At a Glance
- Tasks: Uncover user behaviour and drive product strategy through data analysis and storytelling.
- Company: A digitally native business focused on data-driven decision-making.
- Benefits: Flexible contract role with opportunities for growth and collaboration.
- Other info: Join a dynamic team committed to modern tools and shared learning.
- Why this job: Make a real impact by shaping product decisions with your analytical skills.
- Qualifications: Experience in data analysis, proficiency in SQL, Python or R, and strong communication skills.
The predicted salary is between 50000 - 60000 € per year.
An opportunity to join a data-led organisation during a period of meaningful growth, where product decisions are shaped by insight and experimentation. This contract role offers the chance to work closely with product, engineering and commercial teams, influencing strategy through robust analysis and clear data storytelling.
The Company
They are a digitally native business with a strong focus on using data to improve user and partner experiences. Data sits at the centre of decision-making, with an established analytics function that partners closely with teams across the organisation. The business is investing in its data capability and is committed to modern tools, experimentation, and shared learning.
The Role and Deliverables
- Partner with product and business teams to uncover user behaviour, pain points and opportunities using quantitative analysis and insight.
- Design and support experiments, develop hypotheses, and help size and prioritise new product opportunities.
- Define, align and document key metrics, working with engineers to ensure consistent and reliable data foundations.
- Build and maintain self-serve dashboards and analytical tools to enable data-informed decision-making.
- Deliver deep-dive analysis and clear recommendations to support strategic product and business initiatives.
- Contribute to a central insights and knowledge hub, promoting transparency and shared understanding across teams.
Your Skills & Experience
- Strong experience applying data analysis in a product-focused or digitally native environment.
- Proficiency with analytical tools and languages such as SQL, Python or R, and familiarity with modern BI 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 a genuine curiosity about user behaviour.
- Comfortable working collaboratively while also operating independently within a senior analytics environment.
How to Apply
Register your interest by sending your CV to Ananya Gupta via the Apply Link on this page.
Product Data Scientist (Contract) in Nottingham employer: Harnham
Join a forward-thinking, digitally native organisation that prioritises data-driven decision-making and fosters a collaborative work culture. As a Product Data Scientist, you'll have the opportunity to influence product strategy through insightful analysis while benefiting from a commitment to employee growth and modern tools. With a focus on experimentation and shared learning, this role offers a unique chance to contribute to meaningful projects in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Product Data Scientist (Contract) in Nottingham
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those already working at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your data analysis projects. This is your chance to demonstrate your proficiency with SQL, Python, or R in a practical way.
✨Tip Number 3
Prepare for interviews by brushing up on your data storytelling skills. Practice explaining your past projects and how your insights influenced product decisions. Remember, clarity is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our data-led team.
We think you need these skills to ace Product Data Scientist (Contract) in Nottingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your data analysis experience, especially in product-focused environments, to show us you’re the right fit for the role.
Show Off Your Data Storytelling Skills:We love a good story! When you describe your past projects, focus on how you communicated your findings. Use clear examples of how your insights influenced decisions or strategies to demonstrate your storytelling prowess.
Be Specific About Your Tools:Mention the analytical tools and languages you’re proficient in, like SQL, Python, or R. We want to see that you’re comfortable with modern BI platforms and can hit the ground running with our tech stack.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Harnham
✨Know Your Data Tools
Make sure you're well-versed in the analytical tools mentioned in the job description, like SQL, Python, or R. Brush up on your skills and be ready to discuss how you've used these tools in past projects to derive insights.
✨Showcase Your Data Storytelling
Prepare to demonstrate your ability to translate complex data into clear, actionable insights. Think of examples where your analysis led to significant product decisions and be ready to present them in a compelling way.
✨Understand User Behaviour
Dive deep into user behaviour analysis. Be prepared to discuss methodologies you've used to uncover pain points and opportunities. Showing genuine curiosity about users will resonate well with the interviewers.
✨Collaborative Mindset
Highlight your experience working collaboratively with product, engineering, and commercial teams. Share specific instances where your contributions influenced strategy and decision-making, showcasing your ability to work both independently and as part of a team.
