Data Analyst Forecasting (TheySheHe)

Glovo

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profile Job Location:

Barcelona - Spain

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

If youre here its because youre looking for anexciting ride.

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

Well 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 170000 local restaurants grocers and supermarkets and high street retail stores. We operate in more than 1500 cities across 23 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.

Our career development philosophy.

Our commitment to being a force for good.

We have a vision: Building the largest marketplace in your city to give access to anything in minutes. And this is where your ride starts.

YOUR MISSION

We are seeking a highly motivated and analytical Forecast Analyst to join Glovos central Forecasting team focused on Spain. This role is crucial in ensuring the right number of riders are available at the right time and place optimizing efficiency across cities and third-party logistics partners.

You will play a key role in executing and improving rider demand forecasts translating data into actionable operational insights and helping the business make informed decisions that maximize service quality while optimizing resource allocation.

THE JOURNEY

Forecast Execution & Monitoring

  • Own rider demand forecasts at city-hour-3PL level tracking accuracy (MAPE) and bias (BIAS) to continuously improve performance.
  • Incorporate external drivers such as special events football matches and weather into forecasts.

  1. Data Tools & Process Improvement
  • Build dashboards and reporting tools to visualize key metrics and trends.
  • Simplify and automate forecasting processes collaborating with tech teams to implement scalable solutions.

  1. Operational Insights & Recommendations
  • Translate forecasts into actionable recommendations for rider allocation operational planning and efficiency optimization.
  • Collaborate with Spanish operations and other stakeholders to validate forecasts and identify proactive adjustments.
  • Analyze patterns trends and anomalies to improve resource planning and overall service performance.

WHAT YOU WILL BRING TO THE RIDE

  • Bachelors degree in Business Data Analytics Math Statistics Engineering or a related field.
  • 1-3 years of experience in data analysis business intelligence or a similar analytical role preferably within the logistics e-commerce or gig economy sectors.
  • Strong analytical skills with the ability to interpret complex data accurately and extract actionable insights.
  • Proficiency in SQL Excel/Google Sheets
  • Experience with data visualization tools (e.g. Tableau Looker Studio).
  • Excellent communication and interpersonal skills in English.
  • Proactive self-starter with a strong sense of ownership and accountability.
  • Ability to work independently and as part of a team in a fast-paced environment.

Nice to have:

  • Python or R for data analysis
  • Experience with forecasting models logistics or operational planning.
  • Spanish language skills (useful for local collaboration).

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 dont meet our musts dont 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!
  • 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 Experience:

IC

If youre here its because youre looking for anexciting ride.A ride that will fuel up your ambitions to take on a new challenge and stretch yourself beyond your comfort zone.Well deliver a non-vanilla culture built on talent where we work to amplify the impact on millions of people paving the way for...
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Key Skills

  • Data Analytics
  • Microsoft Access
  • SQL
  • Power BI
  • R
  • Data Visualization
  • Tableau
  • Data Management
  • Data Mining
  • SAS
  • Data Analysis Skills
  • Analytics

About Company

Glovo is the food delivery site that will get you anything you want to your doorstep. You order online, you'll have it!

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