At a Glance
- Tasks: Lead analytics for CRM and loyalty, driving insights that enhance customer experience.
- Company: Join a leading retailer with a focus on innovation and customer engagement.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic role with collaboration across Marketing, Digital, and Commercial teams.
- Why this job: Make a real impact by shaping strategies that drive customer loyalty and revenue.
- Qualifications: Strong analytical skills with experience in SQL, Python or R, and team leadership.
The predicted salary is between 85000 - 85000 £ per year.
We're working with a leading retailer looking for an experienced Analytics Manager to join their Customer & Data team. This role focuses on CRM, loyalty and retail media insight, helping shape strategy, improve customer experience and drive revenue across the business.
You'll work closely with stakeholders across Marketing, Digital and Commercial to make sure analysis leads to action, not just output.
Responsibilities- Lead analysis across CRM, loyalty, marketing performance and retail media
- Use customer data to uncover key insights that optimise journeys and improve retention and loyalty
- Coach and develop analysts, building technical capability, commercial awareness and stakeholder influence
- Translate ambiguous business questions into structured analytical approaches
- Partner with stakeholders across Marketing, Digital and Commercial teams to influence decision-making
- Support the growth of retail media and other emerging channels with key analysis and insight
- Track adoption and impact of recommendations, pushing the business towards decisions grounded in customer value
- Strong analytical background with SQL and Python or R
- Experience leading an analytics team in a complex, matrixed environment
- Familiarity with cloud platforms such as Databricks, Snowflake or BigQuery
- Background in CRM and marketing campaign analysis, with a track record of driving customer retention and loyalty
- Experience working within Agile methodologies
- Proven people leadership and stakeholder management skills
Analytics Manager - CRM & Loyalty - £85,000 in London employer: Salt
Join a forward-thinking investment management platform in London, where innovation meets opportunity. As a Senior Business Analyst, you'll thrive in a collaborative work culture that values your expertise and encourages professional growth through continuous learning and development. Enjoy the flexibility of a hybrid working model while contributing to cutting-edge AI-driven investment solutions that make a real impact in the financial services sector.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Manager - CRM & Loyalty - £85,000 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 Analytics Manager - CRM & Loyalty - £85,000 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 Analytics Manager - CRM & Loyalty - £85,000 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 Analytics Manager - CRM & Loyalty - £85,000 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.
