At a Glance
- Tasks: Analyse product performance and user behaviour to drive data-driven insights.
- Company: Join Howden, a global insurance group with a collaborative, employee-owned culture.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Fast-paced Agile environment with excellent career development opportunities.
- Why this job: Shape the future of digital products and make a real impact on user experience.
- Qualifications: Experience in product analysis, strong communication skills, and a passion for data.
The predicted salary is between 35000 - 45000 £ per year.
Howden is a global insurance group with employee ownership at its heart. Together, we have pushed the boundaries of insurance. We are united by a shared passion and no‑limits mindset, and our strength lies in our ability to collaborate as a powerful international team comprised of 23,000 employees spanning over 56 countries.
About the role
We are looking for a curious, data driven, Product Analyst to join our Product team within Group Technology. In this role, you will shape the future of our Enterprise websites by analysing product performance and user behaviour, generating data‑driven insights that inform decision‑making, validate priorities, measure success, and drive continuous improvement. Operating in a fast‑paced, iterative Agile environment, you will be the bridge between user behaviour and product strategy. You'll work closely with global stakeholders to turn data into actionable insights, ensuring our digital estate is optimised, user‑centric, and performing at its peak. This role offers the perfect mix of rapid optimisation wins and the opportunity to contribute to larger, global initiatives.
Key Responsibilities
- Understand our user behaviour – analyse product performance, user behaviours, and global trends to uncover opportunities for optimisation and growth.
- Conduct research and data analysis to generate actionable insights and evidence‑based recommendations that inform product decisions and optimisation initiatives.
- Track and report on product KPIs, ensuring data is consistent, accurate and meaningful.
- Support stakeholder workshops to clarify and validate business needs, priorities and business value.
- Support the Product team in shaping product success metrics and evaluation approaches for product and feature enhancements.
- Support the Product Owner with backlog refinement and sprint planning by providing insight and analysis to inform priorities.
- Alongside the Product Owner, co‑create the backlog, writing user stories and acceptance criteria.
- Create and maintain high‑quality product and process documentation, ensuring governance, consistency, and clear identification of dependencies across features and enhancements.
- Conduct post‑release analysis to measure impact against expected outcomes, proving the value of what we build and recommending next steps.
- Support user acceptance testing and release validation, verifying expected outcomes with the Product Owner and business stakeholders.
- Participate in Agile ceremonies and maintain relevant system and process documentation.
- Champion best practice with product changes, collaborating with UX, Platform and SEO teams to ensure relevant regulations, accessibility and GDPR compliance.
Key Skills
- Proven experience in a product analyst role, in digital products or web analytics.
- Strong communication and stakeholder engagement skills.
- Ability to translate data into clear insights and actionable recommendations.
- Analytical mindset with strong attention to detail and structured problem‑solving skills.
- Ability to apply structured analysis techniques to identify insights and drive product improvements.
- Ability to interpret data to improve user experience and product performance.
- Good understanding of the product development lifecycle and Agile ways of working.
- Experience of working with Content Management Systems (CMS).
- Understanding of experimentation principles (e.g. A/B testing).
- Exposure to user testing methods and applying findings to support improvements.
- Experience supporting user story creation and acceptance criteria definition.
- Ability to work effectively within a structured product operating model, supporting Product Manager, Product Owner and Platform Manager responsibilities through data and insight.
- Collaborative and proactive, with a willingness to learn and develop.
- Comfortable working in a fast‑paced, team‑oriented environment.
Product Analyst employer: Howden
Howden is an exceptional employer that fosters a culture of employee ownership and collaboration, making it a great place for a Product Analyst to thrive. With a commitment to continuous improvement and a no-limits mindset, employees are encouraged to innovate and grow within a supportive international team. The role offers unique opportunities to work on impactful global initiatives while benefiting from a dynamic Agile environment that prioritises personal development and meaningful contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Product Analyst
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We think you need these skills to ace Product Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Howden, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Howden. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Howden
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Howden!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.