At a Glance
- Tasks: Lead customer analytics to drive marketing and product decisions using data insights.
- Company: Join a leading UK retail brand known for its innovation and market presence.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic role with a focus on collaboration and career development.
- Why this job: Be at the forefront of digital transformation and make a real impact on customer engagement.
- Qualifications: Strong analytical skills with experience in SQL, Python, and team leadership.
The predicted salary is between 75000 - 85000 £ per year.
We're working with a leading UK retail brand, a genuine household name that defines its category, to find a Customer Analytics Manager to join them at the heart of a major digital transformation.
The role
- You'll be a commercially minded analytics leader sitting at the center of the business, using data to answer the biggest questions facing the marketing and product teams.
What You'll own
- Own the CRM, Loyalty and marketing performance analytics agenda - turning customer data into insight that shapes retention, engagement and commercial decisions.
- Leading deep-dives into customer lifetime value (LTV), acquisition costs (CAC), and multi-channel attribution to inform commercial decision-making.
- Lead planning, prioritisation and delivery, managing the backlog with Agile practices and making clear trade-off calls.
- Run complex, high-value analysis and forecasting, setting the analytical bar through robust methods and strong commercial judgement.
- Coach and develop analysts, building technical capability, commercial awareness and stakeholder influence.
- Translate ambiguous questions into structured approaches, building trusted relationships across CRM, Marketing, Digital and Commercial.
The Technical bar
- Strong hands-on analytical background - fluent in complex SQL and languages like Python or R, with solid grounding in statistical methods (hypothesis testing, confidence intervals, p-values) and cloud platforms such as Databricks, Snowflake or BigQuery.
- Proven leader of analytical teams in complex matrix environments, comfortable managing multiple stakeholders, deadlines and deliverables, and developing, coaching and motivating highly technical people.
- Experienced in marketing campaign and CRM design and analysis - using customer data to drive retention, loyalty and omnichannel personalisation, and to measure and optimise marketing impact.
- Commercially minded and curious - translating business problems into analytical goals, prioritising impact, and a strong storyteller who brings insight to life through clear visuals and compelling reporting.
Customer Analytics Manager in London employer: Salt
Join a leading UK retail brand renowned for its commitment to innovation and customer engagement, where you'll play a pivotal role in shaping the future of analytics within a dynamic digital transformation. With a strong focus on employee development, you will have access to extensive growth opportunities, a collaborative work culture that values creativity and insight, and the chance to make a significant impact on marketing and product strategies. Enjoy the benefits of a flexible working environment, with only three days in the office each month, allowing for a healthy work-life balance while contributing to a household name that truly values its employees.
StudySmarter Expert Advice🤫
We think this is how you could land Customer Analytics Manager in London
✨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 Analytics Manager 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 Analytics Manager 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 Analytics Manager in London
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.
