At a Glance
- Tasks: Design and deliver data analytics solutions to drive informed decision-making.
- Company: Join a high-performing Data Science & Analytics team in Manchester.
- Benefits: Hybrid work, competitive pay, and potential for contract extension.
- Other info: Opportunity to mentor others and influence strategic decisions.
- Why this job: Combine technical skills with business problem-solving in a fast-paced environment.
- Qualifications: Strong SQL and Python skills, experience with data visualisation tools.
The predicted salary is between 35000 - 45000 £ per year.
Data Analyst II (Contract) – Manchester (Hybrid) 6-Month Contract (Potential Extension)
About the Role
We are looking for an enthusiastic and motivated Data Analyst to join a high-performing Data Science & Analytics team. This role will focus on designing and delivering data analytics solutions from concept through implementation, helping drive data-informed decision-making across a large-scale digital product environment. You will work with complex datasets to generate actionable insights, build scalable reporting solutions, measure product and business performance, and influence strategic decisions through data. This is an excellent opportunity for someone who enjoys combining technical analytics skills with business problem-solving in a fast-paced, collaborative environment.
Key Responsibilities
- Prepare, clean, validate, and analyse large datasets for business and product insights
- Apply statistical analysis and modelling techniques to solve business problems
- Build and maintain scalable reporting, dashboards, and visualisations
- Translate business requirements into analytical solutions and meaningful data stories
- Create reliable datasets that support advanced analysis and decision-making
- Measure the impact of business initiatives, product changes, and experiments
- Ensure high standards of data quality, accuracy, and governance
- Collaborate closely with Product, Engineering, Data, and other business stakeholders
- Communicate analytical findings clearly to both technical and non-technical audiences
- Conduct peer reviews and contribute to analytics best practices
- Support and mentor less experienced team members where appropriate
Required Skills & Experience (Essential)
- Proven experience in a Data Analyst, Analytics Engineer, or similar role
- Strong SQL skills
- Strong Python experience (PySpark highly desirable)
- Experience working with Snowflake
- Experience with data visualisation tools such as: Tableau, Power BI, Data Studio or equivalent platforms
- Strong understanding of the end-to-end data lifecycle:
- Data collection
- Data cleansing
- Data transformation
- Aggregation
- Validation
- Reporting
- Experience designing and analysing experiments (A/B testing, randomisation methodologies)
- Strong stakeholder management and communication skills
- Ability to explain complex technical findings to non-technical audiences
- Strong critical thinking and problem-solving abilities
- Ability to work independently and manage multiple priorities
Desirable
- Experience with customer behaviour analytics and event tracking
- Experience with tools such as: Google Analytics, Google Tag Manager, Adobe Analytics, Similar behavioural analytics platforms
- Knowledge of causal inference methodologies
- Experience working within cross-functional teams including Product, Engineering, Design, QA, and Business stakeholders
- Exposure to machine learning workflows or model development
- Familiarity with modern AI tools and platforms
Preferred Background
- Degree in Statistics, Mathematics, Econometrics, Data Science, Computer Science, or a related quantitative discipline
- Advanced degree beneficial but not essential
- Experience working in data-driven product or digital environments
What We're Looking For
The ideal candidate combines strong technical analytics skills with commercial awareness and excellent communication. You should be comfortable working autonomously, translating ambiguous business questions into analytical solutions, and influencing decisions through data-driven insights. If you enjoy solving complex problems, working with modern data tools, and collaborating across multiple teams, we'd love to hear from you.
Data Analytics - OO1182 - Data Analytics - IC - F in Manchester employer: Brookwood Recruitment Ltd
Join our dynamic Data Science & Analytics team in Manchester, where we foster a collaborative and innovative work culture that values your contributions. As a Data Analyst II, you'll have the opportunity to work with complex datasets, develop impactful analytics solutions, and grow your skills in a supportive environment that encourages professional development and mentorship. Enjoy the flexibility of a hybrid working model while being part of a company that prioritises data-driven decision-making and employee growth.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analytics - OO1182 - Data Analytics - IC - F 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 Brookwood Recruitment Ltd 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 Brookwood Recruitment Ltd.
✨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 Brookwood Recruitment Ltd.
We think you need these skills to ace Data Analytics - OO1182 - Data Analytics - IC - F in Manchester
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Brookwood Recruitment Ltd, 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 Brookwood Recruitment Ltd, 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 Brookwood Recruitment Ltd’s attention and show the tangible impact of your work.
How to prepare for a job interview at Brookwood Recruitment Ltd
✨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 Brookwood Recruitment Ltd.
✨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 Brookwood Recruitment Ltd.
✨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 Brookwood Recruitment Ltd.
