At a Glance
- Tasks: Own and deliver end-to-end analytics projects, transforming data into actionable insights.
- Company: Join a dynamic team in a product-led, data-driven environment.
- Benefits: Hybrid working, high-impact role, and exposure to cross-functional teams.
- Other info: Opportunity for mentorship and career growth in a collaborative setting.
- Why this job: Make a real impact on customer-facing decisions with your analytical skills.
- Qualifications: Strong SQL and Python skills, experience with large datasets and dashboards.
The predicted salary is between 40000 - 50000 £ per year.
Contract Type: Inside IR35
Start Date: August (fixed)
Duration: Maternity cover
Working Pattern: Hybrid (1 day per week preferred)
About the Role
We are looking for an experienced Data Analyst II to join a high-performing analytics function focused on customer and product analytics. This role sits at mid-level and offers the opportunity to work closely with Product Managers, Engineers, and cross-functional stakeholders to solve complex business challenges through data. You will own analytical work end-to-end, from defining problems through to delivering insights and recommendations that directly influence product and business decisions.
Key Responsibilities
- Own and deliver end-to-end analytics projects (problem definition → data → insight → recommendation)
- Partner with Product Managers and Engineering teams to identify opportunities and solve business challenges
- Perform data extraction, transformation, and analysis across large and complex datasets
- Build and maintain automated data workflows and scalable analytical solutions
- Develop dashboards, reports, and visualisations to clearly communicate insights
- Analyse experimentation results (A/B and multivariate testing) and provide actionable recommendations
- Translate complex analysis into clear, business-friendly insights for stakeholders
- Ensure high standards of data quality, governance, and analytical rigour
- Support and mentor more junior analysts where required
Essential Skills & Experience
Technical
- Strong experience with SQL (complex querying, data manipulation)
- Experience using Python for data analysis and automation
- Experience working with large datasets and modern data environments
- Proven experience building dashboards (Power BI, Tableau, or similar)
- Good understanding of data modelling and data quality principles
Analytics & Business
- Experience delivering insight-led analysis, not just reporting
- Strong understanding of A/B testing / experimentation concepts
- Statistical thinking and interpreting results
- Ability to translate business problems into analytical solutions
- Experience working with customer or product data
- Strong commercial awareness and problem-solving ability
Stakeholder Management
- Proven experience working with Product teams
- Engineering teams
- Business stakeholders
- Ability to communicate complex insights clearly to non-technical audiences
- Comfortable working independently with minimal supervision
Desirable
- Experience working with Snowflake or cloud data platforms
- Exposure to Google Analytics / Adobe Analytics / similar tools
- Background in travel, e-commerce, or digital product environments
- Experience with PySpark or large-scale data processing
- Exposure to statistical modelling or machine learning concepts
Candidate Profile
We're looking for someone who is:
- Hands-on and technically strong (SQL + Python)
- Able to own work independently from start to finish
- Comfortable influencing business and product decisions
- Strong communicator with stakeholder-facing experience
- Curious, analytical, and focused on solving real business problems with data
What You'll Get
- Opportunity to work in a product-led, data-driven environment
- High-impact role influencing customer-facing decisions
- Exposure to cross-functional teams and complex datasets
- A chance to take full ownership of analytical work
If you're a hands-on Data Analyst who enjoys turning data into business impact - we'd love to hear from you.
Data Analyst II in Manchester employer: Computer Futures / SThree Group
Join a dynamic and innovative analytics team where your contributions as a Data Analyst II will directly shape product and business strategies. With a hybrid working model, you will enjoy a flexible work environment that fosters collaboration with cross-functional teams while also providing opportunities for professional growth and mentorship. Our commitment to data quality and analytical excellence ensures that you will be part of a high-performing culture that values your insights and encourages impactful decision-making.
Contact Details:
Computer Futures / SThree Group Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst II 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 / SThree Group 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 / SThree Group.
✨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 / SThree Group.
We think you need these skills to ace Data Analyst II in Manchester
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Computer Futures / SThree Group, 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 / SThree Group, 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 / SThree Group’s attention and show the tangible impact of your work.
How to prepare for a job interview at Computer Futures / SThree Group
✨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 / SThree Group.
✨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 / SThree Group.
✨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 / SThree Group.
