At a Glance
- Tasks: Analyse customer data to drive marketing strategies and improve loyalty programmes.
- Company: Join a leading UK retailer with a focus on innovation and customer engagement.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on personal development and career advancement.
- Why this job: Make a real impact by shaping customer experiences and driving business success.
- Qualifications: Strong SQL skills and experience in marketing analysis required.
The predicted salary is between 50000 - 50000 £ per year.
We're working with a leading UK Retailer to find a Customer Marketing Analyst to join their Analytics team on a permanent basis.
The role
You'll own and deliver customer analytics across loyalty schemes, CRM, and marketing campaigns, covering everything from cohort analysis and churn to incrementality measurement and ROI. You'll collaborate across a matrix structure with stakeholders from across the business, translating commercial ambitions into analytical challenges and actionable recommendations.
What you'll work on
- Customer health tracking: growth contribution, cohort analysis, churn rates
- Loyalty and CRM performance reviews and opportunity
- Campaign forecasting, incrementality, and ROI measurement across marketing channels
- Deep-dives into customer behaviour and omnichannel personalisation
- Supporting growth across Digital, Marketplace, Services, and Retail Media
What we're looking for
- Strong SQL skills; Python and/or R experience
- Hands-on with cloud platforms such as Databricks, Snowflake
- Proven background in marketing campaign analysis, loyalty, and retention
- Solid statistical grounding, hypothesis testing, confidence intervals
- Experience in Agile/matrix environments; Jira and Confluence familiarity a plus
- Sharp attention to detail and a genuine interest in customer behaviour
Customer Insight Analyst - Retail - £50,000 in Slough employer: Salt
Join a leading UK retailer that prioritises employee growth and development, offering a dynamic work culture where collaboration and innovation thrive. With competitive benefits and a flexible working model, including just three days in the office each month, this role as a Customer Insight Analyst provides an excellent opportunity to make a meaningful impact on customer engagement strategies while enjoying a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Customer Insight Analyst - Retail - £50,000 in Slough
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Salt!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Customer Insight Analyst - Retail - £50,000 at Salt.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Salt.
✨Apply Directly through Our Website
When you find a suitable opening like Customer Insight Analyst - Retail - £50,000 at Salt, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Customer Insight Analyst - Retail - £50,000 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!
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 Salt, 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 Salt. 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 Salt
✨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 Salt!
✨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.
