Brand Ads Data & Optimization Intern

Delivery Hero

Lombardia

On-site

EUR 26,000 - 36,000

Full time

14 days+

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Job summary

Glovo, part of the Delivery Hero Group, is seeking a detail-oriented analyst to support the Brands Ads team with data cleaning and process setup. You will collaborate with the Ads team to implement efficient workflows and ensure data quality for performance insights.

In this fast-growing startup environment, you will help categorize and optimize the product assortment to enhance the shopping experience, while communicating findings and opportunities to the team.

Qualifications

  • Previous short experience (internship or temporary - 0-1 years) in analytical or commercial roles.
  • Strong analytical skills; support day-to-day and ad hoc analysis.
  • Organized and able to assist internal projects for maximum efficiency.
  • Comfortable in a fast-changing, high-growth startup with a fast pace.
  • Strong sense of ownership, bias for action, deadline-driven with hands-on spirit.
  • Empathetic, inclusive and curious attitude across the business.
  • Fluent in English; additional languages are a plus.

Responsibilities

  • You will work hand in hand with the Ads team in defining and implementing a process of data cleaning and optimization.
  • Define the strategy, identifying opportunities of improvement and implementing them.
  • Provide insights and updates to the team, proactive support and help on best practices.
  • Be responsible for offering an amazing shopping experience by categorizing & sorting the assortment based on user needs.

Skills

Analytical skills
Ownership mindset
Fast-paced
Agile
English fluency
Organized
Empathetic
Curious
Cross-functional

Job description

Glovo, part of the Delivery Hero Group, is seeking a detail-oriented analyst to support the Brands Ads team with data cleaning and process setup. You will collaborate with the Ads team to implement efficient workflows and ensure data quality for performance insights.

In this fast-growing startup environment, you will help categorize and optimize the product assortment to enhance the shopping experience, while communicating findings and opportunities to the team.

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