Hybrid Data Analyst – Forecasting

Posted last month

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About the role

  • 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.
  • Build dashboards and reporting tools to visualize key metrics and trends.
  • Simplify and automate forecasting processes, collaborating with tech teams to implement scalable solutions.
  • 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.

Requirements

  • Bachelor’s 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).

Benefits

  • 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.

Job title

Data Analyst – Forecasting

Job type

Experience level

Junior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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