Data Management Specialist â Insurance (Governance & Data Quality) in Horsham

Data Management Specialist â Insurance (Governance & Data Quality) in Horsham

Horsham Full-Time 50000 - 60000 € / year (est.) No home office possible
Test Triangle

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 a focus on innovation and compliance.
  • Why this job: Join a dynamic team and make a real impact on data management in the insurance sector.
  • Qualifications: Strong expertise in insurance data governance and finance transformation required.

The predicted salary is between 50000 - 60000 € 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 â 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 robust employee growth opportunities, competitive benefits, and a commitment to data integrity that empowers you to make a meaningful impact on our governance and quality initiatives. Join us in a location that fosters professional development while ensuring compliance and excellence in data management.

Test Triangle

Contact Detail:

Test Triangle Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Management Specialist â Insurance (Governance & Data Quality) in Horsham

Tip Number 1

Network like a pro! Reach out to folks in the insurance and data management sectors. Attend industry events or webinars, and don’t be shy about sliding into DMs on LinkedIn. We all know that sometimes it’s not just what you know, but who you know!

Tip Number 2

Show off your skills! Create a portfolio or a personal project that highlights your expertise in data governance and quality. This can really set you apart from the crowd. We love seeing practical examples of how you’ve tackled real-world problems.

Tip Number 3

Prepare for interviews by brushing up on common questions related to data management and the insurance domain. We recommend practising your answers with a friend or even in front of the mirror. Confidence is key, and knowing your stuff will help you shine!

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate candidates who are ready to make an impact in the data management space.

We think you need these skills to ace Data Management Specialist â Insurance (Governance & Data Quality) in Horsham

Insurance Domain Expertise
Data Governance
Data Quality Management
Data Lifecycle Management
Finance Transformation
Data Reconciliation
Regulatory Compliance (GDPR)

Some tips for your application 🫡

Know Your Stuff:Make sure you highlight your experience in the insurance domain, especially around policy, claims, and finance data. We want to see that you understand the ins and outs of data governance and quality!

Tailor Your Application:Don’t just send a generic CV! Tailor your application to reflect how your skills align with our needs in data governance and finance transformation. Show us why you're the perfect fit for this role.

Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your key achievements and experiences shine through without any fluff.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!

How to prepare for a job interview at Test Triangle

Know Your Data Governance Basics

Make sure you brush up on data governance principles, especially in the insurance sector. Be ready to discuss how you've implemented data quality controls in past roles and how they relate to finance transformation initiatives.

Showcase Your Insurance Expertise

Since the role requires strong insurance domain knowledge, prepare examples from your experience with policy, claims, or finance data. Highlight specific projects where you ensured data accuracy and compliance, as this will resonate well with the interviewers.

Familiarise Yourself with Relevant Tools

If you have experience with EDP or Databricks, be sure to mention it! Even if you haven't used these tools directly, understanding their purpose and how they fit into data management can give you an edge in the conversation.

Prepare for Scenario-Based Questions

Expect questions that ask you to solve hypothetical data quality issues or governance challenges. Think through your problem-solving process and be ready to explain how you would establish data quality rules or reconciliation checks in a real-world scenario.