At a Glance
- Tasks: Design and deliver analytics solutions, applying statistical techniques and utilising AI tools.
- Company: Join a high-performing Data Science & Analytics team in Manchester.
- Benefits: Competitive pay of up to £486 per day with hybrid working options.
- Other info: Exciting opportunity for career growth in a data-driven environment.
- Why this job: Make an impact by transforming data into actionable insights for real-world applications.
- Qualifications: 5+ years in Data Analytics, strong SQL and Python skills required.
We're looking for an experienced Data Analyst to join a high-performing Data Science & Analytics team, supporting the development of data-driven products and customer experiences. This is an excellent opportunity to work with large-scale customer, product, and operational datasets, helping stakeholders make informed decisions through actionable insights and advanced analytics.
The successful candidate will combine strong technical skills in SQL, Python, and modern analytics platforms with the ability to partner effectively across Product, Engineering, Design, and Business teams.
Key Responsibilities
- Design and deliver end-to-end analytics solutions from concept through to implementation.
- Apply statistical techniques and experimentation methodologies, including A/B testing.
- Ensure accuracy and quality through validation and peer review processes.
- Utilise emerging AI tools and technologies to improve analytical efficiency.
Skills & Experience
- Minimum 5 years' experience in Data Analytics (or 3+ years with a relevant PhD).
- Advanced SQL skills.
- Strong Python and/or PySpark experience.
- Proven experience across the full data lifecycle, including:
- Data collection
- Data cleansing
- Data modelling
- Data aggregation
- Data validation
- Reporting
- Experience working within technology-focused environments.
- Strong understanding of experimentation methodologies, including A/B testing and randomisation.
- Experience with data visualisation tools such as Tableau, Power BI, or similar.
- Experience using AI tools such as Claude, Cursor, Cortex, Windsurf, or similar.
- Experience developing AI agents or automation solutions.
- Exposure to Machine Learning or Data Science environments.
This is a data-driven environment where analytics plays a central role in product development, customer experience optimisation, and strategic decision-making.
Contract Details
- Location: Manchester (Hybrid)
- Office Attendance: 2 days per week
- Contract Date: ASAP (up to one month's notice considered)
Ideal Candidate
The ideal candidate will be a commercially minded Data Analyst who enjoys owning projects from discovery through to delivery. Candidates with experience in product analytics, experimentation, customer behaviour analysis, and AI-enabled analytics workflows will be particularly well suited to this opportunity.
Data Analyst - Immediate start in Manchester employer: Computer Futures
At Computer Futures, we pride ourselves on being an excellent employer by fostering a collaborative and innovative work culture that empowers our Solutions Architects to thrive. With a focus on professional growth, we offer ample opportunities for skill development and career advancement, all while providing the flexibility of remote work and occasional onsite workshops in the UK. Join us to be part of a dynamic team dedicated to delivering impactful solutions in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Immediate start in Manchester
✨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 Computer Futures 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 Computer Futures.
✨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 Computer Futures.
We think you need these skills to ace Data Analyst - Immediate start in Manchester
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Computer Futures, 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 Computer Futures, 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 Computer Futures’s attention and show the tangible impact of your work.
How to prepare for a job interview at Computer Futures
✨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 Computer Futures.
✨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 Computer Futures.
✨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 Computer Futures.
