At a Glance
- Tasks: Lead a team of analysts to deliver actionable insights for a major UK retailer.
- Company: Join NIQ, a leader in retail analytics with a focus on customer success.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on building trusted client relationships.
- Why this job: Make a real impact by translating data into meaningful recommendations for clients.
- Qualifications: Experience in FMCG/retail analytics and strong leadership skills required.
The predicted salary is between 63000 - 77000 £ per year.
NIQ is seeking a Team Leader in the Retail Customer Success team to lead a group of analysts delivering high-quality, actionable insights for a major UK retailer. You will coach the team to translate data into meaningful recommendations and build trusted client relationships.
The role requires hands-on leadership, collaboration across NIQ and retailer stakeholders, and experience with Consumer Panel data in FMCG/retail analytics. Hybrid working in London or Oxford is offered.
#J-18808-LjbffrInsight Team Lead, Retail Analytics (Hybrid UK) employer: NIELSENIQ
NielsenIQ in Oxford is an exceptional employer, offering a dynamic work culture that prioritises flexibility and professional growth. As a Junior Insight Analyst, you'll have the unique opportunity to collaborate with industry giants like P&G and Coca-Cola, while receiving comprehensive training to enhance your analytical skills and client engagement. With a strong focus on data-driven decision making, NielsenIQ fosters an environment where your contributions are valued and your career can flourish.
StudySmarter Expert Advice🤫
We think this is how you could land Insight Team Lead, Retail Analytics (Hybrid UK)
✨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 NIELSENIQ.
✨Apply Directly through Our Website
When you find a suitable opening like Insight Team Lead, Retail Analytics (Hybrid UK) at NIELSENIQ, 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 Insight Team Lead, Retail Analytics (Hybrid UK)
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 NIELSENIQ, 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 NIELSENIQ. 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 NIELSENIQ
✨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 NIELSENIQ!
✨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.
