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Data Analytics Manager

AB InBev Growth Group

Campinas

Presencial

BRL 80.000 - 150.000

Tempo integral

Há 30+ dias

Melhora as tuas possibilidades de ir a entrevistas

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Resumo da oferta

Uma empresa inovadora está em busca de um Gerente de Análise de Dados para liderar uma equipe dinâmica e impulsionar a estratégia de negócios por meio de insights baseados em dados. Nesta função, você será responsável por desenvolver soluções digitais que simplificam a vida dos clientes e aumentam a rentabilidade. Você terá a oportunidade de trabalhar com tecnologias de ponta e colaborar com equipes multifuncionais para criar uma estratégia orientada por dados. Se você é apaixonado por análise de dados e busca um ambiente colaborativo, esta é a oportunidade ideal para você.

Serviços

Bônus baseado em desempenho
Bônus de presença
Código de vestimenta casual
Seguro saúde, dental e de vida
Descontos em medicamentos
Parceria com Wellhub
Descontos em produtos Ambev
Parceria com Ben Club
Garantia de materiais escolares
Plataformas de idiomas e treinamento

Qualificações

  • Experiência em gestão técnica de equipes de analistas de dados.
  • Habilidade em análise avançada de dados e modelagem estatística.

Responsabilidades

  • Gerenciar e liderar uma equipe de analistas de dados de alto desempenho.
  • Desenvolver visualizações de dados usando Power BI para impulsionar decisões.

Conhecimentos

Análise de Dados
Liderança de Equipe
Modelagem Estatística
Python
SQL
Comunicação Eficaz
Pensamento Conceitual
Resolução de Problemas

Formação académica

Graduação em Sistemas de Informação
Graduação em Ciência de Dados e Análise

Ferramentas

Power BI
Snowflake
Databricks
Redshift
BigQuery
Teradata

Descrição da oferta de emprego

Data Analytics Manager | BEES Personalization

Technical Information:

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. 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*
  • Casual dress code and office Days off*
  • Health, dental, and life insurance
  • Discounts on medication
  • Wellhub partnership
  • Discounts on Ambev products*
  • Ben Club partnership
  • Guarantee of school supplies Language and training platforms

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.

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