workday
Posted 4 days ago
Senior Data Analyst II
Job description
Job Description Job Description How you’ll make an impact This is a high-impact analytics role focused on driving business and product insight, and helping HSOne measure, understand, and deliver value to its practices. As the Senior Data Analyst, Business & Product Insights, you will be the hands-on engine of analytics delivery, producing the insight work that addresses the highest-value strategic questions facing Product, Commercial, and Customer teams. You will combine strong analytical capability with sound commercial judgement, working closely with your manager to focus effort where it matters most in a fast-moving environment. The role covers complex meaningful problems across customer, commercial, product performance, experimentation, and ROI-driven insights. You will operate as a senior individual contributor with scope to deepen technical impact and influence as the analytics function grows. This role reports to the Manager, Data Analytics, Business and Product Insights, and works in close partnership with Data Engineering, Product, Engineering, Commercial and executive stakeholders. What you'll do • 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. What you'll bring • 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. • Strong commercial judgement, with a clear focus on ROI, value creation, and drip-feeding value. • Excellent communication and influencing skills, able to translate complex analysis into clear, compelling insights that inform business decisions. • Willing to challenge the status quo and focus effort on what delivers the greatest impact. Additional Information • UK based. • Occasional travel for company offsites, workshops, or collaboration sessions. Henry Schein is committed to the principle of equal opportunities in employment in all spheres of its operation. Henry Schein UK Holdings strives to operate a policy of equal opportunity and not discriminate against any person gender, race, colour, nationality, ethnic or national origin, religion, sexual orientation, marital status, disability, age or any other characteristic protected by law. Over 90 years ago Henry Schein borrowed $500 to start a corner pharmacy in Queens, New York, nearly 30 miles from Melville, New York, where our corporate headquarters resides today. In the depths of the Great Depression, Henry and his wife Esther made a bold bet on their future all while living their values of helping health happen and caring for their team and the community they served. Their belief paid off far beyond what Henry and Esther might have dared to imagine in 1932. Henry Schein is now a Fortune 500 Company powered by a network of people and technology to be the world’s leading provider of health care products, services and solutions to office-based dental and medical practitioners. Since our founding we have stayed true to Henry and Esther’s values which has allowed us to evolve, expand, and grow our Company. Now serving more than 1 million customers in 33 countries and territories, the Company's network of trusted advisors provides more than 1 million customers globally with more than 300 valued solutions that help improve operational success and clinical outcomes. We invite you to join approximately 25,000 Team Schein Members, who are critical to our success and are at the core of our Team Schein Values as our founders would have wanted. We live those values by ensuring that our culture focuses on the wellness of our team, which we accomplish by providing a safe space for individuals to develop and contribute authentically, with opportunities to give back to society and the communities where we live and work. No matter the role you are seeking, we encourage you to come be a part of a team that makes the world a healthier place. Henry Schein embraces diversity and is committed to providing equal opportunity to employees and applicants. If you are unable or limited in your ability to complete the application process, including the use or access of www.henryschein.com/careers, as a result of a physical or mental impairment, you can request reasonable accommodations. Please e-mail the appropriate email address below with the type of accommodation you are requesting. Please include your first and last name, phone number, position for which you are interested in applying and geographic location in your request. US Candidates: jobsupport@henryschein.com UK and Ireland Candidates: UKHSHRRecruitment@henryschein.co.uk Australia and New Zealand Candidates: APACCareers@henryscheinone.com Malaysia Candidates: CNHR@henryschein.com Italy Candidates: risorse.umane@henryschein.it It is important to us to offer different types of work arrangements. Please see the types we offer below: Work From Home: Work is performed directly from the TSM's home office. Hybrid: Time is scheduled between working from a TSM home office and at a company facility, as required. Onsite: Work is performed exclusively at a company facility. Field: Position requires traveling to different locations within a specific geographic territory, as assigned.
Skills and functions
- Analytics Engineering
- Aws
- Data Analytics
- Data Engineering
- Dbt
- Python
- Sql