Senior Business and Data Analyst in London

Senior Business and Data Analyst in London

London Full-Time 72000 - 88000 £ / year (est.) No working from home possible
Pacific Life

At a Glance

  • Tasks: Lead data initiatives and shape data governance across the organisation.
  • Company: Established reinsurance firm focused on data-driven solutions.
  • Benefits: Generous leave, private insurance, gym membership, and volunteering time off.
  • Other info: Join a diverse team that values your unique contributions and supports your growth.
  • Why this job: Make a real impact on data strategy and governance in a dynamic environment.
  • Qualifications: Experience in data analysis, strong communication skills, and familiarity with SQL or BI tools.

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 Business and Data 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.

Pacific Life

Contact Details:

Pacific Life Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Business and Data Analyst in London

Get to Grips with Data Visualisation Tools

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Join Local Business Intelligence Meetups

Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like Pacific Life!

Engage with Online BI Communities

Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.

Leverage Your University’s Career Support

If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!

We think you need these skills to ace Senior Business and Data Analyst in London

Business Analysis
Data Architecture
Data Governance
Data Quality Assessment
Stakeholder Management
SQL
Power BI

Some tips for your application 🫡

Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.

Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.

Tailor Your Documents for Us:When applying for a full-time role at Pacific Life, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!

Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.

How to prepare for a job interview at Pacific Life

Show off your analytical skills

In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!

Practice your technical know-how

Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.

Portfolio of Projects

Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.

Know their business model

Get familiar with Pacific Life’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.