At a Glance
- Tasks: Shape the future of digital products by analysing performance and user behaviour.
- Company: Join a leading global professional services firm with a strong international presence.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Be part of a global organisation undergoing exciting digital transformation.
- Why this job: Make a real impact on product strategy in a fast-paced, innovative environment.
- Qualifications: Experience as a Product Owner/Analyst with a knack for data-driven insights.
The predicted salary is between 50000 - 65000 £ per year.
Location: London (Hybrid)
Our client, a leading global professional services firm with a strong international presence, is looking for a curious, data-driven Product Analyst to join their Product team within Group Technology.
This is a fantastic opportunity to shape the future of a major enterprise digital estate working across global websites, analysing product performance and user behaviour, and generating insights that directly inform product strategy and decision-making.
You'll sit at the intersection of data and product, working in a fast-paced, iterative Agile environment alongside Product Owners, UX, Platform, and SEO teams.
- Analysing product performance, user behaviour, and market trends to identify opportunities for growth and optimisation
- Conducting research and data analysis to produce actionable, evidence-based recommendations
- Tracking and reporting on product KPIs, ensuring accuracy and consistency of data
- Helping define product success metrics and evaluation frameworks
- Supporting backlog refinement and sprint planning through data-driven insight
- Co-creating the backlog with the Product Owner - writing user stories and acceptance criteria
- Maintaining high-quality product and process documentation
- Conducting post-release analysis to measure impact against expected outcomes
- Supporting UAT and release validation
- Participating in Agile ceremonies and championing best practice around accessibility, GDPR, and regulatory compliance
Proven experience as a Product Owner/ Analyst, ideally within digital products or web analytics.
A knack for translating complex data into clear, actionable insights.
Understanding of the product development lifecycle and Agile ways of working.
Experience working with Content Management Systems (CMS) and A/B testing.
Exposure to user testing methods and applying findings to improve products.
This is a rare opportunity to join a well-established, global organisation at an exciting stage of its digital transformation.
StudySmarter Expert Advice🤫
We think this is how you could land Digital Product Owner/Analyst in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like ARC IT Recruitment!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Digital Product Owner/Analyst at ARC IT Recruitment.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like ARC IT Recruitment.
✨Apply Directly through Our Website
When you find a suitable opening like Digital Product Owner/Analyst at ARC IT Recruitment, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Digital Product Owner/Analyst in London
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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at ARC IT Recruitment, 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 ARC IT Recruitment. 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 ARC IT Recruitment
✨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!
✨Showcase Your Projects
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 ARC IT Recruitment!
✨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.
