At a Glance
- Tasks: Analyse complex data to drive strategic decisions and improve data quality.
- Company: Reputable organisation based in Southampton with a focus on meaningful projects.
- Benefits: Remote work, mentorship opportunities, and potential for contract extension.
- Other info: Exciting chance to mentor junior analysts in a supportive environment.
- Why this job: Turn data into strategic value and contribute to organisational success.
- Qualifications: Strong analytical skills and proficiency in MS Office and Power BI.
The predicted salary is between 31500 - 38500 £ per year.
- Data Analyst
- Temporary (1 year), with potential for extension
Our client, a reputable organisation, is hiring for a talented Data Analyst to join their team in Southampton.
This is an exciting opportunity to work on meaningful projects, analysing complex data to drive strategic decisions.
Import, cleanse, validate, and analyse data from SAP, Microsoft Office, and Power BI environments.
- Draw insights, conclusions, and actionable recommendations from data sets.
- Focus on improving data quality and consistency across systems.
- Provide supervision, training, and mentorship to junior analysts.
Strong analytical skills with the ability to interpret complex data.
- Proficiency in MS Office, Power BI, and data management tools.
- This role offers a fantastic chance to contribute to organisational success through data-driven insights.
If you are passionate about turning data into strategic value, we'd love to hear from you!
If you receive suspicious outreach claiming to be from us, please contact us via the Manpower Group website.
Data Analyst - Home Based (remote) in Southampton employer: Manpower
As a leading employer in the procurement sector, we offer a flexible and remote working environment that prioritises employee well-being and work-life balance. Our collaborative culture fosters professional growth through continuous learning opportunities and meaningful projects, making it an ideal place for those looking to make a significant impact in supplier management.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst - Home Based (remote) in Southampton
✨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 Manpower 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 Manpower.
✨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 Manpower.
We think you need these skills to ace Data Analyst - Home Based (remote) in Southampton
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Manpower, 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 Manpower, 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 Manpower’s attention and show the tangible impact of your work.
How to prepare for a job interview at Manpower
✨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 Manpower.
✨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 Manpower.
✨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 Manpower.
