At a Glance
- Tasks: Turn customer data into actionable insights to shape marketing campaigns.
- Company: Join a dynamic team focused on customer analytics in a leading retail environment.
- Benefits: Supportive induction, skill development, and clear career progression opportunities.
- Other info: Collaborative environment with recognition for your contributions.
- Why this job: Make a real impact by understanding customer behaviour and improving engagement.
- Qualifications: Experience with data analysis, SQL skills, and familiarity with reporting tools.
The predicted salary is between 30000 - 40000 £ per year.
About The Role
Customer Analytics & Insights Analyst – Help us deliver for our customers, every day. We’re looking for a Customer Analytics & Insights Analyst to help us better understand our customers, how they order, what they value, and where we can improve. Working as part of our Digital (Marketing) team, you’ll turn data into clear, practical insights that help shape campaigns, improve performance and support smarter decision‑making across the business.
What You’ll Bring
- This role is perfect if you enjoy working with data to solve real business problems and want to build your career in customer analytics.
- You’ll be based in Manchester or Milton Keynes, working closely with marketing and digital teams to turn customer behaviour into meaningful insight.
- Experience working with data in an analytics, data science or insights role, ideally within a retail or e-commerce environment.
- Strong SQL skills, with the ability to extract, manipulate and analyse large datasets.
- Experience with customer analytics, including segmentation (e.g. RF/RFM) and lifecycle analysis.
- Experience using reporting or visualisation tools (e.g. Excel, Power BI, Tableau, Python or R).
What You’ll Be Doing
- In this role, you’ll help us understand what our customers are doing and why and turn that into insight teams can act on.
- You’ll work closely with marketing, CRM and commercial teams, supporting campaigns and helping improve how we connect with customers.
- Analyse customer behaviour, performance and segmentation to identify trends, opportunities and risks.
- Support campaign analysis and recommend ways to improve targeting, engagement and customer value.
- Build and maintain reports, dashboards and datasets to support ongoing insight and decision‑making.
- Work closely with marketing and digital teams to provide clear, structured insight that informs strategy.
- Identify ways to improve reporting, data quality and analytical approaches over time.
How We Will Support You
- A clear, confidence‑building induction so you understand your role and how your work connects to the wider business.
- Support from your manager and team, with people who will help you build your skills and grow your confidence in analytics.
- Opportunities to develop your technical and commercial understanding, with clear progression pathways within the team.
- Recognition for great work, both in day‑to‑day moments and through wider company initiatives.
Customer Analyst employer: 慨正橡扯
Join a dynamic team in Manchester or Milton Keynes as a Customer Analytics & Insights Analyst, where your passion for data will drive meaningful insights that enhance customer engagement and business performance. We pride ourselves on a supportive work culture that fosters professional growth, offering clear progression pathways and recognition for your contributions. With a focus on collaboration and innovation, you'll have the opportunity to make a real impact while developing your skills in a thriving retail environment.
StudySmarter Expert Advice🤫
We think this is how you could land Customer Analyst
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We think you need these skills to ace Customer Analyst
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at 慨正橡扯, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at 慨正橡扯. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at 慨正橡扯
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at 慨正橡扯!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
