At a Glance
- Tasks: Analyse customer data to drive insights and identify commercial opportunities.
- Company: Established business with a focus on data and analytics.
- Benefits: Up to £50,000 salary, 20% bonus, and hybrid working.
- Other info: Collaborative team with exposure to modern data technologies.
- Why this job: Make a real impact by influencing business decisions with your insights.
- Qualifications: 3-5 years in analytics, strong SQL skills, and confident presentation abilities.
The predicted salary is between 50000 - 60000 £ per year.
We're supporting a large, well-established business in hiring a Customer Insight Analyst to join their Data & Analytics function on a permanent basis. This is a hands-on role with real commercial impact, working with rich customer-level data to drive insight across multiple areas of the business.
The role is well suited to someone who is equally comfortable writing complex queries and presenting findings to senior stakeholders — communication and storytelling skills matter here as much as technical ability.
What you'll be doing:
- Conducting multi-channel data analysis to understand customer behaviour and identify commercial opportunities
- Building and maintaining dashboards that track performance across marketing channels and programmes
- Developing segmentation models to support more targeted and personalised customer communications
- Analysing customer retention and churn patterns to identify opportunities for intervention
- Presenting insights clearly to stakeholders, including senior audiences
- Supporting the development of new reporting solutions alongside existing BAU delivery
- Contributing to a longer-term data science roadmap, including exposure to ML and predictive modelling
What we're looking for:
- 3–5 years' experience in a customer, marketing, or commercial analytics role
- Strong SQL skills — essential
- Power BI experience
- Confident presenting data and communicating findings to non-technical stakeholders
- Python or R experience — desirable
What's on offer:
- A varied role with genuine commercial impact across a large, diverse business
- Exposure to a modern data stack and an evolving data science roadmap
- A collaborative team environment with room to grow
- Hybrid working — 1-2 days per week in Birmingham City Centre
- Up to £50,000 salary + 20% bonus
If you are interested in this opportunity and would like to hear more, please apply with an updated CV and contact information, or reach out directly.
Customer Insights Analyst in Birmingham employer: Amtis - Digital, Technology, Transformation
As a Microsoft Dynamics Consultant with us, you'll be part of a dynamic and innovative team in London, where we prioritise employee growth and development. Our collaborative work culture fosters creativity and strategic thinking, allowing you to lead impactful projects that shape customer engagement solutions. Enjoy competitive benefits and the unique opportunity to work in a hybrid environment, balancing professional and personal life while contributing to transformative initiatives in the Microsoft ecosystem.
Contact Details:
Amtis - Digital, Technology, Transformation Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Customer Insights Analyst in Birmingham
✨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 refer you directly.
✨Tip Number 2
Prepare for interviews by practising your storytelling skills. Think about how you can present your data analysis experiences in a way that highlights your impact. Remember, it’s all about making those insights relatable!
✨Tip Number 3
Show off your technical skills! If you’ve got strong SQL or Power BI experience, be ready to discuss specific projects where you used these tools. Real examples will make you stand out!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Customer Insights Analyst in Birmingham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Customer Insights Analyst role. Highlight your experience with SQL, Power BI, and any relevant analytics projects. We want to see how your skills align with what we're looking for!
Showcase Your Storytelling Skills:Since communication is key, include examples of how you've presented data insights to stakeholders in the past. We love seeing how you can turn complex data into compelling stories that drive decisions.
Be Clear and Concise:When writing your application, keep it straightforward. Use bullet points where possible and avoid jargon. We appreciate clarity, especially when it comes to showcasing your achievements and skills.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Amtis - Digital, Technology, Transformation
✨Know Your Data Inside Out
Before the interview, dive deep into your past experiences with customer data analysis. Be ready to discuss specific projects where you used SQL or Power BI to derive insights. This will show that you can handle the technical aspects of the role while also understanding its commercial impact.
✨Craft Your Storytelling Skills
Since communication is key for this role, practice presenting your findings in a clear and engaging way. Use examples from your previous work to illustrate how your insights led to actionable outcomes. This will demonstrate your ability to convey complex information to non-technical stakeholders.
✨Prepare for Scenario Questions
Expect questions that ask how you would approach specific customer behaviour scenarios. Think about how you would analyse retention patterns or develop segmentation models. Practising these scenarios will help you articulate your thought process and problem-solving skills during the interview.
✨Show Enthusiasm for Continuous Learning
This role involves contributing to a longer-term data science roadmap, so express your interest in learning about machine learning and predictive modelling. Share any relevant courses or projects you've undertaken, as this shows you're proactive and eager to grow within the field.
