PIM Data Steward in Newport

PIM Data Steward in Newport

Newport Full-Time 30000 - 40000 € / year (est.) No home office possible
HireTalent - Staffing & Recruiting Firm

At a Glance

  • Tasks: Ensure product data accuracy and support teams with data management.
  • Company: Join a dynamic team in a remote, UK-based role.
  • Benefits: 1-year contract with potential extension and flexible working.
  • Other info: Opportunity to work with cutting-edge PIM systems and grow your career.
  • Why this job: Make an impact on product data quality in a fast-paced environment.
  • Qualifications: 3 years of data management experience and strong Excel skills.

The predicted salary is between 30000 - 40000 € per year.

Contract Duration: 1-year contract with potential for extension

Location: Remote (UK-based)

We are setting up a new role to support product information preparation for one of the sales channels in the EMEA region. This person will be responsible for the following:

Key Responsibilities:
  • Validate that mandatory product data provided by business teams is accurate and complete;
  • Upload product data into the PIM system and resolve data gaps, including coordinating with multiple stakeholders to complete missing information;
  • Syndicate product data into channel-specific templates and resolve any related issues;
  • Support business teams when they encounter issues using product data for the channel;
  • Clarify and communicate data issues and requirements to stakeholders to ensure data quality and accuracy;
  • Create, track, and report on the status of product data requests;
  • Reconfigure and maintain syndication templates in inRiver.
Required Skills & Experience:
  • Minimum of 3 years of experience working with data management principles and practices;
  • Experience working with Vendor Central and/or inRiver is a strong plus.
  • Ability to leverage multiple tools to support data stewardship activities;
  • Good understanding of the data lifecycle;
  • Strong Excel skills;
  • Strong communication skills with both business and technical audiences;
  • Knowledge of PIM and/or ERP systems is a plus.
  • Fluent in written and spoken English.

PIM Data Steward in Newport employer: HireTalent - Staffing & Recruiting Firm

As a PIM Data Steward at our company, you will join a dynamic and supportive remote work culture that prioritises employee growth and development. We offer competitive benefits, including flexible working hours and opportunities for professional advancement, all while being part of a collaborative team dedicated to ensuring data quality across our EMEA sales channels.

HireTalent - Staffing & Recruiting Firm

Contact Detail:

HireTalent - Staffing & Recruiting Firm Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land PIM Data Steward in Newport

Tip Number 1

Network like a pro! Reach out to your connections in the industry and let them know you're on the hunt for a PIM Data Steward role. You never know who might have the inside scoop on job openings or can put in a good word for you.

Tip Number 2

Prepare for those interviews! Brush up on your data management principles and be ready to discuss your experience with tools like Vendor Central and inRiver. We want you to showcase your strong Excel skills and how you've tackled data issues in the past.

Tip Number 3

Don’t forget to follow up! After an interview, shoot a quick thank-you email to express your appreciation. It’s a great way to keep your name fresh in their minds and show that you’re genuinely interested in the role.

Tip Number 4

Apply through our website! We’ve got all the latest job listings, and applying directly can sometimes give you an edge. Plus, it shows you’re proactive and really keen on joining our team.

We think you need these skills to ace PIM Data Steward in Newport

Data Management Principles
PIM System Knowledge
Vendor Central Experience
inRiver Experience
Data Stewardship Activities
Data Lifecycle Understanding
Excel Skills

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the PIM Data Steward role. Highlight your experience with data management and any relevant tools like Vendor Central or inRiver. We want to see how your skills match what we're looking for!

Showcase Your Communication Skills:Since this role involves liaising with multiple stakeholders, it's crucial to demonstrate your strong communication skills. Use examples in your application that show how you've effectively communicated data issues or requirements in the past.

Be Detail-Oriented:As a PIM Data Steward, attention to detail is key. In your application, mention specific instances where your meticulous nature helped resolve data gaps or improve data quality. We love candidates who take pride in their work!

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!

How to prepare for a job interview at HireTalent - Staffing & Recruiting Firm

Know Your Data Management Principles

Make sure you brush up on data management principles and practices before the interview. Be ready to discuss your experience with data accuracy, completeness, and lifecycle management, as these are crucial for the PIM Data Steward role.

Familiarise Yourself with PIM Systems

If you have experience with Vendor Central or inRiver, highlight it! If not, do some research on these systems. Understanding how they work will show your commitment and readiness to tackle the responsibilities of the role.

Prepare for Stakeholder Communication

Since this role involves coordinating with multiple stakeholders, think of examples where you've successfully communicated data issues or requirements. Being able to articulate your communication skills will set you apart.

Excel Skills Are Key

Brush up on your Excel skills, especially if you’ve used advanced functions or data manipulation techniques. Be prepared to discuss how you've used Excel in past roles to manage or analyse data effectively.