At a Glance
- Tasks: Lead a centralised analytics function and drive data-led decision making.
- Company: Fast-growing, data-driven business transforming analytics and AI.
- Benefits: Competitive salary, bonus, and comprehensive benefits package.
- Other info: High visibility role with significant exposure to senior leadership.
- Why this job: Shape the future of analytics and influence business transformation.
- Qualifications: Experience in leading analytics teams and strong technical skills in SQL and Python.
We're hiring a Head of Analytics to lead a centralised analytics function within a fast-growing, data-driven business undergoing significant transformation across analytics, AI, and decisioning. This is a high-visibility role working closely with senior leadership to drive faster, better, data-led decision making across the organisation.
The Role
- You'll lead a central Analytics MI team operating as a shared service across Finance, Marketing, and executive stakeholders.
- Key focus areas include:
- Moving from reporting to actionable insight
- Embedding AI tools into analytics workflows
- Driving automation and improved data structures
- Supporting rollout of a new decision engine
- Managing priorities across multiple senior stakeholders
- This is a player-coach role (50/50 split) - combining leadership with hands-on delivery.
What We're Looking For
- Experience leading Analytics / MI teams
- Strong ability to turn data into clear commercial insight
- Hands-on technical skills (SQL + Python)
- Experience with modern data tools (e.g. Snowflake, Power BI)
- Exposure to AI tools / automation in analytics
- Strong stakeholder management, including senior leadership
Background
- Open to any data-rich, commercial sector (FS helpful but not essential)
- Suitable for an existing Head of Analytics or a strong Senior Manager stepping up
Why Apply?
- Shape a modern, AI-enabled analytics function
- High exposure to C-suite and business strategy
- Play a key role in business transformation
- Significant scope to influence analytics and AI direction
Head of Analytics - Financial Services employer: Harnham - Data & Analytics Recruitment
Join a dynamic and innovative financial services firm in London, where you will have the opportunity to shape a cutting-edge analytics function that leverages AI and data-driven insights. With a strong emphasis on employee growth, collaboration with senior leadership, and a culture that values actionable insights, this role offers a unique chance to influence business transformation while enjoying competitive compensation and benefits. Experience a supportive environment that encourages professional development and fosters a sense of purpose in driving meaningful change.
Contact Details:
Harnham - Data & Analytics Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Head of Analytics - Financial Services
✨Tip Number 1
Network like a pro! Reach out to connections in the financial services sector and let them know you're on the hunt for a Head of Analytics role. A personal recommendation can go a long way in getting your foot in the door.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Make sure you can confidently discuss SQL, Python, and any modern data tools you've used. Show them you’re not just a leader but also hands-on with the tech!
✨Tip Number 3
When you get the chance to meet with senior leadership, come armed with insights. Think about how you can turn data into actionable strategies that align with their goals. This will show you’re ready to drive data-led decision making.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Head of Analytics - Financial Services
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Head of Analytics role. Highlight your leadership experience, technical skills in SQL and Python, and any exposure to AI tools. We want to see how you can turn data into actionable insights!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about analytics and how your background makes you the perfect fit for this role. Don’t forget to mention your experience with stakeholder management and how you’ve driven data-led decision making in the past.
Showcase Your Technical Skills:Since this role requires hands-on technical skills, be sure to include specific examples of projects where you've used SQL, Python, or modern data tools like Snowflake and Power BI. We love seeing how you've applied these skills in real-world scenarios!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensure it gets the attention it deserves. Plus, you’ll find all the details you need about the role there!
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your Data Inside Out
As a candidate for the Head of Analytics, you need to be well-versed in the data landscape. Brush up on your SQL and Python skills, and be ready to discuss how you've turned complex data into actionable insights in previous roles.
✨Showcase Your Leadership Style
This role is all about leading a team while also being hands-on. Prepare examples that highlight your leadership experience, especially how you've managed priorities across multiple stakeholders. Be ready to discuss your player-coach approach.
✨Familiarise Yourself with AI Tools
Since embedding AI tools into analytics workflows is a key focus, make sure you can talk about your experience with modern data tools like Snowflake and Power BI. Share specific instances where you've leveraged AI to drive automation and improve data structures.
✨Engage with Senior Leadership Scenarios
Given the high visibility of this role, think about how you would engage with senior leadership. Prepare to discuss strategies for driving data-led decision-making and how you would support the rollout of a new decision engine within the organisation.
