Data Internship Program (They/She/He)

If you’re here, it’s because you’re looking for an exciting ride. 

A ride that will fuel up your ambitions to take on a new challenge and stretch yourself beyond your comfort zone. 

We’ll deliver a non-vanilla culture built on talent, where we work to amplify the impact on millions of people, paving the way forward together. 

Not your usual app. We are the fastest-growing multi-category app connecting millions of users with businesses, and couriers, offering on-demand services from more than 170,000 local restaurants, grocers and supermarkets, and high street retail stores. We operate in more than 1500 cities across 23 countries. 

Together we revolutionize the way people connect with their everyday needs, from delivering essentials to connecting our ecosystem of users through innovative solutions powered by technology. For us, every day is filled with purpose.

What makes our ride unique? 

🤝 Our strong culture and non-vanilla personality. 

💪 A Talent House. 

🤝 Our commitment to being a force for good. 

We have a vision: To give everyone easy access to anything in their cities. Our vision is ambitious, for that we need driven talent! And this is where your ride starts…

YOUR MISSION

You will join one of our cross-functional teams in the Data department in Barcelona, where you will learn from top Analytics Engineers, Product Data Scientists, and Data Analysts and collaborate with Business and Product stakeholders. You will work on end-to-end data solutions that drive business impact! During this internship, you will have the opportunity to work on cutting-edge data projects, learn about advanced analytics, and develop data modeling, visualization, statistics, and automation skills.

THE JOURNEY 

• Develop Data-Driven Insights: Learn how to analyze and interpret data to provide valuable insights that contribute to decision-making across different business areas.
• Collaborate Across Teams: Work closely with product, engineering, and operations teams to understand their data needs and help translate them into meaningful solutions.
• Enhance Your Technical Skills: Gain hands-on experience with data modeling, statistical analysis, and visualization tools, while following industry best practices.
• Support Key Business Metrics: Help monitor, analyze, and optimize business and product and operational metrics, making data more accessible and actionable.
• Experiment & Innovate: Engage in exploratory analyses, hypothesis testing, and experimentation to improve products and business strategies.
• Improve Data Quality: Assist in building and maintaining data pipelines, ensuring data accuracy, consistency, and reliability.
• Communicate Findings Effectively: Develop storytelling and visualization skills to present complex data in a clear and impactful way for diverse stakeholders.
• Stay Curious & Keep Learning: Continuously explore new data methodologies, technologies, and industry trends to expand your knowledge and skills.

WHAT YOU WILL BRING TO THE RIDE

• Your eagerness and enthusiasm to start a journey in the data industry and embrace new challenges!
• Effective Communication (English)
• You're currently on an exciting STEM (Science, Technology, Engineering, and Math) journey.
• Strong Computer Science and Data Analytics knowledge.
• Knowledge of SQL, Python, or other data-related programming languages.
• Problem-Solving Acumen and a proactive approach to innovation.
• Willingness to learn and adapt to various data roles.
• Cross-Cultural Awareness - appreciation of diverse perspectives.
• You are available for a 6-month full-time internship.

DATA INTERNSHIP OPPORTUNITIES We offer internships in three key data roles:

Data Analysts: Specialists in descriptive and diagnostic analytics, DAs excel in data visualization and storytelling, transforming raw data into actionable insights. They communicate trends effectively and enable teams across the company to make data-driven decisions. DAs also automate decision-making processes using Python scripting.

Analytics Engineers: Driving our strong data foundation, AEs are experts in data modeling and creating scalable data pipelines. They understand business challenges, build efficient ETL processes, and generalize use cases into common data models. Their work extends to data visualization, ensuring end-users can leverage insights effectively.

Product Data Scientists: These DSs go beyond descriptive analytics to specialize in prescriptive analysis and modeling. With a strong product mindset, they ensure their analyses are statistically rigorous and apply their expertise to complex business challenges. By navigating the discovery > hypothesis generation > testing > analysis loop, they optimize decision-making processes across the organization while tackling standardized data science problems.

If you're passionate about data and ready to make an impact, join us on this exciting journey!

Individuals representing diverse profiles, and abilities, encompassing various genders, ethnicities, and backgrounds, are less likely to apply for this role if they do not possess solid experience in 100% of these areas. Even if it seems you don't meet our musts don't let it stop you, we are all about finding the best talent out there! Skills can be learned, and embracing diversity is invaluable.

We believe driven talent deserves:

• 🍔 Monthly Glovo credits to satisfy your cravings!
• 🏊 Discounted gym memberships to keep you energized.
• 🏖️ Extra time off, the freedom to work from home two days a week, and the opportunity to work from anywhere for up to three weeks a year!
• 👪 Enhanced parental leave, and office-based nursery.
• 🧠 Online therapy and wellbeing benefits to ensure your mental well-being.

Here at Glovo, we thrive on diversity, we believe it enhances our teams, products, and culture. We know that the best ideas come from a mashup of brilliant diverse minds. This is why we are committed to providing equal opportunities to talent from all backgrounds - all genders, racial/diverse backgrounds, abilities, ages, sexual orientations and all other unique characteristics that make you YOU. We will encourage you to bring your authentic self to work, fostering an inclusive environment where everyone feels heard. 

Feel free to note your pronouns in your application (e.g., she/her/hers, he/him/his, they/them/theirs, etc).

So, ready to take the wheel and make this the ride of your life? 

Delve into our culture by taking a peek at our Instagram and check out our Linkedin and website!