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Growth Marketing

Ads Growth & Insights Data Analyst

  • São Paulo, Brazil
  • Pleno
  • On-site
  • Full time
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Location

São Paulo, Brazil

Setup

On-site

Posted

today

O que você vai fazer

About Us

BEES, a subsidiary of AB InBev (ABI), has revolutionized the global beer route to market by creating a digital B2B marketplace application that directly connects retailers with manufacturers and distributors, simplifying processes such as ordering, scheduling deliveries, and obtaining support. Originally launched in 2019 for ABI, BEES now encompasses relationships with 1st party partners (where ABI sells and distributes) as well as 3rd party CPG companies-such as Nestle, Mondelez, L’Oréal, and Gloria-offering them a Digital Transformation service to digitize their route to market. As of 2024, BEES operates as a multicategory application in 26 countries and continues to expand, with over 3.5 million registered customers, including retailers, bars, restaurants, hotels, grocery stores, and pharmacies, managing over $40 billion in global GMV annually.

Role Overview

As a Data Analyst on the BEES Ads Growth & Insights team, you will be responsible for turning campaign and platform data into information, information into insights, and insights into commercial decisions. You will work within the Growth & Insights team, closely supporting country leads, sales teams, and Ad Ops to build and maintain reporting, dashboards, and data quality routines that keep the retail media business running across our six biggest markets. This is a hands-on role for someone who is genuinely curious about how data can move commercial results.

Roles & Responsibilities

  • Data Management: Liaise with data teams to support with accuracy, integrity, and streamlined data access for stakeholders

  • Reporting and Visualization: Develop and manage dashboards and regular reports for stakeholders to track key metrics, including ad revenue, campaign performance, and customer engagement

  • Performance Analysis: Conduct deep dives into campaign results to identify trends, gaps, and opportunities for optimization

  • Strategic Support: Understand commercial and product challenges to deliver custom KPIs, analyses, and actionable recommendations presented through compelling storytelling

  • Stakeholder Collaboration: Work with local and global teams to address data needs, resolve discrepancies, and deliver actionable insights

Qualifications:

  • Experience in marketing or data roles, with exposure to big datasets and complex KPIs

  • Strong knowledge of SQL and data visualization tools (e.g., Tableau, Looker, Power BI); basic knowledge of Python or R for data analysis and automation tasks is a plus

  • Curious and analytical profile, with growing business and strategic vision

  • Prior experience with data analysis, reporting, SQL, and data wrangling, ideally in an advertising, e-commerce, or digital media context

  • Ability to analyze datasets and distill them into actionable insights that are presented in a logical and compelling story (data storytelling)

  • Excellent communication skills and flexibility to deal with different teams and demands

  • Excellent organizational skills with attention to detail and a proactive approach to problem-solving

  • Interest in working in cross-functional environments, supporting multiple stakeholders and countries

  • Fluency in English; Spanish is a plus

What We Offer:

  • Performance based bonus*

  • Attendance Bonus*

  • Private pension plan

  • Meal Allowance

  • Casual office and dress code

  • Days off*

  • Health, dental, and life insurance

  • Medicines discounts

  • WellHub partnership

  • Childcare subsidies

  • Discounts on Ambev products*

  • Clube Ben partnership

  • Scholarship*

  • School materials assurance

  • Language and training platforms

  • Transport allowance

*Rules applied

Ready when you are

Interested in this role?

Apply now and hear back within days, not weeks.

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Context

About Growth Marketing roles

Growth marketers drive user acquisition, activation, and retention through data-driven experimentation. They sit at the intersection of product, data, and marketing — running A/B tests, building funnels, and scaling what works.

A/B testingFunnel optimizationSQL & analyticsPaid acquisitionProduct-led growth
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