Data Manager in Liverpool

Data Manager in Liverpool

Liverpool Full-Time 49500 - 60500 £ / year (est.) Home office (partial)
V

At a Glance

  • Tasks: Manage and enhance data quality, ensuring accuracy for reporting and decision-making.
  • Company: Vitaflo, a leader in clinical nutrition with a mission to enhance lives.
  • Benefits: Competitive salary, 25 days leave, gym membership, and private healthcare.
  • Other info: Flexible working environment with opportunities for professional growth.
  • Why this job: Join a passionate team making a real difference in patients' lives.
  • Qualifications: Degree in Computer Science or related field; experience in data management required.

The predicted salary is between 49500 - 60500 £ per year.

Founded in 1997, Vitaflo develops specialised clinical nutrition products for patients with inherited metabolic disorders, paediatric kidney disease and those requiring specialist diets, including the ketogenic diet.

With a global presence, our research and innovation are driven by the needs of the patients we serve.

Behind our products is a dedicated and collaborative team, united by a shared passion to make a meaningful difference to patients’ lives.

This dedication is reflected in our people—90% of employees said in our 2025 survey that they are proud to work at Vitaflo.

Our mission, Enhancing Lives Together, sits at the centre of our business, guiding our decisions, our innovation, and our commitment to patients and their families.

Data Manager

We are currently looking to recruit a Data Manager to join the Process Transformation team at our Liverpool Headquarters on a full-time, Permanent Contract.

This role maintains and governs core datasets, enhances data quality, and ensures data is accessible for reporting, analysis, and decision-making.

The Data Manager is responsible for performing regular data administration activities, data quality reviews, and corrective actions to resolve data issues and maintain data integrity.

The Data Manager works closely with the Finance team and wider business stakeholders to develop, implement, and continuously improve data standards, governance frameworks, and data‑driven solutions.

Benefiting from the opportunity to work flexibly.

What will you do?

  • Conduct data entry tasks with meticulous attention to detail, ensuring data accuracy and completeness.

Perform regular data quality checks to identify and resolve data inconsistencies or errors.

  • Ensure data integrity, consistency and quality by enforcing data standards and naming conventions. Whilst maintaining and updating relevant documentation.
  • Collaborate with business stakeholders to generate regular and ad-hoc reports. Develop and maintain data dashboards.
  • Collaborate with stakeholders to identify data needs and design solutions to support effective data interpretation and business decision‑making.
  • Implement data security measures to protect sensitive and confidential information, ensuring compliance with data protection regulations and making sure that the correct user permissions are in place — including conducting regular segregation of duty (So D) checks to identify and mitigate conflicting access rights.
  • Coordinate data integration efforts across various systems and platforms. Troubleshooting any data integration issues and resolving data inconsistencies
  • Monitor and optimize database performance, including indexing, query optimisation, and data archiving.
  • Act as the Data Owner for the ERP system, ensuring data governance standards are upheld, overseeing data lifecycle management, approving data changes, and ensuring system data remains accurate, secure, and fit for business use.
  • Subject matter expert for tactical automation e. g. excel, Power Bi and Monday. com

Essential

  • Bachelor's degree (or equivalent) in Computer Science, Information Systems, or a related field
  • Proven experience as a Data Manager or in a similar role
  • Experience maintaining and governing master data within business systems and the ERP platforms.
  • Familiarity with data security and privacy practices
  • Strong attention to detail and accuracy
  • Excellent problem‑solving and analytical skills
  • Effective communication and interpersonal skills
  • Advanced Excel and Power Bi skills, including data analysis and reporting.
  • Experience creating and maintaining dashboards and business reports in Power Bi

What we offer?

  • Competitive salary
  • 25 days annual leave (pro rata for part time) plus bank holidays and Christmas shut down
  • Discretionary bonus scheme (subject to qualifying period)
  • Gym membership/allowance (subject to qualifying period)
  • Employer pension contribution (3% rising to 5% subject to qualifying period then matched to a maximum of 10%). Employee minimum contributions apply
  • Private healthcare (subject to qualifying period)
  • Volunteering opportunities
  • Cycle to work scheme (subject to qualifying period)

At Vitaflo (International) Ltd, our values are rooted in respect - for our employees, our customers and our patients.

That's why championing diversity and inclusion is so important to us; when we embrace different perspectives and give everyone the chance to be the best they can be, we can think in new, creative ways that grow and enhance our business.

We are committed to equal opportunity for all, and we may collect relevant anonymized data for monitoring purposes during our candidate registration process.

#J-18808-Ljbffr

Data Manager in Liverpool employer: Vitaflo

Vitaflo is an exceptional employer, offering a collaborative and inclusive work culture that prioritises the well-being of its employees while making a meaningful impact on patients' lives. Located in Liverpool, the company provides competitive salaries, generous annual leave, and opportunities for professional growth, alongside unique benefits such as gym memberships and private healthcare. With a strong commitment to diversity and inclusion, Vitaflo fosters an environment where every team member can thrive and contribute to innovative solutions in clinical nutrition.

V

Contact Details:

Vitaflo Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Manager in Liverpool

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Vitaflo!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Manager at Vitaflo.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Vitaflo.

Apply Directly through Our Website

When you find a suitable opening like Data Manager at Vitaflo, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Manager in Liverpool

Communication Skills
Problem-Solving Skills
Attention to Detail
Python
SQL
Automation
Data Governance

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Vitaflo, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Vitaflo. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Vitaflo

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Vitaflo!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.