At a Glance
- Tasks: Lead data initiatives and shape how data is used across the organisation.
- Company: Join a well-established reinsurance organisation focused on data capability.
- Benefits: Enjoy 25 days annual leave, healthcare, and wellness programmes.
- Other info: Dynamic work culture with a focus on diversity, inclusion, and employee well-being.
- Why this job: Make a real impact by influencing data governance and quality.
- Qualifications: Experience in data-centric business analysis and strong communication skills.
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’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, 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. This role contributes to data architecture through high quality requirements, rather than owning solution design.
- 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 tools such as Visio, Azure DevOps, JIRA, Confluence, Miro.
Working For Pacific Life Re
Every person in our global team is valued for the unique qualities they bring to our business and we seek to build their expertise and support their individual ambitions at every step. Of course, we take our work seriously and we know our team can operate under great pressure. We work hard and thrive on achievement, but we also know how to have fun and relax too. We regularly host a range of team building days to strengthen our team's connection with each other and reflect on their successes. Providing employees with a healthy work-life balance is very important to our culture. We have a wide range of employee benefits and we host regular social activities and well being initiatives. We are also committed to supporting our employee's involvement in their communities, by actively fundraising, hosting charity events and overseeing volunteering opportunities.
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
- Subsidized 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.
Senior Data Business Analyst in London employer: Pacific Life Re
At Pacific Life Re, we pride ourselves on being an exceptional employer that values the unique contributions of each team member. Our supportive work culture fosters a healthy work-life balance, with generous benefits including 25 days of annual leave, comprehensive healthcare coverage, and opportunities for community involvement through volunteering and charity events. We are committed to employee growth and development, ensuring that our Senior Data Business Analysts thrive in a dynamic environment where their expertise is recognised and nurtured.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Business Analyst in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant events, and don’t be shy about asking for introductions. The more people you know, the better your chances of landing that Senior Data Business Analyst role.
✨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. Show them you can bridge the gap between business needs and technical solutions!
✨Tip Number 3
Don’t just wait for job openings to pop up! Keep an eye on our website and apply proactively. Sometimes, the best opportunities come from expressing your interest before a position is even advertised.
✨Tip Number 4
Follow up after interviews with a thank-you note. It’s a simple gesture that shows your enthusiasm for the role and keeps you fresh in their minds. Plus, it’s a great way to reiterate your fit for the Senior Data Business Analyst position!
We think you need these skills to ace Senior Data Business Analyst in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in data-centric initiatives. We want to see how your skills align with the role of a Senior Data Business Analyst, so don’t hold back on showcasing your relevant achievements!
Showcase Your Data Knowledge:Since this role involves a lot of data architecture and governance, be sure to mention any experience you have with data models, warehousing, or governance principles. We love seeing candidates who can bridge the gap between technical and non-technical audiences!
Be Clear and Concise:When writing your application, clarity is key! Use straightforward language to explain complex concepts. We appreciate candidates who can communicate effectively, especially when it comes to translating data insights into actionable recommendations.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Pacific Life Re
✨Know Your Data Inside Out
As a Senior Data Business Analyst, you need to be well-versed in data architecture and governance. Brush up on your understanding of data models, warehousing, and the difference between master and reference data. This knowledge will help you articulate your insights clearly during the interview.
✨Showcase Your Stakeholder Engagement Skills
Prepare examples that demonstrate your ability to engage with stakeholders at all levels. Think about times when you translated complex data concepts into actionable recommendations. This will highlight your communication skills and your role as a trusted advisor.
✨Emphasise Your Change Management Experience
Since this role involves leading data-led change, be ready to discuss your experience with structured business analysis and change management approaches. Share specific instances where you've successfully driven initiatives from discovery to adoption, showcasing your leadership capabilities.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in a governance-heavy environment. Practice articulating how you would approach data quality issues or stakeholder disagreements, ensuring you demonstrate a clear, methodical thought process.