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Data Analyst II RTO (They/She/He)

EXTRA HOLIDAYS - EXTRA PARENTAL LEAVE
Remote: 
Full Remote
Salary: 
4 - 4K yearly
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

+2 years of professional experience in quantitative analysis, Experience with statistical modeling and advanced analytics, Solid proficiency in SQL and statistical programming (Python), Knowledge of A/B testing, visualization tools, and strong English skills.

Key responsabilities:

  • Collaborate with teams to guide product decisions through data insights
  • Create actionable insights from business questions using statistical modeling
  • Develop self-service visualization tools and own analytics processes
  • Apply mathematical techniques to solve complex business problems
Glovo logo
Glovo Consumer Services Large https://about.glovoapp.com/
1001 - 5000 Employees
See more Glovo offers

Job description

Logo Jobgether

Your missions

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 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 culture and strong values. 

💪 Our career development philosophy.  

🤝 Our commitment to being a force for good. 

 

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

YOUR MISSION

Are you passionate about utilizing data to drive operational excellence? Join our Real Time Operations team as a Data Analyst and play a pivotal role in uncovering insights that optimize our global operations. If you thrive in fast-paced environments and want to contribute to reshaping real-time operations on a global scale, we're excited to hear from you.

THE JOURNEY

  • Work closely with product managers, business operations, and data engineering to guide product in problem discoveries, monitor and give visibility of product metrics and KPIs.
  • Translate product and business questions into analysis and actionable insights.
  • Develop and maintain scalable and self-service visualization tools and storytelling dashboards.
  • Own end-to-end everything analytics related to real-time operations products development cycle, from data requirement gathering and opportunity sizing, to experimentation and post-launch impact analyses.
  • Build robust relationships with stakeholders acting as a strategic and supportive link between the technology, business, and product.
  • Apply various advanced mathematical and statistical modeling techniques and analyses (A/B test, multivariate test, clustering, supervised learning, etc) to solve for product and business problems that drive the highest impact.

WHAT YOU WILL BRING TO THE RIDE

  • +2 years of professional experience outside of an academic and internship setting, in a quantitative analysis role, preferably in product facing teams
  • Experience with the application of statistical modeling and advanced analytics to provide product-shaping insights
  • Excellent SQL skills
  • Solid proficiency in statistical programming (Python) and experience working with popular tools such as Pandas, SciPy, Jupyter/iPython notebooks
  • Demonstrated experience in designing and analyzing experiments in digital products (A/B test, multivariate, etc)
  • Knowledge of visualization tools like Tableau and Looker
  • Excellent spoken and written English

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:

  • 🌟 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!

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Industry :
Consumer Services
Spoken language(s):
Check out the description to know which languages are mandatory.

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