Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead customer insights to shape strategy and drive impactful decisions.
- Company: Established organisation focused on becoming more customer-led and insight-driven.
- Benefits: Competitive salary, 16% bonus, and hybrid working model.
- Other info: Opportunity to build lasting capabilities in a collaborative environment.
- Why this job: Make a real impact by transforming how insights influence business strategies.
- Qualifications: Strong experience in customer analytics, advanced SQL, and BI tools.
The predicted salary is between 60000 - 90000 £ per year.
London, hybrid working with 2 days per week in the office. £60,000 to £90,000 plus 16 percent bonus. This is a high visibility role for someone who wants to shape how customer insight influences strategy, change and commercial decision making. You will sit at the centre of analytics, BI and insight, with the remit and autonomy to build a customer insight capability that delivers real outcomes, not just reports.
The Company
They are a large, established organisation investing heavily in becoming more customer led and insight driven. Data, analytics and insight are seen as critical enablers of strategic transformation. Teams work collaboratively across analytics, marketing, product and technology, with strong senior sponsorship for insight-led decision making.
The Role
- Act as the strategic link between customer insight, central analytics, BI and self service reporting.
- Define the customer insight vision, operating model and prioritisation frameworks.
- Champion a customer first mindset and ensure insight informs strategy, change initiatives and day to day decisions.
- Work closely with marketing, product and data science teams to embed insight into delivery.
- Balance strategic direction with hands on delivery, including analysis, tooling and insight communication.
- Improve confidence in customer data as a strategic asset and uplift ways of working across insight teams.
Your Skills and Experience
- Strong commercial experience in customer analytics or customer insight leadership.
- Advanced SQL skills and strong experience with Power BI or equivalent BI tools.
- Python capability is highly desirable, particularly for advanced or predictive insight.
- Proven ability to translate data into clear, actionable business insight.
- Experience building or supporting predictive models or analytical frameworks.
- Strong stakeholder ownership, with a focus on delivery and impact over theory.
What They Offer
- Salary banding of £60,000 to £90,000, with a sweet spot in the mid to high £70,000s.
- 16 percent bonus.
- Hybrid working with two days per week in the London office.
- A highly visible role with genuine influence over how insight, data and analytics work together.
- The opportunity to build capability and shape something that lasts.
How to Apply
Apply now to find out more about this opportunity and how you could shape the future of customer insight in a business where your work will have real impact.
Customer Insights Strategy Lead employer: Harnham
Contact Detail:
Harnham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Customer Insights Strategy Lead
✨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 scenarios related to customer insights and analytics. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 3
Showcase your skills! Create a portfolio that highlights your experience with SQL, Power BI, and any predictive models you've worked on. This will help you stand out and demonstrate your hands-on capabilities.
✨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 Customer Insights Strategy Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Customer Insights Strategy Lead. Highlight your experience in customer analytics and any relevant tools like SQL or Power BI. We want to see how your skills align with our vision!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about customer insights and how you can drive strategic transformation. Let us know how you can champion a customer-first mindset.
Showcase Your Impact: When detailing your past experiences, focus on the impact you've made. We love seeing how you've turned data into actionable insights that influenced decision-making. Numbers and results speak volumes!
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 don’t miss out on any important updates. Plus, we love seeing your enthusiasm right from the start!
How to prepare for a job interview at Harnham
✨Know Your Customer Insight Stuff
Make sure you brush up on the latest trends in customer analytics and insight. Be ready to discuss how you've used data to drive strategic decisions in your previous roles. This will show that you’re not just familiar with the theory but can apply it practically.
✨Showcase Your Technical Skills
Since advanced SQL and BI tools like Power BI are key for this role, prepare to demonstrate your proficiency. Bring examples of reports or dashboards you've created, and be ready to explain how they influenced business outcomes.
✨Communicate Clearly and Confidently
You’ll need to translate complex data into actionable insights, so practice explaining your past projects in simple terms. Use storytelling techniques to make your experiences relatable and impactful during the interview.
✨Engage with Stakeholders
Highlight your experience working with cross-functional teams. Prepare examples of how you’ve collaborated with marketing, product, and data science teams to embed insights into their strategies. This will demonstrate your ability to build relationships and influence decision-making.