At a Glance
- Tasks: Analyse data to drive business insights and enhance reporting platforms.
- Company: Join a leading global organisation with a focus on innovation.
- Benefits: Competitive day rate, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic role with a chance to work in a fast-paced environment.
- Why this job: Make an impact by transforming data into actionable insights for strategic initiatives.
- Qualifications: Experience in data analysis, strong SQL and Python skills required.
Data Analyst
Location: Manchester, UK (Hybrid – Tuesday, Wednesday & Thursday Onsite)
Day Rate: £425 per day (Inside IR35)
Contract Duration: 12 Months
Overview
We are supporting a leading global organisation in their search for an experienced Data Analyst to join their European data function on a 12-month contract.
This role will play a key part in supporting strategic business initiatives through data-driven insights, reporting, and analytics. Working closely with business and technology stakeholders, you will help deliver new data capabilities, enhance reporting platforms, and provide analytical support for both strategic programmes and day-to-day business operations.
Key Responsibilities
- Collect, clean, validate, and analyse large datasets from multiple sources.
- Develop and maintain dashboards and reports using Power BI, Tableau, Excel, and other BI tools.
- Translate business requirements into analytical solutions and actionable insights.
- Perform exploratory data analysis (EDA) to identify trends, opportunities, and process improvements.
- Deliver ad hoc analysis to support business and operational decision-making.
- Monitor KPIs and provide regular reporting to key stakeholders.
- Develop and optimise SQL queries, data models, and reporting solutions.
- Identify and resolve data quality issues in collaboration with relevant teams.
- Support forecasting, trend analysis, and predictive modelling initiatives.
- Ensure compliance with data governance, security, and privacy standards.
- Document analytical methodologies, data definitions, and reporting processes.
- Present findings and recommendations to both technical and non-technical stakeholders.
- Drive continuous improvements through reporting automation and process optimisation.
Essential Skills & Experience
- Proven commercial experience as a Data Analyst.
- Strong SQL and Python skills for data querying and analysis.
- Experience building dashboards using Power BI and/or Tableau.
- Strong analytical and quantitative skills with the ability to interpret complex datasets.
- Experience translating business requirements into meaningful data solutions.
- Excellent problem-solving and critical thinking abilities.
- Strong stakeholder management and communication skills.
- Experience working with cross-functional business and technology teams.
- Proactive, self-motivated, and able to work independently in a fast-paced environment.
Technical Skills
- SQL
- Python
- Power BI
- Tableau
- Microsoft Excel
- Data visualisation and reporting
- Data modelling
- KPI reporting and performance analysis
- Data quality management
- Exploratory Data Analysis (EDA)
Desirable Skills
- Experience supporting enterprise data platform initiatives.
- Exposure to forecasting and predictive analytics.
- Understanding of data governance and data privacy principles.
- Experience automating reporting processes and workflows.
- Previous experience working within large, complex enterprise environments.
Data Analyst in Manchester employer: Stott and May
Join our dynamic and rapidly expanding cyber security organisation, where you will play a pivotal role in shaping the Offensive Security Strategy as a Penetration Testing Lead. We foster a collaborative work culture that prioritises employee growth through mentorship and hands-on experience, while offering competitive benefits and a commitment to staying at the forefront of industry trends. Located in a vibrant area, we provide unique opportunities for professional development and engagement with cutting-edge technologies, making us an excellent employer for those seeking meaningful and rewarding careers in cybersecurity.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst 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 Stott and May 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 Stott and May.
✨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 Stott and May.
We think you need these skills to ace Data Analyst in Manchester
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Stott and May, 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 Stott and May, 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 Stott and May’s attention and show the tangible impact of your work.
How to prepare for a job interview at Stott and May
✨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 Stott and May.
✨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 Stott and May.
✨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 Stott and May.
