At a Glance
- Tasks: Lead commercial analytics to drive data-driven decisions and optimise our meal delivery services.
- Company: Join HelloFresh, the world's leading meal kit provider with a mission to change how people eat.
- Benefits: Enjoy competitive pay, inclusive culture, and opportunities for professional growth.
- Other info: Be part of a diverse team that values inclusion and celebrates different backgrounds.
- Why this job: Make a real impact on food sustainability while working in a dynamic, collaborative environment.
- Qualifications: Experience in analytics and a passion for data-driven decision-making.
The predicted salary is between 54000 - 66000 £ per year.
At HelloFresh, our mission is simple: to change the way people eat, forever. As a global digital-native FMCG company and the world's leading meal kit provider, we are transforming the traditional food supply chain through a data-driven, on-demand model that enables scalable and more sustainable food delivery.
The HelloFresh Group includes eight brands serving customers across multiple meal occasions, including HelloFresh, Green Chef, EveryPlate, and Chefs Plate, as well as ready-to-eat meals from Factor and YouFoodz, meat and seafood subscriptions through Good Chop, and pet nutrition with The Pets Table. Through technology, data, and culinary innovation, we deliver personalized food experiences to millions of households worldwide.
We believe that sharing a meal brings people of all identities, backgrounds, and cultures together. We are committed to celebrating all dimensions of diversity in the workplace equally and ensuring that everyone feels a sense of inclusion and belonging. We also aim to extend this commitment to the partners we work with and the communities we serve. We are constantly listening, learning, and evolving to deliver on these principles.
We are proud of our collaborative culture. Our diverse employee population enables us to connect with our customers and turn their feedback into meaningful action - from developing new recipes to constantly improving our process of getting dinner to our customers’ homes. Our culture attracts top talent with shared values and forms the foundation for a great place to work!
We are an equal-opportunity employer and do not discriminate on the basis of an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. As part of the Company’s commitment to equal employment opportunity, we provide reasonable accommodations, up to the point of undue hardship, to candidates at any stage, including to individuals with disabilities.
If you need an accommodation during the application process, please reach out to us at:
- Europe: EUaccommodations@hellofresh.com
- APAC: APACaccommodations@hellofresh.com
- United States: USCandidateAccommodations@hellofresh.com
- Canada: CAaccommodations@hellofresh.com
We know what it's like to be passionate about your career. So we've created a community where you can learn more about us and how you can grow your career. We'll invite you to events, share even more career opportunities, and give you hacks for continuous professional growth.
You want to make a difference. We change the way people eat-forever.
You want to be part of a team. We're a smart and collaborative community.
You want to learn and grow. We're evolving an industry, and learning together as we grow.
You're hungry. We're HelloFresh—and everyone is welcome at our table.
You want to produce real results, fast. We use data and consumer insight, not gut-feeling, to help us prioritise and deliver.
You're looking for a change. We thrive on it.
No matter what neighborhood we happen to call home, HelloFresh employees all share the same values. Check out what some of those values are, and explore our global community.
Kickstart your next career step at the HelloFresh Group. Find jobs that suit you best.
Come back often to learn about what we're up to. You'll get to know our employees and hear about our company's recent accomplishments.
Ever wondered how all of our operations are coordinated and how we ensure that we always keep our supply chain efficient? Explore the tech side of life at HelloFresh.
Commercial Analytics Lead employer: Greenlever
Miro is an exceptional employer that fosters a collaborative and innovative work culture, particularly in the vibrant city of London. With a strong focus on employee growth, Miro offers a comprehensive benefits package including equity, wellbeing support, and a dedicated Learning & Development stipend, ensuring that team members feel valued and empowered to reach their full potential. Join a diverse team where your contributions directly impact the company's success and where you can thrive in a supportive environment that embraces creativity and inclusivity.
StudySmarter Expert Advice🤫
We think this is how you could land Commercial Analytics Lead
✨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 Greenlever!
✨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 Commercial Analytics Lead at Greenlever.
✨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 Greenlever.
✨Apply Directly through Our Website
When you find a suitable opening like Commercial Analytics Lead at Greenlever, 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 Commercial Analytics Lead
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 Greenlever, 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 Greenlever. 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 Greenlever
✨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 Greenlever!
✨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.
