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Data Analyst – Brand Advertising (They/She/He)

Posted about 2 months agoViewed

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💎 Seniority level: Senior, 3-5 years

📍 Location: Spain

🔍 Industry: Advertising

🏢 Company: Glovo👥 1001-5000💰 $527,731,096 Series F almost 4 years ago🫂 Last layoff about 2 years agoDelivery ServiceFood DeliveryLogisticsTransportationMobile Apps

🗣️ Languages: English

⏳ Experience: 3-5 years

🪄 Skills: PythonSQLData AnalysisNumpyTableauData engineeringPandasData visualizationA/B testing

Requirements:
  • 3-5 years of professional work experience in a similar analytics role, preferably in advertising.
  • Demonstrated proficiency in SQL and Python for querying mid to large data volumes.
  • Higher education in a scientific discipline such as Physics, Statistics, Computer Science, Engineering, or Mathematics.
  • Knowledge or experience in digital product development.
  • Understanding of A/B testing principles for experiment design and analysis.
  • Mastery in SQL and statistical programming (Python/R) with experience in tools like Pandas, SciPy, Seaborn, Jupyter/iPython notebooks, R Markdown.
  • Experience in designing and analyzing experiments in digital products.
  • Knowledge of visualization tools like Tableau, Looker, or PowerBI.
  • Excellent spoken and written English.
  • Experience in FMCG/CPG analytics is a plus.
Responsibilities:
  • Measure the effectiveness of commercial initiatives and establish KPIs for performance.
  • Design new KPIs to assess advertising campaigns.
  • Build data processing pipelines for Looker Dashboards.
  • Deliver actionable insights and strategic initiatives for market challenges.
  • Use first-party data for custom user segments and audience capabilities.
  • Create segmentation criteria for advertising relevance.
  • Integrate APIs with Ads buying platforms.
  • Support local teams with centralized dashboards for FMCGs Sales.
  • Enhance how local teams consume and share data with brands.
  • Apply advanced mathematical and statistical techniques to address product and business challenges.
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