Data Analyst - Customer Operations (They/She/He)

Posted 7 Hours Ago
Be an Early Applicant
Barcelona, Cataluña
Mid level
Consumer Web • Retail • Sales
The Role
As a Data Analyst for Customer Operations, you will support the Customer Compensations team by enhancing data availability and accuracy, optimizing compensation policies through A/B testing, and collaborating with product teams to improve customer retention strategies.
Summary Generated by Built In


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 25 countries. 

Together we revolutionise 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 culture and strong values. 

  • We have an ‘’office-first’’ culture and we place collaboration at the center of everything we do! 
  • We have a non-vanilla personality and feedback mindset. We don’t shy away from difficult conversations - we see them as a gift! 
  • We work with high intensity and have fun along the way.  We also celebrate the wins (a lot!). 
  • We celebrate diversity in all its forms and foster an inclusive culture where everyone can bring their authentic selves to work. 

💪Our career development philosophy. 

  • We are building a talent house of high performing teams and leaders. We invest in people who raise the bar and help others reach their full potential. 
  • We take ownership of our career development. We don’t believe in linear and predictable career paths - we create the job of our dreams! 
  • We embrace opportunities to move the needle and make an impact beyond our scope. 

🤝Our commitment to being a force for good. 

  • Our platform is an important economic tool for millions of people (customers, partners, couriers) and we are taking action to amplify our positive impact. 
  • We invest in doing good by dedicating time and resources into social and environmental initiatives. 
  • We have the ambition of being DIB role models across the tech industry. We are creating environments, systems, and processes that provide equal opportunities, break biases, and empower our communities.


We have a vision: To give everyone easy access to anything in their cities. And this is where your ride starts.

Glovo (glovoapp.com) is looking for a dynamic and analytical professional to support the Customer Compensations team in our headquarters in Barcelona. You will act and operate as a startup within a startup, providing both strategic thinking and analytical skills to help build excellence in Operations with focus into our compensation global policies. The team’s goal is to maximize customer retention on our daily operations at a minimal cost, bringing the best return on investment for each of the Glovo markets.


Be a part of a team where you will:

  • Be the point of contact for the whole company in terms of data availability, accuracy and reporting for Customer Compensations
  • Work closely with product teams to define the product roadmap and strategy to increase customer retention via compensations
  • Apply various advanced A/B testing techniques and analysis to drive optimisation of the compensation policies
  • Define and implement models to predict the impact of compensation policy changes
  • Contribute to the business discussion by suggesting actions derived from data insights to senior stakeholders
  • Identify the team’s data needs, defining the analytics roadmap and managing the prioritization of critical tasks within the team, coordinating the rest of analysts
  • Own the creation and structure of Compensations KPIs, ensuring proper implementation in the database
  • Define and design scalable dashboards to give visibility to the relevant stakeholders of the Compensations performance
  • Report to the Head of Customer Compensations within the Operations team

You have:

  • Bachelor in Computer Science, Data Engineering, or any other quantitative domain
  • 3+ years of professional experience outside of an academic and internship setting, in a quantitative analysis role
  • Mastery in SQL and Python
  • Good business understanding and ability to transform data insights into actions
  • Good understanding of how to extract insights from Data Warehouses and experience with a collaborative environment and/or version control (GitHub, Git) 
  • Ability to coordinate analytical projects
  • Ability to create robust, insightful, and story-telling data visualizations using modern BI & Analytics tools like Tableau or Looker
  • Proficiency in statistical analysis, including but not limited to hypothesis testing, regression analysis and predictive modeling
  • Knowledgeable and preferably experienced in designing and executing A/B testing, understanding statistical significance in the context of business metrics
  • Experience designing and building scalable and robust data pipelines to enable data-driven business decisions
  • Good communication skills and ability to influence senior stakeholders
  • Professional English


Nice to have:

  • Experience in Jupyter/iPython notebooks and pipelines orchestration
  • Project management skills


Individuals representing diverse profiles, 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:

  • 🌟 An enticing equity plan that lets you own a piece of the action.
  • 💪 Top-notch private health insurance to keep you at your peak.
  • 🍔 Monthly Glovo credit to satisfy your cravings!
  • 💳 Cobee discounts on transportation, food, and even kindergarten expenses.
  • 🏊 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!


Top Skills

Data Analysis
The Company
Barcelona, Catalonia
10,009 Employees
On-site Workplace
Year Founded: 2015

What We Do

Glovo is a pioneering multi-category app connecting users with businesses, and couriers, offering on-demand services from local restaurants, grocers and supermarkets, and high street retail stores. Glovo’s vision is to give everyone easy access to everything within their city, so that our users can enjoy what they want, when they want, where they want. Founded in 2015 in Barcelona, it operates across 25 countries in Europe, Central Asia and Africa

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