At a Glance
- Tasks: Drive data insights to enhance marketing, sales, and customer operations.
- Company: Leading Life Insurance intermediary focused on data-driven strategies.
- Benefits: Competitive salary, hybrid working, and a comprehensive benefits package.
- Why this job: Make a real impact on business performance and strategic decisions.
- Qualifications: Strong analytical skills, advanced SQL, and experience with data visualisation tools.
- Other info: Opportunity to mentor junior analysts and grow within a dynamic environment.
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 employer: Shareforce
Contact Detail:
Shareforce Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Analyst - Financial Services
✨Tip Number 1
Network like a pro! Reach out to connections in the financial services sector, especially those who work with data analytics. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data visualisation projects or any dashboards you've built. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data analysis techniques. Be ready to discuss how you've influenced decision-making in past roles and how you can bring that expertise to their team.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. 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
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 StudySmarter 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
As a Senior Data Analyst, you’ll need to demonstrate your analytical prowess. Brush up on your SQL skills and be ready to discuss how you've worked with large datasets. Prepare examples of how your insights have driven performance in previous roles, especially in marketing or sales.
✨Showcase Your Stakeholder Influence
This role requires strong stakeholder management. Think about times when you've successfully influenced decision-making. Be prepared to share specific examples that highlight your ability to bridge the gap between data engineering and business needs.
✨Familiarise Yourself with A/B Testing
Since experimentation frameworks are key to this position, make sure you can talk about your experience with A/B testing and performance measurement. Have a couple of case studies ready where your analytical approach led to measurable outcomes.
✨Visualisation is Key
With a focus on data visualisation tools like Power BI or Tableau, ensure you can discuss how you've built dashboards that align with business KPIs. Bring examples of your work to the interview, as visuals can speak volumes about your capabilities.