At a Glance
- Tasks: Cleanse data and resolve issues in Unit4 while collaborating with various business units.
- Company: Dynamic company in London offering a hybrid work environment.
- Benefits: Competitive daily rate, flexible working, and a chance to enhance your skills.
- Other info: Opportunity for growth in a fast-paced, collaborative setting.
- Why this job: Make a real impact by improving data quality and supporting key business decisions.
- Qualifications: Experience with Unit4 and strong problem-solving skills required.
The predicted salary is between 51750 - 63250 £ per year.
Job Description
- Unit 4 Specialist
- Duration - 3 months (Initially)
- Location - London (Hybrid)
- IR35 - Inside (Must use an umbrella company)
Scope of Work
- Work systematically through the cleansing workbooks and prioritised exception backlog.
- Investigate underlying Unit4 records and determine the required correction, disposition or business decision.
- Engage Business Units and named data owners to validate decisions and obtain evidence of approval.
- Apply agreed corrections where authorised, or document the required change for controlled implementation.
- Resolve migration rejects caused by source-data quality, retesting or providing evidence of resolution as appropriate.
- Maintain an auditable record of corrections, decisions, approvals, unresolved exceptions and supporting evidence.
- Escalate items requiring policy interpretation, ownership confirmation or wider business decisions.
- Provide regular progress, risk, dependency and exception reporting to the hiring manager and programme governance.
Key Responsibilities
- Own day-to-day progression of the assigned cleansing backlog and keep records current.
- Use Unit4 Back End/client knowledge and data structures to investigate issues accurately.
- Coordinate efficiently with Finance, HR, Payroll, supplier-management, project and other relevant data owners.
- Distinguish technical corrections from decisions that require business ownership or policy approval.
- Protect data confidentiality and comply with organisational information-security and access-control requirements.
- Raise risks early where timescales, access, ownership, data quality or decision delays threaten the DM-2 objective.
- Work collaboratively with the ERP programme, migration team and Business Units without displacing data-owner accountability.
Unit 4 Specialist in London employer: Adecco
Our client in Worthing is an excellent employer, offering a supportive work culture that values teamwork and individual contributions. With competitive pay and flexible hours, employees enjoy a balanced work-life dynamic while having access to growth opportunities within the manufacturing sector. This role as a Kitting Operative not only provides meaningful work but also allows you to be part of a respected organisation committed to excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Unit 4 Specialist in London
✨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 Adecco 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 Adecco.
✨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 Adecco.
We think you need these skills to ace Unit 4 Specialist in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Adecco, 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 Adecco, 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 Adecco’s attention and show the tangible impact of your work.
How to prepare for a job interview at Adecco
✨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 Adecco.
✨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 Adecco.
✨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 Adecco.
