At a Glance
- Tasks: Join us as a Data Analyst to manage data quality and enhance monitoring controls.
- Company: We're a leading firm in data management, committed to excellence and innovation.
- Benefits: Enjoy a hybrid work model with competitive pay and potential for contract extension.
- Other info: This is an 8-month contract with a chance to extend; perfect for gaining valuable experience.
- Why this job: Make an impact by improving data processes while working in a dynamic team environment.
- Qualifications: 3+ years in data roles, strong SQL skills, and experience in data risk management required.
The predicted salary is between 36000 - 60000 £ per year.
Your new companyYou will be working for a large, well-known company who are a reputable force within their industry.
Your new role
- Work with executives, directors, and heads of departments to capture organisational hierarchy for the new HR and Payroll solution.
- Analyse data sets, evaluate differences, and identify potential issues.
- Liaise closely with IT enterprise architecture and internal data teams to ensure data governance and data lineage.
- Establish data governance and ensure the quality, integrity, and security of data within the HR and Payroll solution.
- Identify opportunities for process improvements and data innovation.
- Prepare recommendations for organisational hierarchy and HR and Payroll master data structure design.
- Ensure effective communication during the project lifecycle.
- Identify and mitigate risks and resolve issues.
- Ensure project deadlines related to data are met.
- Manage external relationships effectively and efficiently.
What you\'ll need to succeed
- Prior experience in HR and Payroll enterprise solutions.
- Experience with Dayforce is desirable, but not essential.
- Previous corporate data design experience.
- HR and Payroll system experience.
- Strong data analysis skills.
- Excellent communication and grammatical skills.
- Excellent organisational skills with the ability to work to deadlines and prioritise effectively.
- Strong attention to detail.
What you\'ll get in returnA contract role lasting up to six months, paying up to £500 per day with the role being Outside IR35. The role is based in Milton Keynes with hybrid working on offer.
What you need to do now
If you\'re interested in this role, click \'apply now\' to forward an up-to-date copy of your CV, or call us now.
If this job isn\'t quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.
Hays EA is a trading division of Hays Specialist Recruitment Limited and acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C\'s, Privacy Policy and Disclaimers which can be found at hays.co.uk
Data Analyst in Northampton employer: Hays
Join a large, reputable company in Milton Keynes that values innovation and employee growth. With a strong focus on data governance and process improvement, you'll have the opportunity to work closely with executives and IT teams, fostering a collaborative work culture. Enjoy the benefits of hybrid working and a competitive contract rate, all while contributing to meaningful projects that enhance organisational efficiency.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analyst in Northampton
✨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 Hays 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 Hays.
✨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 Hays.
We think you need these skills to ace Data Analyst in Northampton
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Hays, 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 Hays, 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 Hays’s attention and show the tangible impact of your work.
How to prepare for a job interview at Hays
✨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 Hays.
✨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 Hays.
✨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 Hays.
