Data Analytics Manager-Creditsafe Cardiff CF10•Hybrid remote Full-time

Full time @Data Science Career in Data Analytics Email Job

Job Detail

  • Job ID 21786
  • Sector Data Analytics

Job Description

We are currently looking for A Data Analytics Manager to Join our Cardiff Bay Global Data Team.


Privately owned and independently-minded, Creditsafe operates with the singular vision of powering business decisions. We do this by delivering valuable intelligence on customers, suppliers and potential buyers to corporates, public sector organisations and SMEs globally.

Our journey began in 1997 in Oslo, Norway in 1997, with a revolutionary dream to make business information accessible to all. Twenty-five years later, we’ve not only realised this dream, changed the market for the better, made data intelligence accessible to all businesses big and small but most importantly, opened up new avenues of data intelligence for businesses with machine learning, AI and connected data.

From risk management through to opportunity identification, our industry-leading solutions, power decisions for companies by turning their data into actionable insights that help them become stronger, grow faster and thrive.


This role sits within the Creditsafe group, and the successful candidate will manage and grow a team of data scientists in our group office. You’ll join the Data Science team working directly for the Chief Data Officer in our Cardiff HQ and will take over existing team members as well as build out a new team of Data Scientists. The team are involved in a lot of activities including data analysis, data modelling, development of machine learning models, development of other models to create more value for our clients and more.



We are looking for an analytics manager to join our growing team of data experts and manage the processes and people responsible for accurate data collection, processing, modelling, and analysis.

Can you see solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our company? Working closely with leaders across product, sales, and marketing to support and implement high-quality, data-driven decisions. They will ensure data accuracy and consistent reporting by designing and creating optimal processes and procedures for analytics employees to follow. They will use advanced data modelling, predictive modelling, and analytical techniques to interpret key findings from company data and leverage these insights into initiatives that will support business outcomes.


  • Lead cross-functional projects using advanced data modelling and analysis techniques to discover insights that will guide strategic decisions and uncover optimization opportunities.
  • Build, develop and maintain data models, reporting systems, data automation systems, dashboards and performance metrics support that support key business decisions.
  • Oversee the design and delivery of reports and insights.
  • Recruit, train, develop and supervise analyst-level employees.
  • Manage and optimize processes for data modelling, visualization, and communication deliverables.
  • Examine, interpret and report results of analytical initiatives to stakeholders in leadership teams.
  • Develop and implement quality controls and departmental standards to ensure quality standards, organizational expectations, and regulatory requirements.
  • Organize and drive successful completion of data insight initiatives through effective management of analyst and data employees and effective collaboration with stakeholders.
  • Communicate results and business impacts of insight initiatives to stakeholders within and outside of the company.

The responsibilities detailed above are not exhaustive and you may be requested to take on additional responsibilities deemed as reasonable by their direct line manager.


  • Working knowledge of data mining principles: predictive analytics, mapping, collecting data from multiple data systems on premises and cloud-based data sources.
  • Strong SQL skills, ability to perform effective querying involving multiple tables and subqueries.
  • Understanding of and experience using analytical concepts and statistical techniques: hypothesis development, designing tests/experiments, analysing data, drawing conclusions, and developing actionable recommendations for business units.
  • Experience and knowledge of statistical modelling techniques: GLM multiple regression, logistic regression, log-linear regression, variable selection, etc.
  • Experience writing advanced SAS code statements, models, and macros.
  • Experience working with and creating dashboards using all relevant data to inform decisions.
  • Strong problem solving, quantitative and analytical abilities.
  • Strong ability to plan and manage numerous processes, people, and projects simultaneously.
  • Excellent communication, collaboration, and delegation skills.
  • We’re looking for someone with at least 5 years of experience in a position monitoring, managing, manipulating, and drawing insights from data, and someone with at least 3 years of experience leading a team. The right candidate will also be proficient and experienced with the following tools/programs:
    • Strong programming skills with querying languages: SQL, Python & SAS, etc.
    • Experience with big data tools: Teradata, Aster, Hadoop, etc.
    • Experience with AWS: Redshift, S3, SageMaker, etc.
    • Experience with data visualization tools: PowerBi etc.
    • Experience with Excel, Word, and PowerPoint.


  • Competitive Salary.
  • Company Laptop supplied.
  • Bonus Scheme.
  • 25 Days Annual Leave (plus bank holidays).
  • Hybrid working model.
  • Healthcare & Company Pension.
  • Cycle to work and Wellbeing Programme.
  • Global Company gatherings and events.
  • E-learning and excellent career progression opportunities.
  • Plus more that can be found on the benefits section on the Careers page,

Creditsafe is an equal opportunities employer that values diversity. Please contact Creditsafe if there is any support you need with your application.

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