At a Glance
- Tasks: Lead data initiatives and enhance data governance across the organisation.
- Company: Established reinsurance organisation focused on internal data capabilities.
- Benefits: Competitive salary, professional development, and a structured work environment.
- Other info: Opportunity to influence data practices in a regulated environment.
- Why this job: Shape data strategy and make a significant impact on business operations.
- Qualifications: Experience in data analysis, governance, and strong stakeholder engagement skills.
The predicted salary is between 60000 - 80000 £ per year.
A well established reinsurance organisation is investing in its permanent internal data capability to meet growing demand across underwriting, operations, and finance. This is a senior, high impact role where you will help shape how data is defined, governed, and used across the enterprise. You’ll sit at the intersection of business analysis, data architecture, and enterprise change, working closely with senior stakeholders, data architects, and engineering teams to turn complex data challenges into clear, governed, and scalable outcomes. This role is ideal for a Senior Data Business Analyst who enjoys operating in a structured, regulated environment, influencing how data works at an organisational level rather than delivering reports in isolation.
What you’ll be doing
- Leading Data Led Change
- Lead the initiation, discovery, and delivery of data focused initiatives across multiple business domains.
- Apply structured business analysis and change management approaches within a governance led delivery environment.
- Take ownership of smaller data projects and enhancements from early discovery through to business as usual adoption.
- Contribute to the ongoing evolution of data BA standards, tooling, and ways of working across the organisation.
- Data Architecture Aware Business Analysis
- Capture and define requirements with a data architecture mindset, ensuring solutions are scalable, consistent, and fit for purpose.
- Work confidently with conceptual, logical, and physical data models, data warehousing and analytical data platforms, and the distinction between data dictionaries and data glossaries.
- Define requirements using data flows, lineage, source to target mappings, and reporting specifications.
- Act as a critical bridge between business stakeholders and Data Architecture / Engineering teams, ensuring shared understanding and alignment.
- Data Governance & Data Quality
- Embed data governance principles into delivery, including data ownership, standards, and controls.
- Support data quality assessments, issue identification, and remediation definition.
Senior Data Business Analyst employer: Pacific Life Re
Join a well-established reinsurance organisation that prioritises the development of its internal data capabilities, offering a dynamic and structured work environment. As a Senior Data Business Analyst, you will have the opportunity to lead impactful data initiatives, collaborate with senior stakeholders, and contribute to the evolution of data governance practices. With a strong focus on employee growth and a culture that values innovation and collaboration, this role is perfect for those seeking meaningful and rewarding employment in a regulated industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Business Analyst
✨Tip Number 1
Network like a pro! Reach out to professionals in the reinsurance and data sectors on LinkedIn. Join relevant groups, participate in discussions, and don’t hesitate to ask for informational interviews. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Prepare for those interviews by brushing up on your data architecture knowledge. Be ready to discuss how you’ve tackled complex data challenges in the past. We want to see you shine, so practice articulating your experiences clearly and confidently!
✨Tip Number 3
Showcase your skills through real-world examples. When discussing your experience, focus on specific projects where you led data initiatives or improved data governance. We love seeing tangible results, so highlight those achievements!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate candidates who are eager to make an impact in the data space. Let’s get you that dream job!
We think you need these skills to ace Senior Data Business Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Data Business Analyst. Highlight your experience with data governance, business analysis, and any relevant projects that showcase your ability to lead data-led change.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data architecture and how your skills align with our needs. Don’t forget to mention your experience working with senior stakeholders and your approach to data quality.
Showcase Your Analytical Skills:In your application, be sure to include examples of how you've tackled complex data challenges in the past. We want to see your thought process and how you’ve turned data into actionable insights that drive business decisions.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Pacific Life Re
✨Know Your Data Inside Out
Make sure you’re well-versed in data architecture concepts, including data models and governance principles. Brush up on your understanding of data dictionaries versus glossaries, and be ready to discuss how you’ve applied these in past roles.
✨Showcase Your Change Management Skills
Prepare examples of how you've led data-focused initiatives in a structured environment. Highlight your experience with business analysis and change management approaches, and be ready to explain how you ensure projects align with governance standards.
✨Bridge the Gap
Emphasise your ability to communicate effectively between business stakeholders and technical teams. Prepare to discuss specific instances where you’ve facilitated understanding and alignment, ensuring that everyone is on the same page regarding data requirements.
✨Demonstrate Your Problem-Solving Mindset
Be ready to tackle hypothetical data challenges during the interview. Think through how you would approach complex data issues and articulate your thought process clearly, showcasing your analytical skills and strategic thinking.
