Paid Media Analyst

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June 6

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Tiendamia

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eCommerce • Retail

Tiendamia is a company that operates in multiple Latin American countries, including Argentina, Brazil, Costa Rica, Ecuador, Peru, and Uruguay. As suggested by the presence in these countries, Tiendamia likely involves activities related to cross-border retail or e-commerce, providing shopping solutions to its customers.

201 - 500 employees

🛍️ eCommerce

🛒 Retail

📋 Description

• We are seeking a highly analytical and detail-oriented Paid Media Analyst to join our Acquisition team. • You will be responsible for transforming raw data into actionable insights. • Building robust reporting infrastructure, and ensuring the accuracy and integrity of our digital marketing data. • You'll be instrumental in optimizing our acquisition strategies by providing deep analytical support. • Perform in-depth data analysis to identify trends, opportunities, and anomalies in acquisition performance. • Collaborate closely with the Paid Media team to define key metrics. • Conduct data quality audits and troubleshoot tracking issues. • Develop and implement A/B testing methodologies for various acquisition strategies. • Automate reporting processes where feasible to improve efficiency.

🎯 Requirements

• Bachelor’s degree or final-year student in Engineering, Computer Science, Statistics, Mathematics, Economics, or a related quantitative field. • Up to 1-2 years of experience in data analysis, reporting, or internships in business intelligence or digital marketing environments (e-commerce experience is a plus). • Knowledge of Google Analytics 4 (GA4), with an interest in deepening expertise in setup, configuration, and analysis. • Exposure to Google Tag Manager (GTM) or willingness to learn how to implement and manage tracking tags. • Familiarity with data visualization tools like Looker Studio (preferred) or interest in learning tools such as Power BI or Tableau. • Good command of Excel or Google Sheets for basic data manipulation, charts, and formulas. • Foundational understanding of SQL or willingness to develop querying skills for databases. (desirable) • Curious and analytical mindset, with a desire to grow in working with large datasets and generating actionable insights. • Strong written and verbal communication skills, with an eagerness to learn how to present findings to various audiences. • Self-motivated and detail-oriented, with a willingness to work collaboratively and continuously improve.