Insight Analyst: Drive Availability & ROI in Woking

Insight Analyst: Drive Availability & ROI in Woking

Woking Full-Time 31500 - 38500 £ / year (est.) Home office (partial)
Acosta

At a Glance

  • Tasks: Analyse data to enhance stock availability and drive ROI for key client brands.
  • Company: Acosta Europe, a leader in retail insights and analytics.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Join a dynamic team focused on innovation and collaboration.
  • Why this job: Make a real impact by driving insights that improve retail performance.
  • Qualifications: Strong analytical skills and ability to engage with stakeholders.

The predicted salary is between 31500 - 38500 £ per year.

Acosta Europe is seeking an Insight Analyst to support one of our key client brands in Woking.

The role combines data analysis, commercial insight, and stakeholder engagement across supply chain and retail teams.

You will monitor stock levels, identify opportunities to improve on-shelf availability and RSV, and deliver actionable recommendations to drive ROI.

The position is hybrid with 3 days in the office.

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Insight Analyst: Drive Availability & ROI in Woking employer: Acosta

At Acosta Europe, we pride ourselves on being a people-first organisation that values innovation and collaboration. As a Field Sales Executive for Heineken in Sheffield, you'll enjoy a dynamic work culture that fosters personal growth and offers exceptional benefits, including a company car, generous holidays, and access to career development through Acosta University. Join us to make a meaningful impact while enjoying the freedom and support of a globally recognised brand.

Acosta

Contact Details:

Acosta Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Insight Analyst: Drive Availability & ROI in Woking

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Apply Directly through Our Website

When you find a suitable opening like Insight Analyst: Drive Availability & ROI at Acosta, 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 Analyst: Drive Availability & ROI in Woking

Data Analysis
Commercial Insight
Stakeholder Engagement
Supply Chain Knowledge
Retail Knowledge
Monitoring Stock Levels
On-Shelf Availability Improvement

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 Acosta, 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 Acosta. 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 Acosta

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!

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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 Acosta!

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.