At a Glance
- Tasks: Drive automation and personalisation across email, SMS, and in-app messages.
- Company: Join Levi Strauss, a global leader in fashion with a vibrant culture.
- Benefits: Competitive salary, flexible working options, and opportunities for growth.
- Other info: Collaborate with global teams and make a real impact on customer engagement.
- Why this job: Shape customer experiences and drive revenue growth in a dynamic environment.
- Qualifications: Experience in SQL analytics and a passion for CRM strategies.
The predicted salary is between 45000 - 55000 £ per year.
Levi Strauss is seeking a CRM Lifecycle Analyst to drive automation, personalization, and revenue growth across email, SMS, and in-app messages.
Based in our Central London office, you will shape the lifecycle from acquisition through retention.
You'll own SQL analytics, build audience segments, run A/B tests, and deploy journeys with our omni-channel platform, collaborating with global and Europe teams.
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CRM Lifecycle Architect: Automation & Analytics in City of Westminster employer: Levi Strauss
Levi Strauss is an excellent employer that values creativity and personal expression, making it a perfect fit for those passionate about fashion and customer service. With competitive pay, comprehensive training, and ample opportunities for career growth, employees thrive in a supportive work culture that encourages flexibility and teamwork. Working in Ellesmere Port offers the unique advantage of being part of a globally recognised brand while contributing to a vibrant local community.
StudySmarter Expert Advice🤫
We think this is how you could land CRM Lifecycle Architect: Automation & Analytics in City of Westminster
✨Get Involved in Data Science Meetups
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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 Levi Strauss.
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We think you need these skills to ace CRM Lifecycle Architect: Automation & Analytics in City of Westminster
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 Levi Strauss, 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 Levi Strauss. 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 Levi Strauss
✨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 Levi Strauss!
✨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.
