At a Glance
- Tasks: Ensure trusted and compliant data across insurance platforms while supporting key initiatives.
- Company: Leading insurance firm focused on data governance and quality.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative environment with excellent career advancement opportunities.
- Why this job: Join a dynamic team and make a real impact on data management in the insurance sector.
- Qualifications: Strong insurance domain knowledge and experience in data governance and quality.
The predicted salary is between 60750 - 74250 £ per year.
We are looking for a Data Management Specialist with strong Insurance domain expertise to support data governance, data quality, and data lifecycle management initiatives. The role will focus on ensuring trusted, compliant, and well-governed data across insurance platforms, supporting key initiatives such as finance transformation, data retention, archival, and regulatory compliance. The specialist will work closely with Data Architects, Engineering, and Business teams to ensure data is accurate, consistent, secure, and audit ready.
- Insurance domain mandatory (Policy / Claims / Finance data)
- Strong in data governance, quality, and reconciliation
- Experience in finance transformation / reporting programs
- Exposure to EDP / Databricks preferred
- Experience in retention, archival, and compliance (GDPR)
Key Responsibilities
- Data Governance & Data Quality
- Finance Data Governance & Quality
- Define and implement data governance controls for finance transformation programs
- Establish and monitor:
- Data quality rules
- Reconciliation checks across policy, claims, and finance datasets
- Ensure accuracy, consistency, and completeness of financial data
- Support creation of a single source of truth for financial reporting
Data Management Specialist – Insurance (Governance & Data Quality) in Horsham employer: Test Triangle
As a Data Management Specialist in our dynamic insurance environment, you will thrive in a culture that prioritises collaboration and innovation. We offer comprehensive benefits, continuous professional development opportunities, and a commitment to maintaining a supportive work-life balance, all while being part of a team dedicated to ensuring data integrity and compliance. Join us in a location that fosters growth and provides unique insights into the insurance sector, making your contributions impactful and rewarding.
StudySmarter Expert Advice🤫
We think this is how you could land Data Management Specialist – Insurance (Governance & Data Quality) in Horsham
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We think you need these skills to ace Data Management Specialist – Insurance (Governance & Data Quality) in Horsham
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 Test Triangle, 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 Test Triangle. 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 Test Triangle
✨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 Test Triangle!
✨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.
