---
title: 'Intermediate Data Ops Analyst at BEES'
canonical: 'https://feeny.ai/job/intermediate-data-ops-analyst-bees-campinas-sao-paulo-veafayytb5y5'
type: 'job'
last_seen: '2026-11-07'
---

# Intermediate Data Ops Analyst at BEES

- **Company:** BEES
- **Location:** Campinas São Paulo, Brazil
- **Posted:** 2026-11-05
- **Last confirmed live:** 2026-11-07
- **Apply:** https://job-boards.greenhouse.io/bees/jobs/8932317002

## 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

Join us to build the future of B2B commerce!

BEES is AB InBev’s B2B platform. Through our ecosystem, merchants and retailers across 29 countries can stock their businesses quickly, easily, and securely. At BEES, we dream big, lead with purpose, and develop technology that transforms the way retailers and sellers grow.

Every line of code and every partnership is built in service of a single mission: to make commerce better for retailers and sellers around the world. Here, your work is not just important. It makes a difference!

What you will do:

Incident Management & Triage

- Perform triage, initial diagnosis, and impact analysis of data incidents, classifying them byseverity, urgency, and business impact.
- Conduct multi-level data analysis: 1st level (data consistency and data quality checklists) and2nd level (data issue sourcing for onboarded data products).
- Identify the type and location of the issue (data production, processing, or consumption) byvalidating the full workflow/pipeline.
- Respond to bug reports in compliance with SLAs (deadlines, severity, escalation paths,notifications).
- Participate in War Rooms and crisis responses (Sev1/Sev2) as L2 support.

Data Analysis & Troubleshooting

- Perform troubleshooting using SQL, PySpark/Scala (Databricks), and NoSQL (MongoDB).
- Execute complex ad-hoc data extractions for audits, one-off analyses, and incidentinvestigations.
- Validate data flows end-to-end — from source systems (CosmosDB) through processinglayers (Bronze/Silver/Gold) to consumption (dashboards, APIs, data sharing).
- Execute configuration updates: pipeline parameters, reference tables, and business rulesadjustments.
- Perform technical interventions in production SQL and NoSQL databases to correctapplication states when required.

Root Cause Analysis & Continuous Improvement

- Develop action plans based on root cause analysis (RCA), connecting cross-teaminvestigative processes.
- Identify patterns in recurring issues and propose improvements/optimizations to engineeringand product teams. Contribute to proactive incident detection by monitoring instrumented alerts (job healthchecks, data consistency alerts).
- Identify, communicate, and manage operational risks before they escalate.

Communication & Stakeholder Management

- Proactively communicate the status of each open ticket to impacted stakeholders.
- Facilitate communication between Operational and Analytical teams, bridging DataEngineering, Data Analytics, and Product/Application teams.
- Engage technical specialists and escalate to Incident Specialist when applicable.
- Follow up with project teams to ensure resolution deadlines and customer satisfaction.
- Connect with Data Product Managers (DPMs) to stay updated on KPIs, reports catalog, anddata entity catalog per domain.

Knowledge Management & Documentation

- Create, maintain, and continuously improve a structured knowledge base (runbooks,troubleshooting guides, resolution records).
- Document evidence, resolution steps, and root causes for every incident.
- Contribute to data flow diagrams and operational documentation using collaborative tools(Lucidchart, Confluence).
- Maintain understanding of product data flows and platform architecture to support effectivediagnosis.

Service Requests & Operational Execution

- Execute planned data operations and standard service requests (data extractions,configuration updates).
- Define and refine data-related SLAs in alignment with stakeholders (flows, severities, MTR).
- Provide follow-up on metrics related to ticket resolution, SLA compliance, and product impact.

## What you'll need

- Bachelor's degree in Computer Science, Data Science, Information Technology, Engineering,or related field.
- Proven experience in Data Operations, Data Analysis, Support Engineering, or similar hybridrole.
- Strong SQL skills (Snowflake preferred) and ability to query and analyze large datasets.
- Experience with PySpark or Scala in Databricks environments.
- Familiarity with NoSQL databases (MongoDB, Cosmos DB).
- Understanding of data pipeline concepts and architectures (ETL/ELT, Data Lake layers —Bronze/Silver/Gold).
- Experience with data quality dimensions (accuracy, completeness, validity, consistency,timeliness, uniqueness).
- Familiarity with Git and git-flow practices.
- Intermediate knowledge of analytics infrastructure (Databricks/Unity Catalog, DataFactory,Power BI, Azure Storage/DataLake).
- Experience with incident management processes (ITIL-aligned) and SLA-drivenenvironments.
- Ability to read and interpret data flow diagrams, API contracts/Swagger, and systemarchitectures.
- Advanced English (written and verbal).

## Nice to have

- Knowledge of DBT (SQL + Jinja).
- Basic understanding of DevOps Engineering (Azure Pipelines, Terraform).
- Experience with telemetry/observability tools (Segment, Mixpanel, OpsGenie).
- Familiarity with Azure Cost Analysis. Experience with data governance tools (Atlan, Unity Catalog).
- Knowledge of data sharing protocols (Azure Delta Sharing, Standard Data Offerings).

More about you

- Strong analytical and problem-solving mindset — you thrive on investigating root causes andconnecting dots across systems.
- Excellent communication skills — you can translate technical findings into clear updates forstakeholders at all levels.
- Proactive and responsive — you don't wait for problems to escalate; you anticipate and act.
- Organized and process-oriented — you value documentation, knowledge reuse, andoperational consistency.
- Collaborative — you bridge teams naturally (Engineering, Product, Analytics) and buildproductive working relationships.
- Comfortable working under pressure, managing multiple incidents, and prioritizing effectively.
- High level of self-motivation, curiosity, and desire to continuously learn and improveoperational maturity.
- Ability to work in a global, multi-country support context..

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
- Gympass partnership
- Childcare subsidies
- Discounts on Ambev products*
- Clube Ben partnership
- Scholarship*
- School materials assurance
- Language and training platforms
- Transport allowance

*Rules applied

## 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)

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