Data Analyst

Vaga não está no LinkedIn

🕒 Julho 29, 2025

Candidatar-se

Encontrar Vagas Remotas Similares

Receber Emails de Vagas Remotas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

Growe

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

Fundada em 2019

🎮 Jogos

🤝 B2B

Gaming • B2B • Entertainment

A Growe é uma empresa dinâmica que atua com ousadia nas indústrias de iGaming e Entretenimento. Sua missão é desbloquear potencial e criar oportunidades ao lançar novas marcas de iGaming pela Ásia e América Latina. A expertise reunida em mercados diversos permite à Growe unir marcas globalmente e aprimorar a experiência de jogo, tornando-a um player-chave no crescimento do setor.

Descrição

•Analyze partner traffic, user behavior, payments, and promo campaign performance; •Build and automate reporting in Tableau, SQL, and Google Sheets — from daily dashboards to monthly summaries; •Work with data from multiple sources, validate and clean it, and prepare it for analysis; •Help affiliate and brand teams find answers: which sources perform best, what needs fixing, which creatives convert; •Monitor data quality, identify anomalies and inconsistencies, and ensure metric accuracy across reports; •Participate in hypothesis testing and suggest improvements across traffic, bonuses, and partner engagement; •Translate complex data into clear visuals and actionable recommendations for different stakeholders.

🎯 Requisitos

•3+ years of experience in data analytics; •Proficient in SQL, Tableau, and Google Sheets / Excel (pivots, lookups, formulas, data structuring); •Experience working with large datasets and building reports from scratch; •Experience in the gambling niche is a must; •Strong skills in data validation, process automation, and logic structuring for business metrics; •Experience working closely with cross-functional teams (marketing, finance, affiliate, brand); •Ability to clearly present findings — both visually and in writing; •English — Upper-Intermediate (some teams operate fully in English).