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- Tasks: Drive data insights to boost performance in marketing, sales, and customer operations.
- Company: Leading Life Insurance intermediary focused on data-driven decision-making.
- Benefits: Competitive salary, hybrid working, and a comprehensive benefits package.
- Other info: Opportunity to mentor junior analysts and grow within a dynamic environment.
- Why this job: Make a real impact on business strategy and revenue through data analytics.
- Qualifications: Strong analytical skills, advanced SQL, and experience with data visualisation tools.
The predicted salary is between 65000 - 75000 £ per year.
We are supporting the build-out of a high-impact analytics capability within a market-leading, data-driven Life Insurance intermediary. This role is for a Senior Data Analyst who combines strong analytical capability with commercial thinking and stakeholder influence. You will play a key role in shaping how data is used to drive performance across marketing, sales and customer operations. This is a highly visible role with direct impact on revenue, conversion and strategic decision-making.
Key Responsibilities
- Own and deliver insight across key commercial areas (lead generation, conversion, retention)
- Identify opportunities to improve performance and drive measurable outcomes
- Act as a bridge between business and data engineering teams
- Partner with senior stakeholders to influence decision-making and strategy
- Design and implement analytics approaches to optimise customer journeys
- Lead on experimentation frameworks (A/B testing, performance measurement)
- Build scalable dashboards and reporting aligned to business KPIs
- Support development of data models, definitions and data quality, ensuring strong data governance standards
- Mentor junior analysts and contribute to the wider data capability
Skills & Experience Profile
- Strong experience in a Data Analyst / Senior Data Analyst role within a commercial environment
- Advanced SQL and experience working with large, complex datasets
- Strong experience with data visualisation tools (Power BI, Tableau, etc.)
- Proven ability to influence stakeholders and drive business outcomes
- Experience delivering insight in fast-paced, performance-led environments
- Desirable: Marketing / growth / sales analytics experience
- Background in insurance, financial services or high-volume B2C businesses
- Experience with experimentation and optimisation frameworks
- Python / R or exposure to advanced analytics
- Experience with modern data platforms (such as Azure, Databricks, Snowflake, BigQuery)
Additional Information
Salary £65,000 - £75,000 (based on experience) + benefits package
Location: Hybrid working with onsite travel to the office in Berkshire.
Candidates must have the right to work and reside in the UK.
Senior Data Analyst - Financial Services in London employer: Shareforce
Contact Detail:
Shareforce Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst - Financial Services in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend events, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and showcasing your analytical skills. Use real-life examples from your experience to demonstrate how you've driven performance and influenced decisions.
✨Tip Number 3
Show off your data visualisation skills! Create a portfolio of dashboards or reports that highlight your ability to turn complex data into actionable insights. This will set you apart from other candidates.
✨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 Analyst - Financial Services in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data Analyst. Highlight your experience with SQL, data visualisation tools, and any relevant commercial insights you've delivered. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to showcase your analytical capabilities and how you've influenced stakeholders in previous roles. Let us know why you're excited about joining our team and how you can contribute to our analytics capability.
Showcase Your Projects: If you've worked on any projects that involved A/B testing or building dashboards, make sure to mention them! We love seeing real examples of how you've driven performance and made data-driven decisions in your past roles.
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 from us!
How to prepare for a job interview at Shareforce
✨Know Your Data Inside Out
Before the interview, dive deep into your past projects and experiences with data analysis. Be ready to discuss specific examples where your insights led to measurable outcomes, especially in lead generation or conversion. This will show your analytical capability and commercial thinking.
✨Master the Tools of the Trade
Brush up on your SQL skills and be prepared to demonstrate your proficiency with data visualisation tools like Power BI or Tableau. You might be asked to interpret a dataset or create a quick dashboard during the interview, so practice makes perfect!
✨Showcase Your Stakeholder Influence
Think of instances where you successfully influenced senior stakeholders. Prepare to share how you acted as a bridge between business and data engineering teams, and how your insights shaped decision-making. This will highlight your ability to drive business outcomes.
✨Be Ready for Experimentation Talk
Since this role involves A/B testing and performance measurement, be prepared to discuss your experience with experimentation frameworks. Share specific examples of how you've designed and implemented these approaches to optimise customer journeys, showcasing your strategic mindset.