Experienced in prioritising and delivering analytics work in fast-paced, evolving environments.
- • Exposure to healthcare or regulated environments is desirable but not essential.
- • Advanced SQL and Python skills, with the ability to work confidently across large, complex datasets.
- • Strong analytical modelling skills, including forecasting, client segmentation, and risk or churn analysis.
- • Experience working with modern analytics engineering concepts, including dbt or similar tooling.
- • Familiarity with commercial and product experimentation, AB testing, experimentation frameworks, causal analysis, and evaluation of product and commercial initiatives.
- • Comfortable working in cloud-based analytics environments; familiarity with AWS analytics or ML services is a plus but not essential.
🏖️ Benefits
- • UK based.
- • Occasional travel for company offsites, workshops, or collaboration sessions.
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Henry Schein, Inc.
Henry Schein, Inc. is a Fortune 500 distributor of healthcare products and services to office-based dental, animal health, and medical practitioners. Founded in 1932 and headquartered in Melville, New York, the company supplies pharmaceuticals, equipment, software, and practice-management solutions across more than 30 countries. Its offerings include infection-control products, diagnostic equipment, vaccines, and financial services, supported by a global logistics network and value-added consulting. The firm also operates continuing-education programs and sustainability initiatives, serving approximately one million customers while emphasizing efficient supply-chain management and integrated technology platforms for healthcare practices.
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