At a Glance
- Tasks: Analyse data to drive product decisions and enhance user experiences.
- Company: Join a data-driven organisation at a pivotal growth stage.
- Benefits: Flexible contract role with opportunities for professional development.
- Other info: Collaborative environment with a focus on innovation and user behaviour.
- Why this job: Make a real impact by shaping product strategies through data insights.
- Qualifications: Experience in data analysis, proficiency in SQL, Python or R.
The predicted salary is between 45000 - 55000 £ per year.
This contract opportunity sits within a data‑led organisation at a key point of growth, where product decisions are driven by insight, experimentation and clear measurement. You will work at the intersection of product, engineering and commercial teams, using data to influence strategy and shape meaningful user outcomes.
Responsibilities
- Partner with product and business stakeholders to uncover user behaviour, pain points and opportunities through robust quantitative analysis.
- Design and support experiments, develop hypotheses, and help size and prioritise new product initiatives.
- Define, align and document key metrics, working closely with engineers to ensure reliable and consistent data foundations.
- Build and maintain self‑serve dashboards and analytical tools to enable data‑informed decision‑making.
- Deliver deep‑dive analysis with clear recommendations to support strategic product and business decisions.
- Contribute to a central insights and knowledge hub, promoting shared understanding across teams.
Skills and Experience
- Strong experience applying data analysis within a product‑focused or digitally native environment.
- Proficiency with SQL, Python or R, and familiarity with modern BI and analytics platforms.
- Ability to translate complex business questions into structured analytical approaches and actionable insight.
- Strong data storytelling skills, with confidence presenting findings to stakeholders at varying levels.
- A proactive, detail‑oriented mindset with genuine curiosity about user behaviour.
- Comfortable collaborating closely with cross‑functional teams while operating independently in a senior analytics environment.
Product Analyst (Contract) in London employer: Harnham
Join a dynamic and data-driven organisation that prioritises insight and experimentation, making it an excellent employer for those looking to make a meaningful impact as a Product Analyst. With a strong focus on employee growth, you will have the opportunity to collaborate with cross-functional teams, develop your analytical skills, and contribute to strategic decisions that shape user experiences. Our supportive work culture fosters innovation and encourages continuous learning, making this a rewarding place to advance your career in a thriving environment.
StudySmarter Expert Advice🤫
We think this is how you could land Product Analyst (Contract) in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Harnham before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Harnham.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Harnham.
We think you need these skills to ace Product Analyst (Contract) in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Harnham, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Harnham, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Harnham’s attention and show the tangible impact of your work.
How to prepare for a job interview at Harnham
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Harnham.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Harnham.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Harnham.
