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Markerstudy is a leading provider of private insurance in the UK, insuring around 5% of the private cars on the UK roads, % of commercial vehicles, and over % of motorcycles in total premium levels of circa £1.2b. The majority of business is written as the insurance pricing provider behind household names such as Co-op, Sainsbury’s, O2, Halifax, AA, Saga, and Lloyds Bank, to list a few. Markerstudy also has a large and growing direct presence in the market as well.
Role Purpose:
Working with the Head of MI Development to deliver high-quality data management across Markerstudy. You will be responsible for providing meaningful management information data into the business to support improved financial and operational performance, managing and maintaining technical solutions, and BAU support.
To act as a mentor to more junior team members, utilizing their advanced system knowledge to bring on the wider team and ensure adherence to FSA, TCF, GDPR Regulations, and completion of Mandatory E-Learning.
Responsibilities:
1. Support the Head of MI Development with building, maintaining, and improving the MISL data warehouse.
2. Model and transform data from new data sources to support the growing Markerstudy brand, using data modelling techniques to normalise and integrate multiple data sources for business value.
3. Proactively develop ideas, concepts, and relationships to support department data initiatives that inform the strategic direction of the business.
4. Support ongoing migration to SAS Viya and utilise new technology to improve ETL processes.
5. Review data processing methods to improve efficiency and processing times.
6. Promote data governance activities, policies, and procedures.
7. Drive continuous improvements in data quality standards.
8. Assist with resolving data issues, identifying root causes, and implementing sustainable solutions.
9. Prioritise data risks and report accordingly.
10. Ensure daily data processing completes on time with no failures.
11. Previous experience in a data warehouse or BI role.
12. Experience coding in SAS and SAS Macro.
13. Experience with SAS DI Studio & Enterprise Guide.
14. Experience with data modelling, ETL concepts, and data warehousing techniques.
15. Knowledge of data quality management concepts.
16. Advanced Excel skills.
17. Strong problem-solving skills.
18. Excellent data analysis and presentation skills.
19. Strong communication skills, able to explain technical details clearly to non-technical stakeholders.
20. Ability to operate effectively in a fast-changing environment, tackling issues without clear precedents.
21. Confidence in judgment and decision-making, viewing challenges as opportunities for development.
22. Experience with SAS Viya, SAS Visual Analytics, SQL Server, Apache Airflow, and MS DevOps for workflow and CI/CD pipelines.
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