At a Glance
- Tasks: Join a dynamic team to manage data quality and governance in a leading insurance business.
- Company: A top-tier insurance company with a focus on innovation and collaboration.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: 12-month fixed-term contract with potential for career advancement.
- Why this job: Make an impact by ensuring data integrity and supporting AI governance in a fast-paced environment.
- Qualifications: Experience in data analysis, strong SQL and Python skills, and knowledge of data governance.
The predicted salary is between 40500 - 49500 £ per year.
- Data Management Analyst - Data Governance
- London / Hybrid
- 12 Month FTC
- A leading insurance business is looking for a
Data Management Analyst to join their Data Governance team on a 12-month fixed-term contract.
This is a broad data role covering data quality, metadata, taxonomy and emerging AI governance , working closely with Digital, Risk, Compliance and wider business teams.
Key Responsibilities
- Develop and maintain data quality rules, profiling routines and reporting dashboards.
- Support metadata, classification, taxonomy and data labelling across the business.
- Monitor data and AI systems, including areas such as bias, drift and performance.
- Analyse data to identify trends, anomalies, risks and potential areas for improvement.
- Maintain clear documentation around data lineage, processes, controls and governance.
- Support data and AI risk assessments and wider governance activities.
- Carry out root-cause analysis, reporting and other ad-hoc analytical work.
- Work with stakeholders across Digital, Risk & Compliance, DPO and business teams.
What They're Looking For
- Previous experience in a
Data Analyst / Data Management role.
- Strong experience with data quality, profiling and data analysis .
- Good understanding of metadata, data lineage, classification and taxonomies .
- Strong
SQL and Python skills.
- Exposure to
AI/ML concepts , particularly model monitoring, bias, drift and performance testing.
- Experience working within a regulated environment , ideally insurance or financial services.
- Understanding of
GDPR, data protection and responsible AI principles.
- Strong communication skills with the ability to explain technical information to non-technical stakeholders.
Data Management Analyst (12 Month FTC) in London employer: Harrison Holgate Careers
As a Claims Operations Manager at our esteemed Lloyd's Syndicate, you will join a dynamic team that values collaboration and innovation in a supportive work culture. We offer competitive benefits, including flexible working arrangements and opportunities for professional development, ensuring that you can grow your career while making a meaningful impact in the insurance sector. Located in a vibrant area, our workplace fosters a sense of community and encourages employees to thrive both personally and professionally.
StudySmarter Expert Advice🤫
We think this is how you could land Data Management Analyst (12 Month FTC) in London
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like Harrison Holgate Careers before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like Harrison Holgate Careers.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like Harrison Holgate Careers.
We think you need these skills to ace Data Management Analyst (12 Month FTC) in London
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at Harrison Holgate Careers, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to Harrison Holgate Careers, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab Harrison Holgate Careers’s attention and show the tangible impact of your work.
How to prepare for a job interview at Harrison Holgate Careers
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at Harrison Holgate Careers.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at Harrison Holgate Careers.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at Harrison Holgate Careers.
