At a Glance
- Tasks: Create and maintain accurate product master data across various systems.
- Company: Join a dynamic team in a hybrid role with a focus on innovation.
- Benefits: Enjoy flexible working, competitive pay, and opportunities for growth.
- Other info: Collaborate with diverse teams and enhance your career in a supportive environment.
- Why this job: Be at the forefront of new product launches and make a real impact.
- Qualifications: Detail-oriented with strong analytical skills and knowledge of SAP.
The predicted salary is between 24750 - 30250 £ per year.
- Master Data Coordinator
- Ongoing Temporary position
- Hybrid
- Role
Responsible for creating, maintaining and ensuring the accuracy of product master data across SAP S/4HANA, other business systems.
The role supports new product launches, ongoing product data maintenance and effective communication across departments and external logistics partners.
Key Responsibilities
- Create, validate and maintain material master data for finished goods, packaging and non-stock materials.
- Support New Product Development (NPD), ensuring new products are accurately set up and ready for launch.
- Maintain product information, including SKU codes, descriptions, pricing, dimensions, weights, packaging and supplier details.
- Monitor and audit master data to identify and resolve errors, discrepancies and missing information.
- Process product changes, updates and obsolete product codes in a timely manner.
- Work closely with Marketing, Finance, Procurement, Logistics, IT, Demand Planning and external logistics providers.
- Provide master data reports and support business requirements, including pricing updates and product information requests.
- Monitor data accuracy, completeness and timeliness, identifying recurring issues and opportunities for improvement.
- Ensure all data changes follow established business processes and documentation requirements.
Skills and Experience
- Strong attention to detail and accuracy.
- Good analytical, numerical and problem-solving skills.
- Good Microsoft Excel skills.
- Working knowledge of SAP; experience with SAP S/4HANA and Informatica is advantageous.
- Understanding of product master data
- Excellent communication and stakeholder management skills.
- Ability to manage competing priorities and meet deadlines.
- Strong organisational skills and a proactive, flexible approach.
- Ability to work independently and collaboratively across different departments
- #J-18808-Ljbffr
Master Data Coordinator employer: Parkside
Join a dynamic consulting team in West London as a Workday Financial Lead, where you will have the opportunity to lead impactful finance transformation projects in a hybrid working environment. Our collaborative culture fosters professional growth and offers ongoing development opportunities, ensuring you can maximise your potential while working closely with senior finance stakeholders on high-profile implementations. With a competitive salary and a focus on continuous improvement, this role is perfect for those looking to make a meaningful impact in the world of finance.
StudySmarter Expert Advice🤫
We think this is how you could land Master Data Coordinator
✨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 Parkside 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 Parkside.
✨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 Parkside.
We think you need these skills to ace Master Data Coordinator
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Parkside, 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 Parkside, 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 Parkside’s attention and show the tangible impact of your work.
How to prepare for a job interview at Parkside
✨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 Parkside.
✨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 Parkside.
✨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 Parkside.
