At a Glance
- Tasks: Analyse CRM performance and create actionable insights from data.
- Company: Major UK retailer with a dynamic and innovative digital team.
- Benefits: Competitive salary, growth opportunities, and a chance to shape CRM strategies.
- Other info: Fast-paced environment with a focus on innovation and career development.
- Why this job: Make a real impact by transforming data into strategic recommendations.
- Qualifications: Analytical skills and experience with CRM tools and data visualisation.
The predicted salary is between 44817 - 54777 £ per year.
The Role
This is a CRM Analytics & Insight Analyst position sitting inside the Digital team, reporting into the CRM Customer Engagement Manager.
The job is focused specifically on measuring and improving CRM performance — analysing email and app campaign data, building and maintaining Tableau dashboards, evaluating A/B test results, and using customer segmentation to help target campaigns more effectively.
It's a hands-on, delivery-focused analyst role rather than a management position, working closely with the CRM, Marketing, and wider Digital teams, with a strong emphasis on turning data into clear, actionable recommendations that senior stakeholders can act on quickly.
The Brand
This opportunity is with a major UK retailer with a well-established, growing Digital function that's investing heavily in its CRM programme.
The business operates at genuine scale, with a customer base large enough to warrant dedicated analytics support purely for CRM performance, separate from broader digital or product analytics.
It's a fast-paced, rapidly developing environment, and the team is described as growing and innovative — the kind of setting where someone can genuinely shape how CRM measurement and reporting evolves, rather than simply maintaining an existing process.
CRM Analyst in Slough employer: WeComm
WeComm is an exceptional employer that champions a culture of innovation and collaboration within its dynamic data team in Greater London. Employees benefit from a strong focus on professional growth, with opportunities to work on impactful data projects that drive ethical craftsmanship and sustainability. Join us to be part of a purpose-driven brand that values your contributions and fosters a supportive work environment.
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We think this is how you could land CRM Analyst in Slough
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We think you need these skills to ace CRM Analyst in Slough
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!
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Craft a Tailored Cover Letter:For a full-time role at WeComm, 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 WeComm. 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 WeComm
✨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!
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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 WeComm!
✨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.
