At a Glance
- Tasks: Analyse financial data, generate reports, and support key business decisions.
- Company: Join a world-renowned specialist manufacturer with a dynamic work culture.
- Benefits: Competitive pay, flexible working arrangements, and opportunities for professional growth.
- Other info: Immediate start available; great opportunity for career advancement.
- Why this job: Make an impact by driving data-driven decisions in a fast-paced environment.
- Qualifications: Experience in data analysis, strong Excel skills, and a background in finance preferred.
The predicted salary is between 47840 - 64640 £ per year.
A great opportunity has arisen for a mid-level Data Analyst to join a world-renowned specialist manufacturer on an 8-month inside of IR35 temporary contract. Due to a sustained period of growth, my client needs immediate support with data collection, analysis, reporting, and revenue-generation activities. The successful Data Analyst will be comfortable working with large volumes of financial data, extracting information from multiple systems, and producing accurate reports to support key critical business decision-making.
This is a hands-on Data Analyst role requiring someone who can quickly understand existing processes, work to tight deadlines, and proactively engage with stakeholders across global teams to obtain required information. It will suit a Data Analyst who has either come from or worked within Accounting, Finance, Forecasting, or Budgeting.
Data Analyst Key Responsibilities:- Manually generate, collate, and refresh datasets used for revenue reporting and forecasting.
- Extract and consolidate data from various sources, including ERP systems and ClickView, into Excel-based reports.
- Interrogate and analyse large datasets to identify trends, issues, and opportunities.
- Produce regular reporting and insights for senior management.
- Support forecasting and budgeting activities.
- Manage global stakeholder engagement, proactively chasing data and information from colleagues across multiple regions (e.g., Europe and wider international teams).
- Drive process improvements to increase efficiency and data accuracy.
- Ensure reporting deadlines and business priorities are met.
- Proven experience collecting, managing, and analysing large volumes of data.
- Strong Excel skills, including data manipulation, analysis, and reporting.
- Experience working with databases and ERP systems.
- Ability to extract, cleanse, and combine data from multiple sources.
- Strong verbal communication skills and confidence engaging with stakeholders globally.
- Experience producing management reports and presenting findings to senior stakeholders.
- Background in Accounting, Finance, Forecasting, or Budgeting preferred.
- Strong organisational skills with the ability to manage competing priorities and tight deadlines.
My client is looking for someone immediately, so this will have a fast turnaround time. If you're available immediately and you're a Data Analyst who has worked within financial data analysis, and you possess strong Excel skills, then please reach out and contact Lee at MARS Recruitment.
Data Analyst in High Wycombe employer: MARS Recruitment
Mars Recruitment is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Oxford. With a focus on employee growth, we provide ample opportunities for professional development alongside a competitive salary package and a unique 9-day working fortnight, ensuring a healthy work-life balance. Join us to be part of a team that values high-quality delivery and customer satisfaction in high-precision projects.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in High Wycombe
✨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 MARS Recruitment 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 MARS Recruitment.
✨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 MARS Recruitment.
We think you need these skills to ace Data Analyst in High Wycombe
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at MARS Recruitment, 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 MARS Recruitment, 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 MARS Recruitment’s attention and show the tangible impact of your work.
How to prepare for a job interview at MARS Recruitment
✨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 MARS Recruitment.
✨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 MARS Recruitment.
✨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 MARS Recruitment.
