Data Controller

Chester
1 month ago
Applications closed

Related Jobs

View all jobs

Project Controller

Document Controller

Project Controller

Production Controller

Financial Controller

Financial Controller

Job Title: Data Controller

Location: Chester / Remote Working

Salary: £35,000 per annum

Job Type: Full time, Permanent

The hours of work are:

Monday-Wednesday 8:30am-4:30pm Chester office
Thursday-Friday 8:30am -4:30pm RemoteAre you interested in a career with WSA?

Due to continued growth at our Chester office, we have an exciting opportunity of Data Controller within our Customer Experience team.

WS Audiology group was formed in 2019 through a merger with Widex and Signia combining over 140 years' experience in pioneering the use of technology to help people with hearing loss hear the sounds that make life wonderful! We are active in over 125 markets and employ in excess of 11,000 people worldwide. Our broad portfolio of hearing related products and services generates annual revenues in excess of 2 billion EUR.

Key Responsibilities:

The successful candidate will:

Be responsible for ensuring all master data is maintained and managed with a clear focus on data quality
Update and maintain account information - working in Infor and any legacy systems to manage account data
Data is maintained in line with company policies and that any changes or discrepancies are identified and updated
Mitigate business risks
Manage onboarding process for new customer accounts to ensure data accuracy and key stakeholder communication
New account set up of documents including Amber Road checks, ensuring CRM contacts are created
Maintain product data within eCommerce systems and preparing item data for product registrations and any future solutions to ensure all product information is available to customers to order
Update and maintain item data in line with new launches and any changes as required to ensure continued availability of all products to market
Update and maintain price books within Infor and legacy systems for all brands, including bespoke SLAs for customers
To maintain Master Data within Infor (ERP) and legacy systems, to include account, contact, pricing, item, pack in, add on and GT (Global Template) data
To be a key point of contact for Key Accounts in relation to Pricing and Item setup
To work with the local marketing department to support product launches and any additional duties related to launch activities
Manage the Pack in item process for all brands, including IFU forecasts to ensure correct items available on orders shipped from EDC
Manage warranty information setup to ensure correct requirements are maintained within ERP system
Maintain set up for Global Template Documents to ensure correct output docs are available to customers based on requirements. This includes offering bespoke documents based on customer requests
Any other duties as required to support Master Data and Customer Experience teamAbout you:

Essential Experience

The successful candidate will:

Be highly motivated, focused and inspiring
Have an impeccable eye for attention to detail
Have problem-solving logic to ensure all business risks are mitigated
Excellent knowledge of Infor (ERP), data management
Experience of working with CRM system
Strong process management skills
Experience in local and global project management
Strong team players with the ability to influence key stakeholders.
Have a High level of initiative, organisation and personal results orientation, communications skills, team skills
Ability to embrace change and manage fast changing situations and prioritiesDesirable:

It is desirable but not essential that the successful candidate will:

Have salesforce experienceBenefits:

The Data Controller will be rewarded with a fantastic benefits package including:

26 days annual leave plus bank holidays
Company bonus scheme
Contributory pension scheme
Life assurance
Free onsite parking and moreThis is a fantastic opportunity for the right candidates to join a forward thinking, fast paced global organisation.

If you have previous experience in data control and are interested in learning more about the vacancy, we'd love to hear from you!

Candidates with experience of; Customer Services Executive, Data Controller, Data Coordinator, Database Administrator, Data Project Management, Global Project Management, Data Entry Administrator may also be considered for this role

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.

Jobs

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Jobs

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.