Data Asset Manager in Cowbridge

Data Asset Manager in Cowbridge

Cowbridge Full-Time 44640 - 48221 £ / year (est.) Hybrid
C

At a Glance

  • Tasks: Manage and improve critical data assets to support decision-making and governance.
  • Company: Join Companies House, a key player in UK public data management.
  • Benefits: Enjoy flexible working, 30 days leave, and a generous pension scheme.
  • Other info: Collaborative culture with excellent career growth opportunities.
  • Why this job: Be part of a transformative journey in data management and governance.
  • Qualifications: Experience in data management and strong analytical skills required.

The predicted salary is between 44640 - 48221 £ per year.

Location: Cardiff; Edinburgh; Belfast

Salary: 44,640 - 48,221 per year

Employment: Flexible

Category: Data Analyst

Posted: Valid to: Employer: Companies House

Job summary

Help us build a trusted understanding of one of the UK's most important public data assets. As Companies House continues its transformation journey, we're growing our Data Management team and are opening up new opportunities to develop and expand with 3 new roles as Data Asset Manager. Our focus is to understand, govern and improve the data that underpins our services.

About the role

Data is at the heart of everything we do at Companies House, and as we expand our teams we are looking for professionals bringing a detailed and creative outlook to help us build a trusted understanding of the data that supports our services, operations and strategic decision-making. This is an exciting opportunity to join us in developing capability at a time of significant transformation.

As a Data Asset Manager, you will:

  • Build and maintain the Companies House data catalogue for priority data assets.
  • Create clear and accurate records covering data definitions, ownership, metadata, source systems and lineage.
  • Work with business and technical stakeholders to capture, validate and maintain information about key data assets.
  • Investigate how data is created, transformed and used across systems and services.
  • Use SQL and other analysis techniques to explore data structures, relationships and lineage.
  • Identify, document and reconcile business rules that exist across systems, processes and business areas.
  • Translate complex technical information into clear, accessible documentation for a range of audiences.
  • Support the adoption of data asset management and governance practices across the organisation.
  • Contribute to the continuous improvement of standards, processes and ways of working within the Data Management team.

What could a typical day look like?

No two days are quite the same. One day you might be collaborating with business and technical teams to understand how critical data is created, used and maintained. The next, you could be using SQL to investigate data quality issues, validating data definitions with subject matter experts, or updating metadata and lineage records to improve transparency and governance.

Person specification

We’re looking for someone who enjoys understanding how data works and can build strong relationships with both technical and non-technical stakeholders. The successful candidate will have:

  • Experience working with data management, metadata, data governance or related disciplines.
  • Experience documenting data definitions, business rules, processes or information assets.
  • Experience gathering information from stakeholders and validating complex requirements.
  • Experience using SQL, or similar tools, to investigate and understand data.
  • Experience translating technical concepts into clear and practical documentation.
  • Experience managing competing priorities while maintaining a high level of accuracy and attention to detail.
  • Experience working collaboratively across multidisciplinary teams.

You may also have:

  • Experience working within government, the wider public sector or a regulated environment.
  • Knowledge of data governance, metadata management or data catalogue practices.
  • Awareness of data lineage, data quality and data lifecycle concepts.
  • Knowledge of recognised frameworks such as DAMA-DMBOK.
  • Relevant data, analytics or governance qualifications.

Behaviours

We’ll assess you against these behaviours during the selection process:

  • Changing and Improving
  • Making Effective Decisions
  • Working Together
  • Managing a Quality Service

Technical skills

We’ll assess you against these technical skills during the selection process:

  • Experience using SQL or similar tools to interrogate data.

Benefits

Alongside your salary of 44,640, Companies House contributes 12,932 towards you being a member of the Civil Service Defined Benefit Pension scheme.

Join Companies House and discover a role that offers more than just a job, with flexibility, career development and a genuinely supportive culture where you can thrive:

  • Flexible working from day one – hybrid working, flexible hours and flexitime.
  • A generous, competitive package – including 30 days annual leave + 8 bank holidays + 1 privilege day, plus family leave and sickness provision.
  • We invest in your future – funded training, professional qualifications and clear career progression pathways.
  • A modern and welcoming workplace – collaboration spaces, on-site facilities and an office you’ll enjoy.
  • Stand-out location benefits – including free parking in Cardiff and on-site amenities across all locations.
  • Wellbeing at the heart of what we do – occupational health support, mental health advocates and wellbeing initiatives.
  • A friendly, social and inclusive culture – staff networks, sports and social groups and volunteering opportunities.
  • Security you can count on – Civil Service Pension Scheme with employer contributions of around 28%.

We celebrate diversity...

As an equal opportunity employer, we celebrate diversity, being committed to ensuring we’re representative of the citizens we serve and creating an inclusive environment. Everyone in Companies House brings something different, and so will you.

Data Asset Manager in Cowbridge employer: Companies House

Companies House is an exceptional employer, offering a flexible and inclusive work culture that prioritises employee wellbeing and work-life balance. With a strong commitment to career development, employees benefit from a comprehensive package that includes generous annual leave, a robust pension scheme, and opportunities for continuous learning and progression within a supportive community. Located in vibrant Cardiff or Edinburgh, this role allows you to be part of a significant digital transformation, contributing to meaningful public services while enhancing your technical and leadership skills.

C

Contact Details:

Companies House Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Asset Manager in Cowbridge

✨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 Companies House!

✨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 Asset Manager at Companies House.

✨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 Companies House.

✨Apply Directly through Our Website

When you find a suitable opening like Data Asset Manager at Companies House, 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 Asset Manager in Cowbridge

Data Management
Metadata Management
Data Governance
SQL
Analytical Thinking
Stakeholder Engagement
Data Quality Improvement

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 Companies House, 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 Companies House. 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 Companies House

✨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 Companies House!

✨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.