At a Glance
- Tasks: Uncover user behaviour and drive product decisions through data analysis and experimentation.
- Company: Join a data-led organisation at a pivotal growth stage.
- Benefits: Competitive pay, flexible work options, and opportunities for professional development.
- Other info: Collaborative environment with opportunities for career advancement.
- Why this job: Make a real impact by shaping user outcomes with your analytical skills.
- Qualifications: Strong data analysis experience and proficiency in SQL, Python or R.
The predicted salary is between 50000 - 65000 £ 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.
Senior Product Data Analyst — Insight‑Driven Growth in London employer: Harnham
Join a dynamic and data-driven organisation that prioritises insight-led growth, where your contributions as a Senior Product Data Analyst will directly influence product strategy and user outcomes. With a collaborative work culture that values innovation and experimentation, you'll have access to robust professional development opportunities and the chance to work alongside talented cross-functional teams in a vibrant environment. Enjoy the unique advantage of being part of a company at a pivotal growth stage, where your analytical skills will be celebrated and rewarded.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Product Data Analyst — Insight‑Driven Growth in London
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Senior Product Data Analyst — Insight‑Driven Growth 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 Harnham, 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 Harnham. 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 Harnham
✨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 Harnham!
✨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.
