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For Companies At a Glance
- Tasks: Lead customer insight strategy and drive transformation through data analytics.
- Company: Large organisation focused on customer experience and data-driven decision making.
- Benefits: Competitive salary, performance bonus, and clear career progression opportunities.
- Other info: Supportive culture prioritising learning, innovation, and impactful work.
- Why this job: Shape enterprise-level strategies and make a real impact with your insights.
- Qualifications: Strong experience in customer insight, analytics strategy, and data architecture.
The predicted salary is between 70000 - 90000 £ per year.
This is a senior leadership role for someone who wants to shape how customer insight is embedded across an organisation. You will sit at the centre of strategy, analytics and transformation, building the frameworks, data foundations and ways of working that enable high impact, decision ready insight at scale.
The Company
They are 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.
Customer Analytics Manager in Manchester employer: Harnham - Data & Analytics Recruitment
Contact Detail:
Harnham - Data & Analytics Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Customer Analytics Manager in Manchester
✨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 researching the company and its culture. Understand their focus on customer experience and data-driven decision making. Tailor your answers to show how your skills align with their goals.
✨Tip Number 3
Practice your storytelling skills! Be ready to share examples of how you've used analytics to drive business outcomes. Make it relatable and impactful, so they can see the value you bring.
✨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 Customer Analytics Manager in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Customer Analytics Manager. Highlight your experience in customer insight and analytics strategy, and don’t forget to showcase any relevant projects that demonstrate your ability to drive transformation through data.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about customer analytics and how your skills align with our mission at StudySmarter. Be sure to mention specific examples of how you've influenced decision-making in previous roles.
Showcase Your Analytical Skills: In your application, make it clear how you’ve used advanced analytics and machine learning in past positions. We want to see your ability to translate complex data into actionable insights, so don’t hold back on those impressive stats and outcomes!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take the initiative!
How to prepare for a job interview at Harnham - Data & Analytics Recruitment
✨Know Your Data Inside Out
As a Customer Analytics Manager, you'll need to demonstrate your deep understanding of data architecture and analytics frameworks. Brush up on the latest trends in machine learning and predictive modelling, and be ready to discuss how you've applied these in past roles.
✨Showcase Your Stakeholder Skills
This role requires excellent stakeholder management skills. Prepare examples of how you've influenced senior leaders with your insights. Think about specific situations where your recommendations led to measurable business outcomes and be ready to share those stories.
✨Prepare for Scenario-Based Questions
Expect questions that assess your ability to translate complex analysis into actionable insights. Practice articulating your thought process in scenarios where you had to design integrated customer data assets or drive innovation in analytics.
✨Emphasise Your Leadership Experience
Since this is a senior leadership role, be prepared to discuss your experience in coaching and mentoring analytics professionals. Highlight how you've raised analytical maturity within your previous teams and the impact it had on the organisation.