At a Glance
- Tasks: Lead customer insights and drive transformation through data analytics and AI.
- Company: A large organisation focused on customer experience and data-driven decisions.
- Benefits: Competitive salary, performance bonuses, and clear career progression.
- Other info: Supportive culture with a focus on learning and innovation.
- Why this job: Shape enterprise-level strategies and make a real impact in a collaborative environment.
- Qualifications: Strong experience in customer insight and advanced analytics skills.
The predicted salary is between 60000 - 80000 £ per year.
The Company is a large, complex organisation with a strong focus on customer experience and data driven decision making. Customer insight sits at the heart of their transformation agenda, supporting senior leaders to act with confidence. The environment is collaborative, fast moving and focused on long term value creation through analytics and AI.
The Role:
- Lead the strategic enablement of a central insights capability, focusing on scalable, self service analytics.
- Design and maintain a holistic 360 degree customer view across internal and external data sources.
- Build and embed frameworks, standards and reusable assets for analytics and insight generation.
- Drive the development of data infrastructure, governance and quality to support trusted insight.
- Champion innovation in advanced analytics, machine learning and AI, evaluating and adopting new approaches.
- Translate complex analysis into clear, actionable recommendations for senior stakeholders.
- Coach and mentor analytics professionals, raising analytical maturity across the organisation.
- Lead and contribute to enterprise wide initiatives that link insight to measurable business outcomes.
Your Skills and Experience:
- Strong commercial experience in customer insight, analytics strategy and transformation.
- Deep capability in data architecture, integration and connectivity across multiple data sources.
- Advanced knowledge of machine learning, predictive modelling and modern analytics frameworks.
- Proven ability to design integrated customer data assets that support decision making.
- Excellent stakeholder management skills, with confidence influencing senior leaders.
- Ability to synthesise complex data signals into clear, impactful insight.
- Experience working in highly regulated or complex environments is beneficial.
What They Offer:
- Competitive salary and performance related bonus.
- Opportunity to shape an enterprise level customer insight strategy.
- Clear scope for career progression within a growing analytics leadership function.
- Supportive culture with a strong focus on learning, innovation and impact.
How to Apply:
If you are looking to lead customer insight strategy and drive meaningful transformation through data, apply now.
Lead Customer Insights Analyst employer: Harnham Search & Selection
As a Lead Customer Insights Analyst at this large, complex organisation, you will thrive in a collaborative and fast-paced environment that prioritises customer experience and data-driven decision making. The company offers a competitive salary, performance-related bonuses, and clear opportunities for career progression within a growing analytics leadership function, all while fostering a supportive culture focused on learning, innovation, and impactful outcomes.
Contact Details:
Harnham Search & Selection Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Lead Customer Insights Analyst
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry events. We can’t stress enough how personal connections can give you the inside scoop on the company culture and even lead to referrals.
✨Tip Number 2
Prepare for interviews by practising your storytelling skills. We want you to showcase your experience in customer insights and analytics in a way that resonates with the interviewers. Use real examples to demonstrate your impact!
✨Tip Number 3
Stay updated on the latest trends in analytics and AI. We recommend reading relevant articles or joining webinars. This knowledge will not only impress during interviews but also show your passion for the field.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Lead Customer Insights Analyst
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Lead Customer Insights Analyst. Highlight your experience in customer insight and analytics strategy, and don’t forget to mention any relevant projects that showcase your skills in data architecture and machine learning.
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 your background aligns with our focus on data-driven decision making. Be sure to mention how you can contribute to our collaborative environment.
Showcase Your Analytical Skills:In your application, provide examples of how you've translated complex data into actionable insights. This is key for the role, so share specific instances where your analysis led to measurable business outcomes or influenced senior stakeholders.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to shape our customer insight strategy!
How to prepare for a job interview at Harnham Search & Selection
✨Know Your Data Inside Out
Make sure you’re well-versed in the latest trends and tools in customer analytics. Brush up on your knowledge of data architecture and machine learning, as these are key to the role. Be ready to discuss how you've used data to drive decision-making in past roles.
✨Showcase Your Stakeholder Skills
Prepare examples that highlight your experience in managing and influencing senior stakeholders. Think about times when you translated complex data into actionable insights for leadership. This will demonstrate your ability to communicate effectively in a collaborative environment.
✨Emphasise Innovation and Adaptability
The company values innovation, so be prepared to discuss how you've championed new approaches in analytics or AI. Share specific instances where you evaluated and adopted new technologies or methodologies that improved outcomes.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about how you would design a 360-degree customer view or tackle data governance challenges. Practising these scenarios can help you articulate your thought process clearly during the interview.
