At a Glance
- Tasks: Lead data-driven initiatives and shape data governance across the organisation.
- Company: Established reinsurance organisation focused on internal data capabilities.
- Benefits: 25 days annual leave, healthcare coverage, wellness programmes, and generous parental leave.
- Other info: Diverse and inclusive culture with excellent career growth opportunities.
- Why this job: Make a real impact on data strategy and governance in a high-stakes environment.
- Qualifications: Proven experience in data-centric business analysis and strong understanding of data architecture.
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 will 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 data models and platforms:
- Conceptual, logical, and physical data models
- Data warehousing and analytical data platforms
- The distinction between data dictionaries and data glossaries
- Master data vs reference data
- 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.
- Drive consistent data definitions and usage across domains.
- Ensure delivery aligns with enterprise data strategy and regulatory expectations.
- Stakeholder Engagement & Influence
- Engage with stakeholders at all levels, including senior leadership.
- Translate complex data concepts into clear, pragmatic recommendations that support decision making.
- Support adoption, change, and transition of data solutions into BAU.
- Act as a trusted advisor on data‑related decisions across the business.
What success looks like
- Clear, agreed data definitions and specifications that reduce ambiguity across business areas.
- Data governance being embedded into delivery, not treated as an afterthought.
- Improved visibility of data quality issues and agreed remediation approaches.
- Strong relationships between business, data architecture, and engineering teams.
- Stakeholders trusting data outputs and the decisions built on them.
What we’re looking for
Essential experience
- Proven experience as a Senior Business Analyst delivering data‑centric initiatives.
- Strong conceptual understanding of data architecture and data warehousing (hands‑on delivery not required).
- Experience working in structured, governance‑heavy delivery environments.
- Ability to explain complex data concepts clearly to both technical and non‑technical audiences.
Desirable experience
- Insurance experience (London Market desirable but not essential; wider insurance backgrounds welcomed).
- Exposure to SQL, Power BI, SSRS, or similar data and BI technologies.
- Experience partnering closely with Data Architecture teams.
- Familiarity with Visio, Azure DevOps, JIRA, Confluence, Miro.
Benefits (Only for Permanent and Fixed Term Employees)
- Leave
- 25 days of annual leave with option to buy/sell more days
- Adoption and fertility leave
- Generous enhanced parental leave
- Healthcare
- Comprehensive private insurance coverage for employee and dependents
- Group life insurance coverage of 9x basic annual salary and group income protection up to 75% of basic annual salary
- Optical benefits
- Savings & Retirement
- 15% combined employee/employer contributions
- Wellness
- Subsidised gym membership
- Access to Employee Assistance Program
- Cycle to Work and Electric Car Salary Sacrifice Scheme
- Time off for volunteering
- Charitable matching of employee donations
You Can Be Who You Are
We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners and communities. We support all employees to thrive and achieve their fullest potential. As part of our commitment to diversity and inclusion, we will provide reasonable adjustments during the recruitment process to ensure equal access to applicants with disabilities. Please contact us about your needs so that we can discuss these with you to make sure that suitable adjustments are made, where possible.
Pacific Life Re Values
Company values are available on the company website.
Senior Data Business Analyst employer: Pacific Life
As a leading reinsurance organisation, we pride ourselves on fostering a collaborative and inclusive work culture that empowers our employees to drive meaningful change. With a strong focus on professional development, we offer extensive growth opportunities and a comprehensive benefits package, including generous leave policies and wellness initiatives, ensuring our team members thrive both personally and professionally in a structured, governance-led environment.
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 your connections in the industry, especially those who work in data or insurance. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Prepare for 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 and show us how you can influence data governance!
✨Tip Number 3
Don’t underestimate the power of follow-ups! After an interview, drop a quick thank-you email to express your appreciation. It keeps you fresh in their minds and shows your enthusiasm for the role.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
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-centric initiatives and governance-heavy environments. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data and how you can lead data-led change. We love seeing candidates who can translate complex concepts into clear recommendations.
Showcase Your Stakeholder Engagement Skills:In this role, you'll be engaging with senior stakeholders, so make sure to highlight any relevant experience. Share examples of how you've built strong relationships and influenced decisions in previous roles.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Pacific Life
✨Know Your Data Inside Out
Make sure you have a solid grasp of data architecture concepts and data governance principles. Be prepared to discuss how you've applied these in previous roles, especially in structured environments. This will show that you can bridge the gap between business needs and technical solutions.
✨Engage with Stakeholders
Practice how you would communicate complex data concepts to both technical and non-technical audiences. Think of examples where you've successfully influenced stakeholders or led data-focused initiatives. This will demonstrate your ability to engage effectively at all levels.
✨Showcase Your Project Ownership
Be ready to talk about specific data projects you've led from initiation to adoption. Highlight your approach to managing change and ensuring that data governance is embedded throughout the process. This will illustrate your capability to take ownership and drive data-led change.
✨Prepare for Scenario Questions
Anticipate questions that ask how you would handle data quality issues or define requirements using data flows. Practising your responses to these scenarios will help you articulate your thought process and problem-solving skills during the interview.
