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- Tasks: Lead agile projects and manage data delivery in the insurance sector.
- Company: Join a forward-thinking insurer focused on innovative data solutions.
- Benefits: Enjoy remote work, a competitive salary, bonuses, and private medical insurance.
- Why this job: Make a real impact in a dynamic team while shaping the future of insurance data.
- Qualifications: 5-10 years in data PM/BA roles; SQL and Snowflake knowledge preferred.
- Other info: Work remotely with one paid day in London each month.
The predicted salary is between 48000 - 56000 £ per year.
Project Manager / Data Business Analyst – Insurance Data | UK Remote | Circa £80k + Bonus + Benefits
Are you passionate about data, agile delivery, and making a real impact in the insurance space? We\’re working with a forward-thinking general insurer operating an almost fully delegated model, and they’re looking for a Project Manager / Data Business Analyst to join their growing data team.
Location: UK Remote (with one paid day per month in London)
Salary: Circa £80,000 (flexible DOE)
Package Includes:
- 10% annual bonus
- Profit share scheme
- 10% pension contribution
- Private Medical Insurance (PMI)
- And more…
The Role
This is a hybrid role combining project management and business analysis, focused on delivering high-quality data products across the delegated insurance model. You’ll work closely with MGAs, TPAs, and internal stakeholders (CUO, CAO, CFO, Compliance) to ensure data is collected, transformed, and delivered accurately and consistently.
You’ll be the bridge between business and engineering — managing backlogs, refining requirements, and helping shape the data journey from ingestion to insight.
What You’ll Be Doing
- Lead agile delivery across a small data engineering team
- Translate business requirements into technical deliverables
- Manage stakeholder relationships and data contracts with MGAs
- Oversee backlog prioritisation, sprint planning, and risk management
- Ensure data quality and consistency across Snowflake-based platforms
- Collaborate with a sister data team in France
What We’re Looking For
- 5–10 years’ experience in data-focused PM/BA roles (flexible)
- Strong understanding of insurance data models
- Experience with SQL
- Snowflake knowledge desirable
- Agile/Scrum/Kanban delivery experience
- Excellent stakeholder management and communication skills
- Experience with delegated authority models and bordereaux management (desirable)
The Team
You’ll report into the COO and work alongside three data engineers, with occasional collaboration with global data team.
Ready to make an impact in a data-driven insurance environment?
Apply now or reach out for a confidential chat.
Project Manager / Data Business Analyst employer: Gravitas Recruitment Group (Global) Ltd
Contact Detail:
Gravitas Recruitment Group (Global) Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Project Manager / Data Business Analyst
✨Tip Number 1
Familiarise yourself with the specific data models used in the insurance industry. Understanding how these models work will help you speak the same language as potential employers and demonstrate your expertise during discussions.
✨Tip Number 2
Network with professionals in the insurance and data sectors. Attend relevant webinars, workshops, or local meetups to connect with people who can provide insights into the role and potentially refer you to opportunities within their organisations.
✨Tip Number 3
Brush up on your SQL skills, as this is a key requirement for the role. Consider working on personal projects or contributing to open-source initiatives that involve data manipulation to showcase your abilities.
✨Tip Number 4
Prepare to discuss your experience with agile methodologies in detail. Be ready to share specific examples of how you've led teams through sprints, managed backlogs, and ensured successful project delivery in previous roles.
We think you need these skills to ace Project Manager / Data Business Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in project management and data analysis, particularly in the insurance sector. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data and agile delivery. Mention specific projects or experiences that align with the responsibilities of the role, such as managing stakeholder relationships or overseeing data quality.
Showcase Relevant Skills: Emphasise your skills in SQL, Snowflake, and agile methodologies. Provide examples of how you've successfully used these skills in previous roles to deliver high-quality data products.
Highlight Stakeholder Management Experience: Detail your experience in managing stakeholder relationships and communication. This is crucial for the role, so include specific examples of how you've effectively collaborated with various teams or clients.
How to prepare for a job interview at Gravitas Recruitment Group (Global) Ltd
✨Understand the Role
Make sure you have a clear understanding of the Project Manager / Data Business Analyst role. Familiarise yourself with the responsibilities, especially around agile delivery and stakeholder management, as these will likely be key discussion points during the interview.
✨Showcase Your Experience
Prepare to discuss your previous experience in data-focused PM/BA roles. Highlight specific projects where you've successfully managed data quality and stakeholder relationships, particularly in the insurance sector, as this will demonstrate your relevance to the position.
✨Demonstrate Technical Knowledge
Brush up on your SQL skills and any knowledge of Snowflake, as these are desirable for the role. Be ready to discuss how you've used these tools in past projects to deliver data insights effectively.
✨Prepare Questions
Have insightful questions ready for your interviewers about their data processes and team dynamics. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values.