At a Glance
- Tasks: Lead and unify Analytics and Data Science teams to drive data initiatives.
- Company: Well-known consumer-focused organisation with an agile, entrepreneurial mindset.
- Benefits: Bonus, competitive benefits, and a hybrid working model in central London.
- Other info: Opportunity to drive transformation and make a long-term impact.
- Why this job: Shape a key function and influence decision-making across multiple business areas.
- Qualifications: Strong experience in leading analytics and data science functions.
The predicted salary is between 60000 - 80000 £ per year.
London, hybrid (2 to 3 days per week)
The Company
They are a well known, consumer focused organisation operating across multiple business units and partner networks. Despite strong brand recognition, the central team operates with a lean, agile, and entrepreneurial mindset similar to a scale up. Data is a key focus area, with significant investment in building a modern, insight driven organisation. Their work spans loyalty programmes, customer engagement, and commercial performance.
The Role
You will lead the combined Analytics and Data Science function, with responsibility for strategy, delivery, and stakeholder engagement across the business. Key responsibilities include:
- Bringing together separate Analytics and Data Science teams into a unified function
- Leading and developing a team of managers and specialists across analytics and data science
- Setting the roadmap for customer focused data initiatives, including loyalty and pricing optimisation
- Driving adoption of self service analytics and improving data accessibility across the organisation
- Leading the overhaul and optimisation of dashboards and reporting frameworks
- Partnering with senior stakeholders across multiple business units to influence decision making
Your Skills and Experience
- Strong commercial experience leading both Analytics and Data Science functions
- Proven ability to define and execute data strategies in consumer focused organisations
- Experience delivering data transformation programmes, including self service analytics and reporting improvements
- Background in customer analytics, loyalty, or pricing related use cases
- Strong stakeholder management skills, with experience influencing senior leadership
- Solid technical grounding in data science and analytics, with the credibility to guide teams and review outputs
What They Offer
- Bonus and competitive benefits package
- Hybrid working model with a central London office
- Opportunity to shape a key function within a growing data organisation
- High visibility role with influence across multiple business areas
- Clear scope to drive transformation and long term impact
How to Apply
If you are interested in leading a data function at the intersection of analytics, data science, and AI, apply now to find out more.
Head of Analytics and Data Science employer: Harnham - Data & Analytics Recruitment
As a leading consumer-focused organisation based in London, we pride ourselves on fostering a dynamic and entrepreneurial work culture that empowers our employees to drive meaningful change. With a strong emphasis on data and analytics, we offer competitive benefits, a hybrid working model, and significant opportunities for professional growth, allowing you to shape the future of our data initiatives while enjoying a collaborative environment that values innovation and impact.
Contact Details:
Harnham - Data & Analytics Recruitment Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Head of Analytics and Data Science
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues 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
Show off your skills! Create a portfolio showcasing your analytics and data science projects. This could be anything from dashboards you've built to data-driven insights you've provided. It’s a great way to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your stakeholder management skills. Be ready to discuss how you've influenced decision-making in past roles. Use real examples to show how you can bring value to their team.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it gives you a chance to showcase your enthusiasm for the role right from the start.
We think you need these skills to ace Head of Analytics and Data Science
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Head of Analytics and Data Science. Highlight your experience in leading analytics and data science teams, and don’t forget to mention any relevant projects that showcase your skills in customer analytics and data transformation.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you’re the perfect fit for this role. Share specific examples of how you've driven data initiatives and influenced decision-making in previous roles. Keep it engaging and personal!
Showcase Your Stakeholder Management Skills:Since this role involves partnering with senior stakeholders, make sure to highlight your experience in managing relationships and influencing leadership. We want to see how you’ve navigated complex environments and driven change through collaboration.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest trends and technologies in analytics and data science. Brush up on your knowledge of customer analytics, loyalty programmes, and pricing strategies. Being able to discuss these topics confidently will show that you’re not just a candidate, but a potential leader in the field.
✨Showcase Your Leadership Skills
Prepare examples of how you've successfully led teams in the past. Think about specific instances where you unified separate functions or drove significant change. This role requires strong stakeholder management, so be ready to discuss how you’ve influenced senior leadership and engaged with various business units.
✨Demonstrate Your Strategic Thinking
Be prepared to talk about how you would set the roadmap for customer-focused data initiatives. Think about what self-service analytics means to you and how you would improve data accessibility. Showing that you can think strategically about data transformation will set you apart from other candidates.
✨Engage with Their Vision
Research the company’s current data initiatives and be ready to discuss how you can contribute to their goals. Show enthusiasm for their entrepreneurial mindset and how you can help shape a key function within their growing data organisation. This will demonstrate your genuine interest in the role and the company.
