At a Glance
- Tasks: Support a major supplier transition by managing and validating large volumes of data.
- Company: Join a dynamic team at a leading employment consultancy focused on inclusivity.
- Benefits: Hybrid working, competitive pay, and opportunities for professional growth.
- Other info: Open to all backgrounds; excellent career development opportunities await.
- Why this job: Make a real impact by ensuring data accuracy during a crucial transition phase.
- Qualifications: Strong Excel skills and experience in data analysis are essential.
The predicted salary is between 29250 - 35750 £ per year.
Contract: 6 months
Location: Bristol preferred, but open to candidates based anywhere in the UK (excluding London office) - Hybrid
Background: Open to all backgrounds
Inside IR35
Role Overview
We are seeking a highly detail-oriented Data Analyst to support a significant supplier transition programme. With a large volume of data coming through as the business moves into the new year, this individual will play a key hands-on role in supporting the transition of work to three key suppliers, the majority of which are large-scale providers. The successful candidate will work closely with suppliers to gather, review, validate and consolidate data, ensuring its accuracy and completeness before it is fed into developing automation processes. This is a very hands-on, operational data role. The immediate requirement is for someone who can take ownership of the day-to-day data gathering and validation activities, work independently and help manage the significant manual workload currently involved. A new module is being developed to support and automate these processes, but it is not expected to be ready until July 2027. In the meantime, the successful candidate will provide essential support to keep the transition moving and ensure data is accurate and fit for purpose.
Key Responsibilities
- Liaise directly with three key suppliers to obtain and gather relevant data.
- Build effective working relationships with suppliers and follow up on outstanding information.
- Review, cleanse and validate incoming data, identifying inaccuracies, inconsistencies and missing information.
- Ensure supplier data is accurate, complete and suitable for use within internal systems and processes.
- Consolidate and structure large volumes of data from multiple suppliers.
- Support the transition of work and data from suppliers into the business.
- Work with existing and developing automation processes to ensure data is correctly prepared and usable.
- Undertake manual data processing and validation activities while the new module is being developed.
- Identify and resolve data discrepancies, working directly with suppliers where necessary.
- Maintain high levels of accuracy and attention to detail throughout the process.
Essential Skills & Experience
- Strong Excel skills are essential, with the ability to work confidently with large volumes of data.
- Proven experience working with, analysing and validating data.
- Excellent attention to detail and a methodical approach to work.
- Confident communicating directly with external suppliers and stakeholders.
- Ability to identify errors, inconsistencies and gaps within datasets.
- Comfortable undertaking hands-on, manual data processing and administration.
- Able to work independently, manage their own workload and drive outstanding data requests through to completion.
- Strong organisational and problem-solving skills.
Desirable Skills
- Experience with Power BI or other reporting and data visualisation tools.
- Experience working within supplier management, supplier transitions or data migration activities.
- Exposure to automation processes and working with data ahead of system integration.
TO APPLY - PLEASE APPLY WITH AN UP-TO-DATE CV. Candidates will ideally show evidence of the above in their CV in order to be considered. Please be advised if you haven't heard from us within 48 hours then unfortunately your application has not been successful on this occasion, we may however keep your details on file for any suitable future vacancies and contact you accordingly.
Data analyst - supplier transition employer: Pontoon
Join a forward-thinking organisation in Warwick that values innovation and collaboration, offering a hybrid work model that promotes work-life balance. As a Strategic Comms & Engagement Lead, you'll thrive in a supportive environment that prioritises employee growth through continuous learning opportunities and a culture of open communication. With a commitment to enhancing the visibility of Asset Management, you'll be part of a dynamic team that encourages creativity and strategic thinking, making it an excellent place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data analyst - supplier transition
✨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 Pontoon 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 Pontoon.
✨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 Pontoon.
We think you need these skills to ace Data analyst - supplier transition
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Pontoon, 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 Pontoon, 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 Pontoon’s attention and show the tangible impact of your work.
How to prepare for a job interview at Pontoon
✨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 Pontoon.
✨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 Pontoon.
✨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 Pontoon.
