Data Analytics Manager | BEES Personalization

Posted 17 Days Ago
Be an Early Applicant
Campinas, São Paulo
Senior level
Food
The Role
The Data Analytics Manager will lead a team of data analysts, driving data-driven strategies and delivering insights through advanced data analysis and statistical modeling. Responsibilities include mentoring the team, collaborating with product and engineering teams, developing data products, visualizations using Power BI, and communicating insights to stakeholders.
Summary Generated by Built In

Technical Information:

Department: Data
Level: Chapter Lead
Contract Model: CLT + benefits
Workplace: Hybrid (Three times a week in Campinas or São Paulo)

About AB InBev:

AB InBev is the global beer leader and one of the top 5 consumer products companies in the world. With over 500 beer brands, they are number one or two in many of the world's major beer markets, including North America, Latin America, Europe, Asia, and Africa.

About Bees: We are part of the ABInBev ecosystem, the world's largest brewery, and we work to help our customers using a variety of BEES Applications. As a technological cell of our organization, we have a simple goal: to grow. To grow as people, as professionals, as a company. To achieve this, we use technology to create digital solutions that simplify our customers' lives, make their decisions smarter, and their businesses more profitable.

Responsibilities:

  • Manage and lead a high-performance team of data analysts, being a technical reference, providing guidance, mentoring, and support for the analysis team.
  • Manage a team of approximately 5 to 10 resources, depending on project allocation.
  • Review to verify that best practices have been followed for high-quality products, recommend appropriate data sources, models, and methods that may apply to a specific use case, ensuring scalability and high reuse.
  • Work with product leaders, engineering, and commercial strategy to form a unified data-driven strategy.
  • Support the prioritization exercise in analysis requests for your team alongside stakeholders and DPMs (data product managers), based on business impact, level of effort, etc.
  • Actively balance team leadership efforts with practical development/coding of data products, metrics, and visualizations to drive business.
  • Drive the business strategy by providing insights into current performance and highlighting areas of opportunity for growth. To do this, conduct advanced data analysis, statistical modeling, and machine learning models to answer specific business questions, extract insights and predictive patterns from large datasets to explain and expose potential opportunities from the data.
  • Develop data sets/schemas consuming data from multiple sources such as internal databases, analysis tools, unstructured sources, and other external sources.
  • Produce effective data narratives to drive action on these opportunities by designing and developing data visualizations using PowerBI.
  • Ensure the use of appropriate analytical methods to solve complex business problems.
  • Demonstrate a solid understanding of complex data models, data structures, and best practices for data governance to support the data platform team in definitions and executions following best practices appropriate to use cases.
  • Effectively communicate complex technical concepts and analytical insights to non-technical stakeholders and senior leadership.

Requirements and qualifications:

  • Degree in Information Systems, Data Science and Analytics, or related course.
  • Prior experience in technical management of Data Analyst teams. Extensive experience in data analysis, data science.
  • Advanced English is mandatory - will work with a global team. Other languages will be considered a differential.
  • Prior experience in cloud solutions such as Snowflake, Databricks, Redshift, BigQuery, or Teradata.
  • Expertise in database query and reporting tools (SQL + Power BI + DAX). Tableau & Mode will be considered a differential.
  • Effective skills in programming languages (Python, PySpark, SQL).
  • Experience in using SQL/NOSQL databases. "R" is considered a differential.
  • Strong skills in analysis, problem-solving, conceptual thinking, and a solid background in statistical analysis focused on data-driven solutions.
  • Experience in gathering complex business requirements and identifying data needs.
  • Experience in analyzing data to identify key insights, gaps, and inconsistencies.
  • Familiarity with the Systems Development Life Cycle and Agile Methodology.
  • Experience in leveraging transactional and digital behavioral data to understand business impacts and user behavior as input for ROI.

Soft Skills:

  • Promote collaboration and a productive work environment by sharing knowledge and experience with direct subordinates.
  • Excellent leadership, team management, and communication skills.
  • Ability to effectively collaborate with multifunctional teams and present complex ideas to non-technical audiences.
  • Proven ability to seek unconventional solutions, explore opportunities, and develop innovative solutions.

Benefits:

  • Performance-based bonus* 
  • Attendance bonus*
  • Private pension plan
  • Meal allowance
  • Casual dress code and office Days off*
  • Health, dental, and life insurance
  • Discounts on medication
  • Wellhub partnership
  • Childcare assistance
  • Discounts on Ambev products*
  • Ben Club partnership
  • Scholarship*
  • Guarantee of school supplies Language and training platforms
  • Transportation allowance

Equal Opportunity and Affirmative Action

BEES 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 legally applicable characteristics. The following fields are optional, but we anticipate the information for your registration*. Remember: your data will never be used as a selection criterion in selection processes. With them, BEES is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company. For more information: 

www.bees.com



Top Skills

SQL
The Company
New York, NY
79,000 Employees
On-site Workplace

What We Do

We are the world’s leading brewer bringing people together for a better world. For centuries, the experience of sharing a beer has brought people and cultures together. Even in our hyper-connected, always-on world, this simple act is as meaningful today as it was generations ago.

We are AB InBev. Committed to driving growth that leads to better living for more people in more places. Through brands and experiences that bring people together. Through our dedication to brewing the best beer with the best ingredients. And through our commitment to helping farmers, retailers, entrepreneurs, and communities grow.

We are building a company to last. Not just for a decade. But for the next 100 years. Through our brands and our investment in communities, we will bring more people together, making our company an integral part of our consumers’ lives for generations to come.

Our diverse portfolio of well over 500 beer brands includes global brands Budweiser, Corona and Stella Artois; multi-country brands Beck’s, Castle, Castle Light, Leffe and Hoegaarden; and local champions such as Aguila, Antarctica, Bud Light, Brahma, Cass, Chernigivske, Cristal, Harbin, Jupiler, Klinskoye, Michelob Ultra, Modelo Especial, Quilmes, Victoria, Sedrin, Sibirskaya Korona, and Skol.

Anheuser-Busch InBev is a publicly traded company (Euronext: ABI) based in Leuven, Belgium, with secondary listings on the Mexico (MEXBOL: ANB) and South Africa (JSE: ANH) stock exchanges and with American Depositary Receipts on the New York Stock Exchange (NYSE: BUD).

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