At a Glance
- Tasks: Lead a high-performing analytics team and drive actionable insights for senior decision-making.
- Company: Established consumer-focused organisation investing in AI and analytics for growth.
- Benefits: Competitive salary up to £160,000, bonus, and hybrid working model.
- Other info: High visibility role with opportunities for long-term impact and career progression.
- Why this job: Shape the future of analytics and make a real impact on business outcomes.
- Qualifications: Strong leadership in analytics, SQL skills, and experience with AI tools.
The predicted salary is between 160000 - 160000 € per year.
This is a senior leadership opportunity to shape a modern, AI-enabling analytics function at a critical point of transformation. Sitting at the centre of the business, this role blends strategic leadership with hands-on delivery, giving you real influence over how data, analytics and decisioning drive commercial outcomes.
The Company
They are a well-established, consumer-focused organisation operating in a highly data-rich and regulated environment. With a strong focus on responsible decision making and customer outcomes, the business is investing heavily in analytics, automation and AI to support its next phase of growth. Analytics operates as a shared service, partnering closely with senior stakeholders across the organisation.
The Role
You will lead a centralised Analytics and MI function that supports multiple business areas, operating as an internal consultancy. Key responsibilities include:
- Leading and developing a high performing analytics team, including managers and analysts, with a strong focus on commercial impact.
- Driving the shift from descriptive reporting to actionable, insight-led analytics that influences senior decision making.
- Embedding AI and advanced analytics tools into day-to-day workflows to improve speed, quality and scalability of insight.
- Overseeing scalable data and reporting infrastructure, including automated reporting and governed gold layer datasets.
- Line managing a Decision Engine Manager and overseeing the migration to a new decisioning platform.
- Managing and prioritising a shared analytics workstack across finance, marketing and executive stakeholders.
Your Skills and Experience
To be successful, you will bring:
- Strong leadership experience within analytics or MI in a complex commercial environment.
- A proven ability to translate data into clear, actionable business recommendations for senior stakeholders.
- Hands-on technical capability using SQL, with Python experience preferred.
- Experience working with modern data stacks such as Snowflake and Power BI or similar tools.
- Practical experience applying AI tools within analytics, with a clear understanding of benefits, limitations and governance.
- Confidence operating in fast-moving environments where structure is evolving.
What They Offer
High visibility role with direct exposure to executive leadership and clear scope for long-term impact and progression.
How to Apply
If you are looking for a senior analytics leadership role with real influence across data, AI and decisioning, apply now to find out more.
Head of Analytics employer: Harnham - Data & Analytics Recruitment
As a leading consumer-focused organisation in London, this company offers an exceptional work environment that fosters innovation and collaboration. With a strong commitment to employee growth, you will have the opportunity to lead a high-performing analytics team while directly influencing strategic decisions at the executive level. The hybrid working model, combined with a focus on advanced analytics and AI, ensures a dynamic workplace where your contributions can drive meaningful change.
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Head of Analytics
✨Tip Number 1
Network like a pro! Reach out to connections in the analytics field, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info on job opportunities.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with AI and analytics tools. When you get the chance to chat with potential employers, share how you've driven commercial impact in previous roles.
✨Tip Number 3
Be proactive! Don’t just wait for job postings to appear. Reach out directly to companies you admire and express your interest in their analytics functions. You never know when a role might open up!
✨Tip Number 4
Apply through our website! We make it easy for you to showcase your talents and connect with us. Plus, it shows you're genuinely interested in being part of our team. Let's shape the future of analytics together!
We think you need these skills to ace Head of Analytics
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Head of Analytics. Highlight your leadership experience and any hands-on technical skills, especially with SQL and AI tools. We want to see how your background aligns with our needs!
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 you can drive commercial outcomes. We love seeing candidates who can connect their experience to our mission.
Showcase Your Achievements:When detailing your past roles, focus on specific achievements that demonstrate your ability to lead teams and influence decision-making. Numbers and results speak volumes, so don’t hold back!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates directly from us. Plus, it shows you're keen on joining our team!
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your Analytics Inside Out
Make sure you’re well-versed in the latest analytics trends and tools, especially those mentioned in the job description like SQL, Python, Snowflake, and Power BI. Brush up on how these technologies can drive commercial outcomes and be ready to discuss specific examples of how you've used them in your previous roles.
✨Showcase Your Leadership Skills
As a Head of Analytics, you'll need to demonstrate strong leadership capabilities. Prepare to share experiences where you've successfully led teams, influenced decision-making, and driven impactful analytics projects. Think about how you can convey your ability to develop high-performing teams and foster collaboration across departments.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and strategic thinking. Be ready to discuss how you would approach transitioning from descriptive reporting to actionable insights. Consider real-life scenarios where you’ve had to make data-driven decisions that influenced senior stakeholders.
✨Understand the Company’s Vision
Research the company’s focus on responsible decision-making and customer outcomes. Be prepared to discuss how your vision aligns with theirs, especially regarding the integration of AI and advanced analytics into workflows. Showing that you understand their goals will set you apart as a candidate who is not just qualified but also genuinely interested in contributing to their success.
