At a Glance
- Tasks: Unlock value from data and turn insights into growth opportunities for a major UK grocery retailer.
- Company: NIQ, a leading analytics firm with a focus on customer success.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Join a dynamic team dedicated to driving success through innovative insights.
- Why this job: Make a real impact by transforming data into actionable business strategies.
- Qualifications: Strong analytical skills and experience in retail or data analytics.
The predicted salary is between 40000 - 50000 £ per year.
NIQ in London or Oxford is seeking an Analytic Consultant in the Retail Customer Success team.
You will partner with a major UK grocery retailer to unlock value from data, turning insights into growth opportunities and actionable business steps.
You will work closely with NIQ teams, leveraging Scanning, Panel and other datasets to deliver clear, impactful insights and support strategic account development in a hybrid role.
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Retail Analytics Strategist — Customer Success employer: Nabla
Nabla is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for aspiring analysts. With a focus on employee growth, the Junior Insight Analyst role offers not only flexible working arrangements but also ample opportunities for professional development in the vibrant city of Oxford. Join us to make a meaningful impact while advancing your career in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Retail Analytics Strategist — Customer Success
✨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 Nabla!
✨Show Off Your Projects
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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 Nabla.
✨Apply Directly through Our Website
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We think you need these skills to ace Retail Analytics Strategist — Customer Success
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 Nabla, 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 Nabla. 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 Nabla
✨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 Nabla!
✨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.
