At a Glance
- Tasks: Dive into data analytics to drive decisions and enhance customer experiences in grocery retail.
- Company: Join a leading grocery retail company focused on innovation and data-driven strategies.
- Benefits: Enjoy comprehensive health support, stock options, and exciting employee rewards.
- Other info: Be part of a dynamic team that values mentorship and continuous learning.
- Why this job: Make a real impact by shaping strategic decisions with your analytical skills.
- Qualifications: 5+ years in analytics, strong SQL skills, and a passion for data storytelling.
The predicted salary is between 40500 - 49500 £ per year.
- Описание
- Описания нет
- Задачи
- Advanced
Analytics: Develop innovative measurement and analytical approaches that build an understanding of performance and customers, embedding these learnings into day-to-day decision-making across the organisation.
- Quantitative Analysis: Answer complex business questions through detailed quantitative analysis and experimentation, extracting meaningful and actionable insights.
- Strategic
Influence: Influence both strategic and tactical decision-making among leadership and cross-functional teams through strong communication and by proactively identifying opportunities for improvement.
- Data
Infrastructure: Act as the primary partner for central Analytics & Data Engineering teams to implement reliable and scalable data pipelines that manage and transform essential information.
- Commercial
Modeling: Build the necessary models and tools to inform pricing strategies, helping stakeholders maintain a competitive position versus competitors while maximizing margin opportunity.
- Insight Integration: Partner with Customer Insights teams, supporting customer and competitor research projects and helping to embed those learnings into operational workflows.
- Data Culture: Proactively build and nurture a culture of data-driven decision-making by coaching and supporting teams to increase their data literacy and confidence.
- Mentorship: Support and mentor other analysts in the team to help them develop their skills and deliver high-quality results.
- Требования
- 5+ years of experience in analytics or data science - preferably in fields related to grocery, trading, marketing, or consumer product.
- A strong understanding of statistical analysis and experiment design.
- A Bachelor's Degree in Business, Mathematics, Statistics, or other quantitative discipline is beneficial, but not essential.
- Expert skills in SQL and databases, able to write structured and efficient queries on large data sets.
- A strong and confident communication style, with good knowledge of data visualisation and storytelling.
- A high degree of curiosity, comfortable gathering and analysing large amounts of data across a variety of business dimensions.
- Будет плюсом
- Experience with dbt is a strong plus, along with Python or R and Github;
- Development experience with BI platforms such as Looker, Tableau, Power BI.
- Experience with Looker and Look ML in particular is strongly preferred.
- Условия
- We offer comprehensive medical, dental, vision and Mental health support to all eligible employees.
- Company RSUs (Restricted Stock Units).
- Gopuff employee rewards (including some great brand partnership deals).
- Annual performance appraisal and bonus.
Data analyst in grocery retail employer: goPuff
Gopuff is an excellent employer that values its Operations Associates by offering a dynamic work environment in Cambridge, England, where teamwork and collaboration are at the forefront. With attractive benefits such as holiday pay and ample opportunities for career advancement, employees can thrive both personally and professionally while contributing to a fast-paced and impactful operation.
StudySmarter Expert Advice🤫
We think this is how you could land Data analyst in grocery retail
✨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 goPuff!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data analyst in grocery retail at goPuff.
✨Leverage Professional Networks
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 goPuff.
✨Apply Directly through Our Website
When you find a suitable opening like Data analyst in grocery retail at goPuff, 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 Data analyst in grocery retail
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 goPuff, 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 goPuff. 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 goPuff
✨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 goPuff!
✨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.
