At a Glance
- Tasks: Deliver data-driven insights and craft actionable recommendations for a major UK grocery partner.
- Company: Join NielsenIQ, a leader in FMCG and retail analytics.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Work in a dynamic environment with a focus on storytelling through data.
- Why this job: Make an impact by transforming data into strategic guidance for top clients.
- Qualifications: Experience in data analysis and strong client relationship skills required.
The predicted salary is between 37800 - 46200 £ per year.
NielsenIQ is seeking a client-facing Analyst to deliver data-driven insights for a major UK grocery partner. You will combine EPOS and panel data with broader datasets to craft actionable recommendations and strategic guidance.
You will build strong client relationships, own day-to-day servicing, and translate hypotheses into high-quality analyses that inform both tactical actions and long-term plans. Hybrid working across London or Oxford is available.
#J-18808-LjbffrSenior Insight Analyst (Hybrid) - FMCG & Retail Storytelling 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 Senior Insight Analyst (Hybrid) - FMCG & Retail Storytelling
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We think you need these skills to ace Senior Insight Analyst (Hybrid) - FMCG & Retail Storytelling
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 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
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✨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.
