At a Glance
- Tasks: Design consumer surveys and analyse shopper behaviour to provide insights.
- Company: Join NIQ, a leader in consumer analytics with a focus on innovation.
- Benefits: Enjoy competitive pay, flexible hours, and opportunities for professional growth.
- Other info: Collaborative team environment with exciting projects and career advancement.
- Why this job: Make a real impact by translating business questions into actionable research.
- Qualifications: Strong analytical skills and experience in consumer insights or market research.
The predicted salary is between 63000 - 77000 £ per year.
NIQ is seeking a Consumer Analytics Consultant to join the Consumer Analytical Solutions team.
This client-facing role focuses on designing consumer surveys and combining attitudinal insight with shopper behaviour.
You will lead projects from scoping through analysis and final client recommendations.
You will work with clients and account teams to translate business questions into robust research approaches, contribute to proposals, define scope, methodology, deliverables, timings and costs, and
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Client-Facing Consumer Analytics Consultant in Oxford employer: NielsenIQ
NielsenIQ is an exceptional employer that fosters a collaborative and innovative work culture, perfect for those passionate about retail data and client storytelling. With opportunities for professional growth and a hybrid working model in vibrant locations like London and Oxford, employees are empowered to develop their expertise in UK retail trends while making impactful contributions to client partnerships.
StudySmarter Expert Advice🤫
We think this is how you could land Client-Facing Consumer Analytics Consultant in Oxford
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Client-Facing Consumer Analytics Consultant in Oxford
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.
