Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data analytics for a top Life Insurance intermediary and shape data usage across the organisation.
- Company: Market-leading Life Insurance intermediary with a focus on data-driven solutions.
- Benefits: Competitive salary, bonus, hybrid working, and comprehensive benefits package.
- Other info: Dynamic role with opportunities for professional growth and development.
- Why this job: Make a real impact by transforming data into actionable insights for strategic decisions.
- Qualifications: Strong experience in data analysis, stakeholder influence, and advanced Power BI skills.
The predicted salary is between 80000 - 90000 £ per year.
This role will act as the lead business-facing anchor within the Data Analytics capability for a market-leading Life Insurance intermediary. This role will report into the Chief of Strategy and Data Officer working closely with Executive and Senior Leadership team members to help shape how data is used across the organisation, moving from fragmented reporting toward a more structured, insight-led approach. You will play a key role in establishing best practice, improving consistency of reporting, and helping to define an enduring data competency. This is a hands‑on leadership role, requiring both delivery capability and the ability to influence senior stakeholders.
Key Responsibilities
- Partner with senior stakeholders to understand business priorities and shape data-led solutions
- Lead the design and evolution of reporting standards across the business
- Drive consistency across MI, reducing duplication and improving data accuracy
- Translate complex data into clear, actionable insight for commercial decision-making
- Produce insights demonstrating the value of investment into data to present to board members
- Manage Senior Data Analysts and Functional Analysts, providing day-to-day support
- Support the development of a Data Competency Centre and service catalogue
- Challenge existing approaches and help move the business beyond reactive reporting
Skills & Experience Profile
- Strong experience in a Senior / Lead Data Analyst role
- Proven ability to influence stakeholders and drive business outcomes through data
- Experience working in commercially driven, data-led environments
- Advanced Power BI capability including data modelling and dashboard design (end to end)
- Strong SQL and experience working with modern data platforms (e.g. Databricks or similar)
- Understanding of data architecture and translating data into business insight
- Excellent communication skills with the ability to "tell the story" of data
- Comfortable operating in a developing / evolving data environment
Additional Information
- Salary £80,000 - £90,000 (based on experience) + bonus + benefits package
- Location: Hybrid working with onsite travel to the office in Basingstoke. Candidates must have the right to work and reside in the UK.
Lead Data Analyst - Financial Services in Basingstoke employer: Shareforce
Contact Detail:
Shareforce Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Analyst - Financial Services in Basingstoke
✨Tip Number 1
Network like a pro! Reach out to connections in the financial services sector, especially those who work with data. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data projects, especially those that demonstrate your ability to influence stakeholders and drive business outcomes. This will make you stand out during interviews.
✨Tip Number 3
Prepare for the interview by understanding the company’s data strategy. Research their current reporting standards and think of ways you could improve them. This shows you're proactive and ready to hit the ground running!
✨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 genuinely interested in joining our team.
We think you need these skills to ace Lead Data Analyst - Financial Services in Basingstoke
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Lead Data Analyst. Highlight your experience in data analytics, especially in financial services, and showcase how you've influenced stakeholders in previous roles.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us how you can help shape data-led solutions and improve reporting standards. Be specific about your achievements and how they relate to the job description.
Showcase Your Technical Skills: Don’t forget to mention your advanced Power BI and SQL skills! We want to see how you've used these tools to drive business outcomes and create actionable insights. Include examples where possible.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Shareforce
✨Know Your Data Inside Out
As a Lead Data Analyst, you’ll need to demonstrate your expertise in data analytics. Brush up on your knowledge of SQL, Power BI, and modern data platforms like Databricks. Be ready to discuss specific projects where you've used these tools to drive business outcomes.
✨Understand the Business Landscape
Familiarise yourself with the life insurance industry and the specific challenges it faces. This will help you tailor your insights and show how you can partner with senior stakeholders to shape data-led solutions that align with their priorities.
✨Prepare to Tell a Compelling Data Story
Practice translating complex data into clear, actionable insights. Think of examples where your data storytelling has influenced decision-making. This will showcase your communication skills and ability to engage with executive leadership.
✨Showcase Your Leadership Skills
Since this is a hands-on leadership role, be prepared to discuss your experience managing teams. Highlight how you've supported Senior Data Analysts and Functional Analysts, and share examples of how you've driven consistency and best practices in reporting.