At a Glance
- Tasks: Transform customer data into insights that drive marketing and business decisions.
- Company: Join NEW LOOK, a leading fashion retailer in Greater London.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
- Why this job: Make a real impact by shaping customer experiences and driving business success.
- Qualifications: 3+ years in customer analytics with skills in SQL, Python or R.
The predicted salary is between 63000 - 77000 £ per year.
NEW LOOK is seeking an Analytics Specialist to translate customer data into actionable insights across acquisition, retention, loyalty and value in Greater London.
You will mine large datasets, build reusable insight assets and present findings to drive business decisions.
With 3+ years in customer analytics and coding in SQL, Python or R, you will apply segmentation, regression, clustering and campaign measurement to inform marketing and commerce initiatives.
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Senior Analytics Lead - Customer Insights & Growth in London employer: New Look
NEW LOOK is an excellent employer that fosters a collaborative and innovative work culture, particularly for those in the Senior Technologist role. With a strong emphasis on professional development and continuous improvement, employees are encouraged to grow their skills while contributing to high-quality product standards. Located in a vibrant retail environment, the company offers unique opportunities to influence product quality and drive meaningful change within the fashion industry.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Lead - Customer Insights & Growth 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 New Look!
✨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 Senior Analytics Lead - Customer Insights & Growth at New Look.
✨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 New Look.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Analytics Lead - Customer Insights & Growth at New Look, 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 Senior Analytics Lead - Customer Insights & Growth 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 New Look, 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 New Look. 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 New Look
✨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 New Look!
✨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.
