Data Science Product Analyst

Data Science Product Analyst (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 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.

YOUR MISSION

Within the Growth organization, the Lifecycle Data team collaborates with Product and CRM teams on driving activation, engagement, and retention of customers by means of deals, communication, and a loyalty program. We discover and size new opportunities, define statistical methodologies, run experiments, and provide advanced data tools for improved personalization of user experience and profitable growth for Glovo.

THE JOURNEY

Be part of a team where you will:

• Leverage advanced statistical modeling and machine learning techniques to solve for product and business problems that drive the highest impact.
• Work closely with multi-disciplinary teams to define the product roadmap and strategy, monitor and give visibility of product metrics and KPIs.
• Drive product discovery, formulate data-driven hypotheses and convert them into analysis and actionable insights.
• Own analytics tasks end to end in the product development cycle: from ideation and opportunity sizing to experimentation and post-launch impact analyses.
• Foster strong relationships with stakeholders acting as a strategic and supportive link between the technology, business, and product.

WHAT YOU WILL BRING TO THE RIDE

Requirements:

• 2-5 years of professional experience outside of an academic and internship setting, in a quantitative analysis role, preferably in product facing teams
• A higher education in a scientific discipline such as Physics, Statistics, Computer Science, Mathematics or Economics.
• Knowledge and experience in digital product development and working with diverse stakeholders
• Demonstrable experience with the application of statistical modeling and advanced analytics to provide product-shaping insights and drive decision-making
• Deep theoretical and applied knowledge in at-least one of the following areas: supervised and unsupervised learning, deep learning, reinforcement learning, game theory, statistical inference, bayesian statistics, causal inference, time series analysis, decision theory, mathematical optimisation
• Good understanding of software development and agile methodologies
• Mastery in SQL and statistical programming (Python) and experience working with popular libraries such as Pandas, SciPy, Seaborn, Jupyter/iPython notebooks
• Demonstrated experience in designing and analyzing experiments in digital products (A/B test, multivariate, etc)
• Knowledge of visualization tools like Tableau, Looker, PowerBI
• Excellent spoken and written English

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 with zero delivery fees on all Glovo orders!
• 💳 Cobee discounts on transportation, food, and even kindergarten expenses.
• 🏊 Discounted gym memberships to keep you energized.
• 🏖️Flexible time off (uncapped vacation days) , 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.
• 📚 An external learning budget to fuel your thirst for knowledge and personal growth.

Here in 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 checking out our Linkedin and website!