At a Glance
- Tasks: Transform complex data into actionable insights and support decision-making across teams.
- Company: Join a dynamic team in a large operational environment focused on data solutions.
- Benefits: Earn up to £63,000, enjoy hybrid working, and develop your skills.
- Other info: Collaborate with diverse teams and enhance your data literacy in a supportive environment.
- Why this job: Make a real impact by bridging the gap between data and business needs.
- Qualifications: Experience in data analysis, SQL, and strong stakeholder management skills.
The predicted salary is between 63000 - 63000 £ per year.
Are you a data professional who enjoys solving business problems and turning complex requirements into meaningful insight? This Product Data Analyst opportunity offers the chance to work within a multidisciplinary product team, helping to deliver data and insight solutions that support decision‑making across a large operational environment.
What you’ll be doing
As a Product Data Analyst, you’ll act as the link between stakeholders and technical teams. You’ll gather and challenge requirements, understand the root cause of problems and help translate business needs into clear, actionable data solutions. You’ll provide analysis and insight to support business decision‑making, product development and research initiatives. You’ll work with Snowflake, SQL and BI tools to help deliver scalable reporting and insight products while supporting continuous improvement across the wider data function.
Alongside project delivery, you’ll play a key role in building relationships with stakeholders, helping colleagues improve their use of data and supporting the ongoing development of data literacy across the business. You’ll work closely with stakeholders, product specialists, data scientists, engineers, analysts and data experts to understand business challenges, define requirements and help shape data solutions that deliver measurable value. This role would suit someone who enjoys combining technical data analysis with strong communication and stakeholder management skills.
What experience you’ll need to apply
- Proven experience working as a Product Data Analyst or similar
- Excellent SQL skills and the ability to interrogate, analyse and validate data
- Strong experience working with Snowflake
- Experience gathering, challenging and refining business requirements
- Strong stakeholder management and relationship‑building skills (and ability to communicate technical concepts clearly to non‑technical stakeholders)
- Experience supporting data products, reporting solutions or analytics initiatives
- Experience with BI tools such as PowerBI, Tableau or Qlik
- Strong problem‑solving and analytical thinking skills
- Exposure to Oracle OAS or Oracle DV would be beneficial but is not essential
What you’ll get in return for your experience
They’re offering a salary of up to £63,000 per annum. This is a 12‑Month fixed‑term contract, hybrid working with a required three days per week in the office.
What’s next?
If this Product Data Analyst opportunity sounds like the right fit for you, we’d love to hear from you. Apply using the button below!
StudySmarter Expert Advice🤫
We think this is how you could land Product Data Analyst (12 Month FTC) in Bristol
✨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 Adlib 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 Adlib.
✨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 Adlib.
We think you need these skills to ace Product Data Analyst (12 Month FTC) in Bristol
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Adlib, 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 Adlib, 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 Adlib’s attention and show the tangible impact of your work.
How to prepare for a job interview at Adlib
✨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 Adlib.
✨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 Adlib.
✨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 Adlib.
