Manager, Data Analytics

Remote from
UK flag
UK
Annual salary
Undisclosed
Salary information is not provided for this position. Check our Salary Directory to estimate the average compensation for similar roles.
Employment type
Full Time,
Job posted
Apply before
26 Jun 2026
Experience level
Midweight
Views / Applies
19 / 7

About Henry Schein

Because So Many Rely on You... You Can Rely on Us.

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This job post has been manually reviewed for authenticity and compliance.

AI Summary

This is a high-impact Manager, Data Analytics role responsible for driving business and product insights at HSO, a UK-based remote company. The position involves managing one analyst, prioritizing analytics work based on business value, and generating actionable insights on product performance and customer behavior. The role requires strong hands-on analytical skills in SQL/Python, experience with experimentation and causal analysis, and a focus on delivering value to Product, Commercial, and Customer teams. The manager will also lead team development, foster a collaborative culture, and contribute to recruitment efforts. This role reports to the Head of Data & AI and works closely with multiple departments.

Role DNA

Job Complexity
Easy Hard
Pace & Pressure
Relaxed Fast-paced
Autonomy Level
Guided Full Ownership
Communication Load
Independent Highly Collaborative
AI Insight The role requires a blend of advanced technical skills (SQL, Python, causal analysis), strategic prioritization, and team management, making it challenging but not the hardest.

Salary Analysis

Median Highly Competitive
$140,000
US Market
$110k – $170k
0 $187k
AI Insight The salary is not specified in the job listing, but the estimated market median for a Manager, Data Analytics in the US is around $140,000. This role is likely to offer a competitive salary within the range of $110,000 to $170,000 depending on experience and location.

Key Skills

Data Analytics SQL Python Causal Analysis Experimentation Product Insights Team Management Forecasting Churn Modeling Stakeholder Communication

I am writing to express my strong interest in the Manager, Data Analytics position at HSO. With over 8 years of experience in data analytics and a proven track record of delivering actionable insights that drive business growth, I am confident in my ability to make an immediate impact in this role.

In my previous role as a Senior Data Analyst at a fast-paced tech company, I led cross-functional analytics projects that improved product retention by 15% and optimized commercial strategies. I am proficient in SQL and Python, and have extensive experience with experimentation and causal analysis.

I am particularly drawn to this opportunity because of the emphasis on balancing short-term operational needs with long-term strategic insights, and the chance to build and lead a high-performing team. I am eager to bring my hands-on analytical skills and leadership experience to HSO.

Thank you for considering my application. I look forward to the possibility of discussing how I can contribute to the success of HSO's data analytics function.

Can you describe a time when you had to prioritize multiple analytics requests from different stakeholders? How did you decide what to work on first?
I would assess each request based on business value, strategic importance, and urgency. For example, in my previous role, I created a prioritization framework that scored requests on impact and effort, and I communicated with stakeholders to align on priorities. This ensured that the most valuable insights were delivered first.
How do you approach designing an experiment to measure the impact of a new product feature?
I start by defining the hypothesis and key metrics, then determine the appropriate test design (e.g., A/B test). I ensure proper randomization and sample size, and I use statistical methods to analyze results, considering both practical and statistical significance. Post-test, I deep dive to understand the 'why' behind the results.
Can you give an example of a complex analytical model you built, such as a churn model or forecast? What was the outcome?
I built a churn model using logistic regression and feature engineering on customer usage data. The model identified key churn drivers and enabled proactive retention campaigns, reducing churn by 20% over six months. I also validated the model with holdout data and monitored its performance over time.
How do you ensure that your team's analytical outputs are accurate and relevant?
I implement a rigorous QA process including peer reviews, code checks, and validation against business logic. I also encourage a culture of asking 'so what?' to ensure insights are actionable. Regular check-ins with stakeholders help ensure alignment with their needs.
Describe your experience with managing and developing a team of analysts. How do you foster their growth?
I conduct regular 1:1s, set clear goals, and create individualized development plans. I provide opportunities for them to work on challenging projects and encourage knowledge sharing. I also provide constructive feedback and celebrate successes to keep the team motivated.

Job Description

Manager, Data Analytics – Business and Product Insights Department Product & Engineering Line Manager Head of Data and AI Location UK Remote Contract Type Permanent Worker Type Manager Job Grade / Level (Skills Matrix) M3 Bonus MBO Travel Requirements Ad Hoc Travel Requirements cont. UK Estimated Annual Mileage (if applicable) N/A Job Description How you’ll make an impact This is a high-impact analytics role that is responsible for driving business and product insight and allowing HSO to measure, understand, and deliver value to its clients. As the Manager, Data Analytics, Business & Product Insights, you will act as the primary owner of analytics delivery, ensuring that insight work is focused on the highest-value questions facing Product, Commercial, and Customer teams. You will combine strong hands-on analytical capability with sound commercial judgement, and the ability to prioritise effectively in a fast-moving environment to deliver value. The role covers complex meaningful problems on the customer, commercial, product performance, experimentation, and ROI-driven insights. You will manage one analyst initially, with scope for the role and team to grow as impact and organisational priorities evolve. This role reports to the Head of Data & AI and works in close partnership with Data Engineering, Product, Engineering, and Commercial leadership. What you’ll do • Act as the single point of contact for analytics requests across Product, Commercial, Customer, and Revenue teams. • Shape, prioritise, and sequence analytics work based on business value, strategic importance, and available capacity. • Balance short-term operational needs with longer-term, scalable insight, explicitly focusing on greatest impact and escalate prioritisation conflicts where required, with the Head of Data & AI. • 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. • Help shape and evolve experimentation and causal analysis practices in partnership with Product and Engineering and the Head of Data and AI. • Support well-designed experiments through strong hypothesis framing, metric selection, and post-test deep dive analysis, and 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 • Identify opportunities to simplify, automate, or self-serve legacy reporting and insights over time. • Reduce reliance on manual or low-value analytics activities, refocusing effort on scalable, and high impact insight. • Remain strongly hands-on in analytics, particularly in the early stages of the role., where you will code in SQL and/or Python to create analytical models. • Design and deliver advanced analyses, including churn and risk modelling, forecasting, and performance deep dives. • Review and quality-assure analytical outputs to ensure accuracy, clarity, and relevance. • Lead and develop a high-performing team, motivating and inspiring your team to reach and exceed all set targets and KPIs • Coach team members in best practices, fostering a culture of continuous development • Ensure all team members have clear, up-to-date Individual Development Plans (IDPs), and receive regular performance reviews and meaningful 1:1 conversations to support growth, engagement, and accountability • Maintain a trusting, collaborative environment, enabling the team to thrive • Lead the recruitment efforts for your team, identifying and hiring top talent • Promote an inclusive and diverse culture, in line with the Henry Schein One values What you’ll bring with you • Proven experience as a Data Analytics Manager operating with significant ownership and autonomy. • 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 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 experimentation, 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 and value creation. • Excellent communication and influencing skills, who can 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. Diversity at Henry Schein One Diversity at Henry Schein One is all about you being you. Diversity and inclusion are integral to every aspect of our business; we push boundaries fuelled by a diverse set of voices and a desire to make a difference. We are proud to be an equal-opportunity employer. All qualified candidates are considered without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, or age. We welcome everyone to our team; we foster creativity and ambition throughout our business. We’re making a difference every day and you can too. Our Shared Values Everyone at Henry Schein One is encouraged to live and demonstrate our core values: Community • Each Person is as Important as the Next • Open Communication • Diversity & Inclusion Caring • Corporate Citizenship • People are our Greatest Asset Career • Ethics • Recognise Creativity & Encourage it • Shared Success

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.

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