At a Glance
- Tasks: Analyse data to deliver insights that drive business decisions and optimise operations.
- Company: Join Gousto, a fast-growing recipe box company on a mission to revolutionise dinner time.
- Benefits: Flexible working, inclusive culture, and opportunities for personal and professional growth.
- Other info: Embrace a supportive environment where everyone can thrive and be their authentic selves.
- Why this job: Be part of a dynamic team that values innovation and collaboration in the food industry.
- Qualifications: Strong problem-solving skills, attention to detail, and familiarity with SQL and data visualisation tools.
The predicted salary is between 30000 - 40000 £ per year.
Here at Gousto, we are on a mission to become the UK's most loved way to eat dinner, and for every meal to leave the planet better off. Gousto is changing how people shop, cook and eat food at home. It’s an incredibly exciting time to join our team - and we’re a friendly bunch! We’re proud to be one of the fastest-growing companies in the UK. Powered by data and a love of food, we’re a recipe box company that’s disrupting the sector, and we’re passionate about our diverse team and our customers. All of our people are responsible for the success of Gousto, and we’re passionate about creating an inclusive environment for all to thrive. Our guiding values of, Dream, Deliver and Care - show our commitment to innovation, our ambition to hit goals at speed, and our deep respect for the people we work with.
Welcome to the Analytics team at Gousto! Based at our London HQ, you will join us as an individual contributor reporting directly to our Analytics Manager. You will be embedded within a cross-functional tribe, partnering closely with product managers, engineers, and fellow analysts to influence key business choices and drive operational performance. This is a fantastic opportunity to build the technical foundations of your data craft within a supportive, collaborative environment. In this role, you will work across the full analysis lifecycle, from data extraction and manipulation to advanced visualisation and communication, delivering clear insights that help expand our customer base and optimise day-to-day operations.
Core Responsibilities- Deliver clear, accurate insights to defined requests from your tribe, working with your manager and senior peers to shape the approach.
- Communicate findings clearly to both technical and non-technical stakeholders, tailoring the level of detail to the audience.
- Contribute to the design and maintenance of dashboards that scale insight and enable proactive performance monitoring.
- Investigate anomalies and trends in day-to-day performance, forming hypotheses and testing them against the data.
- Build reusable, well-documented data models and code that other analysts can pick up and extend.
- Actively seek and act on feedback to improve the quality of your work.
- Understand how your work ladders up to your tribe's OKRs and align your priorities accordingly.
- Contribute to Analytics knowledge sharing and improving ways of working.
- Brings a structured problem-solving approach and strong attention to detail.
- Demonstrates clear written and verbal communication, including the ability to explain analysis to non-technical stakeholders.
- Shows a genuine interest in the commercial context behind the data — understanding what a metric means for the business, not just how to calculate it.
- Feels comfortable writing SQL to extract, transform and interrogate data in a modern cloud data warehouse such as Databricks, Snowflake, BigQuery or similar.
- Experience presenting data through a BI tool such as Looker or Tableau as a plus.
- Maintains familiarity with web or product analytics platforms like GA4, Mixpanel, or Amplitude, and understands how event data supports decision-making as a plus.
- Possesses a curious, learning mindset, actively seeking feedback and motivated to grow both technical and stakeholder skills.
- Enjoys collaborating across cross-functional teams of product managers, engineers and other analysts.
Interview Process: Video Call with a Talent Acquisition Partner, Video Interview with Hiring Manager, Case Study/Task Interview.
Gousto is for everyone: Whether it’s creating diversity in our recipes or building new teams, we care about our people and the opportunities they have at Gousto. Across our business we lead with inclusivity and strive for equality in all we do; working hard to ensure Gousto is an environment where you can be totally yourself. Everyone is welcome and we’re looking for applications from people of all backgrounds and experiences. Excited but wondering if you tick every box? We recommend applying anyway so that we can review your profile. And, if you’re in a job share, why not just apply as a pair.
For our roles outside of Operations, most of our people spend 1 or 2 days in our offices every week, combining the benefits of flexibility and time together with colleagues. We want to enable you to do your best work, and if you require additional flexibility, please talk to us about it. If you have a disability that you’re worried will affect you during the interview process, please let us know, and we will do our best to help you feel comfortable. We’d love it if you could submit your application online. If you require an alternative method of applying, please let us know.
Junior Data Analyst in London employer: Gousto
Join a dynamic team as a Warehouse Operative, where you will enjoy competitive pay and a supportive work environment that values efficiency and teamwork. Our company fosters a culture of growth, offering training and development opportunities to help you advance your career while working in a well-organised warehouse that prioritises safety and productivity.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Analyst in London
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like Gousto when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like Gousto.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like Gousto.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through Gousto’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Junior Data Analyst in London
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at Gousto, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at Gousto aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at Gousto
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
