At a Glance
- Tasks: Lead data-focused initiatives and shape data governance across the organisation.
- Company: Established reinsurance organisation investing in internal data capabilities.
- Benefits: 25 days annual leave, healthcare coverage, wellness programmes, and generous parental leave.
- Other info: Diverse and inclusive culture supporting employee growth and well-being.
- Why this job: Make a real impact on data governance and influence decision-making at all levels.
- Qualifications: Proven experience as a Senior Business Analyst with strong data architecture understanding.
The predicted salary is between 60000 - 75000 £ 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)
- 25 days of annual leave with option to buy/sell more days.
- Adoption and fertility leave.
- Generous enhanced parental leave.
- 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.
- 15% combined employee/employer contributions.
- 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 & Governance Analyst employer: Pacific Life
Join a well-established reinsurance organisation that prioritises data governance and quality, offering a structured and supportive work environment. With a strong commitment to employee growth, you will have access to comprehensive benefits including generous leave policies, private healthcare, and wellness programmes, all while working collaboratively with senior stakeholders to drive impactful data-led change. Embrace a culture of diversity and inclusion where your contributions are valued and your professional development is nurtured.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data & Governance Analyst
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in data governance or analytics. 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 your problem-solving skills shine!
✨Tip Number 3
Showcase your ability to communicate complex data concepts clearly. Practice explaining your previous projects to a non-technical friend. If they get it, you’re golden for those interviews!
✨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 love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data & Governance Analyst
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in data governance and business analysis. We want to see how your skills align with the specific requirements of the Senior Data & Governance Analyst role.
Showcase Your Impact:When detailing your previous roles, focus on the impact you had on data-led initiatives. We love to see examples of how you've influenced data governance and improved data quality in past positions.
Be Clear and Concise:Use straightforward language to explain complex data concepts in your application. Remember, we’re looking for someone who can bridge the gap between technical and non-technical audiences, so clarity is key!
Apply Through Our Website:We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for the role without any hiccups!
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 explaining complex data concepts in simple terms. Think about examples where you've successfully communicated with both technical and non-technical audiences. This will demonstrate your ability to influence and engage stakeholders at all levels, which is crucial for this role.
✨Showcase Your Project Ownership
Be ready to talk about specific data projects you've led from initiation to adoption. Highlight your experience in applying structured business analysis and change management approaches. This will illustrate your capability to take ownership and drive data-led change effectively.
✨Prepare for Scenario Questions
Anticipate questions that ask how you would handle data quality issues or define data requirements. Think through your thought process and be ready to articulate your approach clearly. This will help interviewers see your problem-solving skills and your understanding of data governance.
