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, comprehensive healthcare, and wellness programmes.
- Other info: Diverse and inclusive culture that supports employee growth and well-being.
- Why this job: Make a real impact on data governance and influence business decisions.
- Qualifications: Experience as a Senior Business Analyst with a focus on data initiatives.
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)
- 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 & Governance Analyst in London employer: Pacific Life
Join a well-established reinsurance organisation that prioritises employee growth and development in a structured, governance-led environment. With comprehensive benefits including generous leave policies, private healthcare, and a commitment to diversity and inclusion, this role offers the opportunity to influence data governance at an organisational level while working alongside senior stakeholders and expert teams. Experience a collaborative work culture that values your contributions and supports your professional journey.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data & Governance Analyst in London
✨Tip Number 1
Network like a pro! Reach out to connections in the industry, especially those who work in data governance or analysis. 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 thought process and how you can influence data strategies!
✨Tip Number 3
Showcase your stakeholder engagement skills! During interviews, share examples of how you've translated complex data concepts into clear recommendations for non-technical audiences. This is key for building trust with stakeholders.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data & Governance Analyst in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Senior Data & Governance Analyst. Highlight your experience with data-centric initiatives and governance-heavy environments. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data governance and how you can contribute to our team. Keep it concise but impactful, and don’t forget to mention any relevant tools or methodologies you’ve used.
Showcase Your Stakeholder Engagement Skills:In this role, you'll be engaging with stakeholders at all levels. Make sure to include examples in your application that demonstrate your ability to translate complex data concepts into clear recommendations. We love seeing how you’ve influenced decision-making in the past!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, you’ll find all the info you need about the role there!
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 how they apply to the role. Brush up on your understanding of data models, data warehousing, and the differences between data dictionaries and glossaries. This will help you speak confidently about how you can contribute to shaping data governance.
✨Prepare for Stakeholder Engagement
Think about how you would engage with various stakeholders, especially senior leadership. Prepare examples of how you've translated complex data concepts into clear recommendations in the past. This will show that you can bridge the gap between technical and non-technical audiences effectively.
✨Showcase Your Change Management Skills
Be ready to discuss your experience with leading data-focused initiatives and applying structured business analysis within a governance-led environment. Highlight specific projects where you took ownership from discovery to adoption, demonstrating your ability to drive data-led change.
✨Emphasise Data Quality and Governance
Prepare to talk about how you've embedded data governance principles in your previous roles. Discuss any experiences you've had with data quality assessments and how you've driven consistent data definitions across different domains. This will illustrate your commitment to ensuring high-quality data outputs.
