---
title: 'Senior Data Analyst at BEES'
canonical: 'https://feeny.ai/job/senior-data-analyst-bees-campinas-sao-paulo-mtry2kh654wx'
type: 'job'
last_seen: '2026-10-17'
---

# Senior Data Analyst at BEES

- **Company:** BEES
- **Location:** Campinas São Paulo, Brazil
- **Posted:** 2026-08-07
- **Last confirmed live:** 2026-10-17
- **Apply:** https://job-boards.greenhouse.io/bees/jobs/8675759002

## Job description

## About us

AB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa.

## About BEES

At BEES, our ambition is – and always will be – to put customers at the heart of everything we do, making their lives easier and their businesses more profitable. Through our B2B e-commerce and SaaS platform, we bring the power of digital to small and medium-sized retailers, unlocking new growth opportunities for all.

## What you'll do

- Partner with Product, Commercial, and Business stakeholders to solve complex business challenges through data, transforming ambiguous questions into structured analytical approaches and actionable recommendations.
- Design, define, and maintain business KPIs, ensuring metric consistency, data quality, and alignment across teams and regions.
- Analyze large datasets using SQL and Python to identify trends, diagnose business issues, evaluate opportunities, and support strategic decision-making.
- Design and maintain scalable analytical solutions, including semantic models, Power BI dashboards, and self-service reporting that enable informed business decisions.
- Lead deep-dive investigations, root cause analyses, and impact assessments for product launches, commercial initiatives, and operational performance.
- Design and evaluate experiments, measure business impact, and provide data-driven recommendations based on statistical evidence.
- Leverage AI tools (such as LLMs, code assistants, and AI-powered analytics solutions) to accelerate data exploration, automate repetitive analyses, improve documentation, and enhance productivity while ensuring analytical accuracy.
- Transform analytical findings into compelling stories that clearly communicate business impact and influence decisions across technical and executive audiences.
- Partner closely with Data Engineering to improve data quality, validate data pipelines, and ensure reliable reporting foundations.
- Mentor analysts through technical guidance, analytical problem solving, code reviews, and stakeholder communication.
- Collaborate with global teams, driving alignment, standardization, and knowledge sharing across regions.

## What you'll need

- Bachelor's or Master's degree in Engineering, Computer Science, Statistics, Mathematics, Economics, or another quantitative discipline.
- Expert SQL skills, including complex joins, CTEs, window functions, query optimization, and large-scale analytical transformations.
- Advanced Power BI knowledge, including semantic modeling, DAX, visualization design, and performance optimization.
- Strong Python skills for data analysis, statistical modeling, and automation.
- Experience working with large analytical datasets and translating business questions into scalable analytical solutions.
- Solid understanding of statistics, experimentation, and hypothesis-driven analysis.
- Experience applying AI tools to improve analytical workflows, coding productivity, documentation, or insight generation.
- Strong understanding of data visualization best practices and user-centered dashboard design.
- Excellent storytelling skills with the ability to translate complex analyses into clear business recommendations.
- Advanced English communication skills.

More about you

- You enjoy solving ambiguous business problems instead of simply answering predefined requests.
- You're naturally curious and continuously look for opportunities to improve products, processes, and business performance.
- You balance technical excellence with business acumen and understand how analytics influences strategic decisions.
- You're comfortable challenging assumptions through data and influencing stakeholders at different organizational levels.
- You proactively leverage emerging technologies, including AI, to work smarter while maintaining high analytical standards.
- You enjoy mentoring others and helping raise the technical bar across the team.

## 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

## Equal Opportunity & Affirmative Action

AB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based on race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.

The following fields are optional, but anticipate the information for your registration*. Remember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group can analyze diversity and reduce bias in selection processes. We want to contribute to changing this reality by being an inclusive company.

For more information: www.abinbev.com

## About BEES

## Company Overview
- **One-liner**: BEES is a global B2B digital commerce platform that connects retailers, brand owners, and distributors through an AI-powered ecosystem spanning ordering, delivery, payments, and insights.
- **Entity Type**: Private (spin-off from AB InBev, co-created with Ambev)
- **Headquarters**: Rotkreuz, Zug, Switzerland
- **Founded**: 2020 (as a digital-first venture from AB InBev)
- **Founders**: Co-created by AB InBev and Ambev (individual founder names not publicly disclosed)

## Core Business
- **Primary industry**: B2B digital commerce platform; IT Services and IT Consulting (per LinkedIn)
- **Target customers**: Small and medium-sized retailers (B2B), brand owners (fast-moving consumer goods), distributors
- **Mission statement**: Making commerce better for retailers and sellers around the world ([bees.com/about](https://www.bees.com/about?noredirect=1))

## Products & Services
- **BEES Ordering**: AI-personalized shopping experience for retailers, with rewards and recommendations ([bees.com](https://www.bees.com/))
- **BEES Deliver**: Optimizes delivery territories, routes, and on-time execution for distributors
- **BEES.ai**: Intelligence layer that transforms data from every touchpoint into smarter selling, execution, and planning
- **BEES One**: Unified mobile app for retailers covering ordering, rewards, and remote sales support
- **BEES Care**: Customer service solution with agent guidance and fast resolution
- **Integrated Payments**: Flexible checkout options and operational efficiency tools
- **Data Connect**: Delivers datasets directly into client systems for better commercial decisions
- **Frontline Effectiveness Services**: Field performance optimization with AI-powered territory planning
- **Integrated Marketing Campaigns**: Coordinated online/offline marketing during key selling moments

## Market Standing
- **Valuation / Market Cap**: Not publicly available (private entity)
- **Key Metrics**:
  - $15B GMV in Q1 2026 ([bees.com](https://www.bees.com/))
  - 36M orders placed in Q1 2026
  - 500+ sellers on platform
  - 200+ brand partners; $49B in annual orders through platform (2024) ([bees.com/about](https://www.bees.com/about?noredirect=1))
- **Notable Investors / Partners**: AB InBev and Ambev are the founding backers; portfolio includes 500 iconic brands (e.g., Budweiser, Stella Artois)
- **Growth Signals**:
  - Active in 28 countries as of 2024
  - Headcount: 468 employees (+2.3% YoY; +19 people); 32 active job postings (+966.7% YoY)
  - Geographical expansion into Africa, APAC; new HQ in Switzerland; offices in Hong Kong, New York, Brazil ([linkedin.com/company/beesb2b](https://www.linkedin.com/company/beesb2b))

## Competitive Advantages
- **Built on AB InBev’s expertise**: Decades of sales and distribution know-how embedded in the platform
- **Direct retail network**: Access to 6+ million small and medium retailers worldwide
- **AI-powered ecosystem**: BEES.ai connects all touchpoints (ordering, delivery, payments, service) for a single route-to-market view
- **Multi-product offering**: Tailored solutions for retailers, brand owners, and distributors within one platform

## Strategic Focus
- **Global expansion**: Continuing to enter new markets in Africa and APAC
- **AI-first transformation**: Deploying AI to personalise recommendations, optimise logistics, and improve commercial execution
- **Deepening partner ecosystem**: Onboarding more brand owners and third-party distributors to digitise route-to-market
- **Scaling payments**: Expanding integrated payment solutions to drive operational efficiency

## Why Work Here
- **Culture**: "We dream big, lead with purpose" – values include "We thrive when the customers thrive", "We put the hive first", "We deal in data not hype", "We are drawn to growth", "We buzz with passion" ([builtin.com/company/bees](https://builtin.com/company/bees))
- **Work location**: Onsite-first – physical offices in Zug (Switzerland), New York (USA), São Paulo, Campinas (Brazil), and Hong Kong (China)
- **Perks & benefits**: Health insurance, dental, family medical leave, generous parental leave, performance bonuses, employee discounts, tuition assistance, apprenticeship programs, legal assistance
- **Diversity, Equity & Inclusion**: Offers diversity-based Employee Resource Groups
- **Engineering culture**: 137 technical staff (16% of total 468) across roles in product, analytics, engineering, and data science ([linkedin.com/company/beesb2b](https://www.linkedin.com/company/beesb2b))
- **Company rating**: 3.3/5 on LinkedIn (641 reviews) – Work-Life 3.2, Compensation 3.5, Culture 3.1, Career 3.2

## Sources
1. [bees.com – Careers](https://www.bees.com/careers)
2. [bees.com – About](https://www.bees.com/about?noredirect=1)
3. [bees.com – Home](https://www.bees.com/)
4. [linkedin.com/company/beesb2b](https://www.linkedin.com/company/beesb2b)
5. [builtin.com/company/bees](https://builtin.com/company/bees)

## Other roles at BEES

- [Senior Product Designer, Design Systems](https://feeny.ai/job/senior-product-designer-design-systems-bees-campinas-sao-paulo-ndqw65gmfyyf) — Campinas São Paulo, Brazil
- [Global Business Analyst Sales Insights](https://feeny.ai/job/global-business-analyst-sales-insights-bees-sao-paulo-pmcsh3sqq1wa) — São Paulo, Brazil
- [Intermediate Java Developer](https://feeny.ai/job/intermediate-java-developer-bees-campinas-sao-paulo-mtsfvyw2bwnd) — Campinas São Paulo, Brazil
- [Lead Data Engineer](https://feeny.ai/job/lead-data-engineer-bees-campinas-sao-paulo-9pa8p6drjapx) — Campinas São Paulo, Brazil
- [AI Engineer](https://feeny.ai/job/ai-engineer-bees-campinas-sao-paulo-xhjam9p6a5yk) — Campinas São Paulo, Brazil
- [Staff Full-Stack Engineer - Data Intensive Web-Applications - Personalization](https://feeny.ai/job/staff-full-stack-engineer-data-intensive-web-applications-personalization-bees-4t9vk5ap66pp) — Campinas São Paulo, Brazil
- [Staff Software Architect - Data Intensive Web-Applications - Personalization](https://feeny.ai/job/staff-software-architect-data-intensive-web-applications-personalization-bees-1nerhzz7g2fz) — Campinas São Paulo, Brazil
- [Intermediate Quality Assurance (QA)](https://feeny.ai/job/intermediate-quality-assurance-qa-bees-campinas-sao-paulo-8fgdsc4aqfsw) — Campinas São Paulo, Brazil
- [Senior Manager Developer](https://feeny.ai/job/senior-manager-developer-bees-campinas-sao-paulo-vsejwk5hr2ta) — Campinas São Paulo, Brazil
- [Senior Data Scientist - Generative AI](https://feeny.ai/job/senior-data-scientist-generative-ai-bees-campinas-sao-paulo-s7fmwyhtwep9) — Campinas São Paulo, Brazil