At a Glance
- Tasks: Lead data initiatives and shape data governance across the organisation.
- Company: Established reinsurance organisation focused on data capability and innovation.
- Benefits: Generous leave, private insurance, gym membership, and community involvement opportunities.
- Other info: Join a diverse team that values your unique contributions and supports your growth.
- Why this job: Make a real impact by transforming complex data into actionable insights.
- Qualifications: Proven experience in data analysis and strong understanding of data architecture.
The predicted salary is between 72000 - 88000 £ per year.
Senior Data Business Analyst
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.
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.
- o Conceptual, logical, and physical data models o Data warehousing and analytical data platforms o The distinction between data dictionaries and data glossaries o 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.
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.
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.
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).
- Ability to explain complex data concepts clearly to both technical and non technical audiences.
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 Dev Ops, JIRA, Confluence, Miro
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.
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 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
- ~ 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
- Savings & Retirement
- ~Subsidized gym membership
- Access to Employee Assistance Program
- Cycle to Work and Electric Car Salary Sacrifice Scheme
- Time off for volunteering
We are committed to a culture of diversity and inclusion that embraces the authenticity of all employees, partners and communities.
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.
Senior Data Analyst (Business Management Analyst) in London employer: Pacific Life
Pacific Life Re is an exceptional employer that prioritises employee well-being and professional growth, offering a supportive work culture enriched by diversity and inclusion. As a Talent Intelligence & Recruitment Marketing Analyst, you will benefit from comprehensive healthcare coverage, generous leave policies, and opportunities for continuous learning, all while contributing to innovative recruitment strategies in a dynamic environment. Located in a vibrant area, the company fosters collaboration and creativity, ensuring that every team member can thrive and make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst (Business Management Analyst) in London
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We think you need these skills to ace Senior Data Analyst (Business Management Analyst) in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Pacific Life, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Pacific Life. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Pacific Life
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Pacific Life!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.