At a Glance
- Tasks: Support data-driven decisions and improve the foodservice industry with innovative projects.
- Company: Join Collectiv Food, a diverse team in King’s Cross focused on collaboration and growth.
- Benefits: Gain hands-on experience, develop new skills, and enjoy a supportive work environment.
- Other info: Flexible office attendance and opportunities for career advancement in a dynamic setting.
- Why this job: Make a real impact while learning cutting-edge data analysis tools and techniques.
- Qualifications: Basic SQL knowledge and familiarity with AI tools; passion for data is key.
The predicted salary is between 20000 - 30000 £ per year.
Collectiv Food is looking for a Placement Data Analyst to join our dynamic team and support the future of B2B food distribution. Based in King’s Cross, this role is part of a collaborative and supportive team where new ideas and learning are encouraged. As a member of the data team, you will work on meaningful projects that contribute to improvements across the foodservice industry. This role requires working from our London office 2–3 times per week to connect with the wider team. Candidates should be based in London or able to travel as needed.
Key Responsibilities and Duties
- As our first Placement Data Analyst, you will play a key role in helping us use data effectively across the organisation.
- With guidance from the data analyst, you will develop new skills, gain experience with different technologies, and collaborate with colleagues and stakeholders across the business.
- Learn a modern and user-friendly data analysis tech stack (Snowflake/Looker).
- Use the support of an AI agent to crunch data and help refine the AI agent for better outputs.
- Get familiar with an orchestration tool (Dagster) to schedule data extraction and transformation.
- Organise and structure raw data from a variety of sources.
- Work with teams across the business to understand their needs and build data models in Looker to explore opportunities and assess risks.
- Create clear and engaging dashboards to share insights and support decision‑making.
- Contribute to simple tools using Google Sheets and Google Apps Script.
- Build relationships with teams across the business to understand their challenges and support data‑driven decision‑making.
- Balance analytical and technical thinking to support business objectives.
Key Skills and Competencies
- Basic SQL knowledge – ability to read and write simple SQL statements.
- Exposure to AI tools (ChatGPT, Claude…).
- Strong skills in Google Sheets/Excel.
- Understanding of different data formats – JSON, XML, CSV, etc.
*These skills and experiences serve as a guide. If you believe you have the ability to succeed in this role, we encourage you to apply.
Collectiv Food is an equal opportunity employer. We are a diverse bunch of people who are committed to cultivating a welcoming culture of inclusion and equality.
Junior Data Analyst employer: HR Duo, Ltd.
Collectiv Food is an excellent employer for aspiring data analysts, offering a vibrant work culture in the heart of King’s Cross. With a strong emphasis on collaboration and continuous learning, employees are encouraged to develop their skills while working on impactful projects that drive innovation in the foodservice industry. The company values diversity and inclusion, providing a supportive environment where every team member can thrive and contribute meaningfully.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Analyst
✨Get Involved in Data Communities
Join local data science meetups or online communities like Kaggle, where you can showcase your skills through competitions and collaborate with others. Being part of these groups not only boosts your visibility but also opens up potential placement opportunities!
✨Leverage University Career Services
Don’t forget to check in with your university’s career services! They often have exclusive placement opportunities, workshops, and networking events tailored for data science students that can help you land that sweet gig at HR Duo, Ltd..
✨Show Off Your Projects
Create a public portfolio or blog where you can share your data science projects. This not only demonstrates your skills but also gives potential employers like HR Duo, Ltd. a taste of what you can do! Plus, it’s a great conversation starter in interviews.
✨Connect with Professionals on LinkedIn
Reach out to data science professionals on LinkedIn and ask for informational interviews. Get to know their journeys and share your interest in placements. This approach makes you memorable and could open doors to opportunities at places like HR Duo, Ltd..
We think you need these skills to ace Junior Data Analyst
Some tips for your application 🫡
Show off Your Data Skills:As a budding data scientist, we want to see your hands-on experience. Make sure your CV highlights any relevant projects you've worked on, especially those involving data analysis or machine learning. Include any programming languages you're proficient in, like Python or R, and don't forget to mention tools like TensorFlow or SQL that you’ve used!
Craft a Passionate Cover Letter:For a placement, your enthusiasm and eagerness to learn mean loads to us! In your cover letter, express what excites you about data science and how it aligns with your aspirations. Share specific examples of what you've learned so far – whether it's courses, personal projects, or even data challenges you've tackled!
Make Your Projects Pop:We love seeing practical examples of your work, so if you have a portfolio, now's the time to shine! Include detailed descriptions of your projects, the data sources you used, the challenges you faced, and what you achieved. If possible, share links to your GitHub or a personal website showcasing your work – it adds that extra touch!
Demonstrate Statistical Knowledge:Data science isn't just about coding; it's also about understanding the stats behind the algorithms. Be sure to highlight any coursework or relevant certifications you have in statistics or data analysis on your CV. It’ll show us you’ve got the theoretical background to complement your practical skills!
How to prepare for a job interview at HR Duo, Ltd.
✨Master Your Data Tools
For a data science placement, it's crucial to get comfy with tools like Python, R, or SQL. Brush up on libraries like Pandas and NumPy, as you might be thrown some technical questions during the interview that require real-time coding or problem-solving.
✨Showcase Your Projects
Bring along a portfolio of your data projects, especially if they're relevant to HR Duo, Ltd.. Whether it's a Kaggle competition or a personal project, showing off your practical work can really set you apart and demonstrate your hands-on experience.
✨Prepare for Case Studies
Interviews in data science often include case study questions. Be ready to walk through your thought process on how to approach a data problem, what analysis you'd do, and how you'd interpret the results. This shows your analytical thinking and understanding of data.
✨Express Your Enthusiasm
Since it's a placement, they're looking for potential and enthusiasm just as much as skills. Be sure to express why you're passionate about data science, how you're eager to learn, and why you want to join HR Duo, Ltd. specifically. Let your motivation shine through!
