- Страна
- США
Откликайтесь
на вакансии с ИИ
Chapter Lead Data Analytics | Personalization
Оценка ИИОтличная позиция в топовой международной компании с сильной инженерной культурой и широким соцпакетом. Роль предлагает реальное влияние на глобальный бизнес и работу с современным стеком технологий, хотя и требует присутствия в офисе.
Сложность вакансии
Оценка ИИРоль требует сочетания управленческих навыков (команда из 8-10 человек) и глубокой технической экспертизы в Data Engineering и ML. Высокая планка обусловлена необходимостью работы с глобальными стейкхолдерами на английском языке и сложным стеком технологий (Databricks, PySpark, CI/CD).
Анализ зарплаты
Оценка ИИУказанная роль Chapter Lead в Бразилии (Сан-Паулу) в крупной международной компании обычно оплачивается выше среднего по рынку. Ожидаемый доход включает значительную бонусную часть, характерную для FMCG-гигантов.
Сопроводительное письмо
I am writing to express my strong interest in the Chapter Lead Data Analytics position within the Personalization team at AB InBev. With a solid background in managing high-performance data teams and a deep technical expertise in SQL, Python, and cloud data solutions like Databricks, I am confident in my ability to drive the data-driven strategy for your Growth Group. My experience in balancing technical leadership with hands-on development aligns perfectly with your requirement for a leader who can both mentor a team and contribute to the coding of complex data products.
Throughout my career, I have successfully bridged the gap between technical complexity and business strategy, a skill I look forward to bringing to AB InBev. I am particularly drawn to this role because of the opportunity to work with global brands like Corona and Budweiser, and to contribute to the evolution of digital products like BEES and Ze Delivery. My proficiency in designing CI/CD pipelines and implementing data governance best practices will ensure that your data platform remains scalable and high-quality.
I am excited about the prospect of joining a company that values innovation and diversity as much as AB InBev does. Thank you for considering my application. I look forward to the possibility of discussing how my leadership and technical skills can support the Growth Group’s ambitious goals.
Составьте идеальное письмо к вакансии с ИИ-агентом
Откликнитесь в abinbev уже сейчас
Присоединяйтесь к глобальному лидеру AB InBev и возглавьте трансформацию данных в сфере персонализации!
Описание вакансии
This is a on-site position, based in São Paulo (SP) OR Campinas (SP).
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 AB InBev Growth Group
Created in 2022, the Growth Group unifies our business-to-business (B2B), direct-to-consumer (DTC), Sales & Distribution, and Marketing teams. By bringing together global tech and commercial functions, the Growth Group allows us to fully leverage data and drive digital transformation and organic growth for AB InBev around the world.
In addition to supporting well known global beer brands like Corona, Budweiser and Michelob Ultra, the Growth Group is home to a robust suite of digital products including our B2B digital commerce platform BEES, on-demand delivery services Ze Delivery and TaDa Delivery, and table top beer keg PerfectDraft.
What you'll do:
Management routine
- Manage and lead a high-performance team of Data Analysts and Analytics Engineers (8 to 10 resources).
- Work with product leaders, engineering, and commercial strategy to form a unified data-driven strategy.
- Support analysis request prioritization with stakeholders and Data Product Managers (DPMs).
- Actively balance team leadership efforts with practical development/coding of data products, metrics, and visualizations to drive business.
Technical routine
- Review to verify that best practices have been followed for high-quality products, recommend appropriate data sources and models, ensuring scalability and high reuse.
- 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.
- 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.
What you'll need:
- Bachelor’s degree completed in Information Systems, Data Science and Analytics, Mathematics, Statistics, Computer Engineering, or other data-related fields, with a strong foundation in Statistics.
- Prior experience in technical management of Data Analyst or Analytics Engineering teams.
- Advanced English is mandatory - will work with a global team.
- Experience with B2B portfolio management would be a big plus.
- Expertise in database query and reporting tools (SQL + Power BI + DAX).
- Effective skills in programming languages (Python, PySpark, SQL).
- Strong experience designing and maintaining CI/CD pipelines, using Git for code versioning, and actively participating in code review practices.
- Strong experience with relational (SQL) and non-relational (NoSQL) database technologies.
- Prior experience in cloud data solutions (e.g., Databricks, Redshift, BigQuery, Teradata, Snowflake) and cloud platforms such as AWS and Azure.
- Experience in analyzing data to identify key insights, gaps, and inconsistencies.
- Familiarity with the Systems Development Life Cycle and Agile Methodology.
Soft Skills:
- Effectively communicate complex technical concepts and analytical insights to non-technical stakeholders and senior leadership.
- Promote collaboration and a productive work environment by sharing knowledge and experience with direct subordinates.
- Proven ability to seek unconventional solutions, explore opportunities, and develop innovative solutions.
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 upon of 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 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.abinbev.com
Создайте идеальное резюме с помощью ИИ-агента
Навыки
- Git
- Agile
- AWS
- Azure
- Python
- Machine Learning
- SQL
- Statistics
- CI/CD
- PySpark
- Databricks
- Power BI
- NoSQL
- DAX
Возможные вопросы на собеседовании
Проверка опыта управления и развития талантов в технической среде.
Как вы подходите к балансу между выполнением операционных задач бизнеса и профессиональным развитием членов вашей команды (Data Analysts и Analytics Engineers)?
Оценка способности кандидата переводить бизнес-проблемы в технические решения.
Опишите случай, когда вам пришлось объяснять сложную аналитическую модель нетехническим стейкхолдерам. Как вы убедили их в правильности выводов?
Проверка технического видения и понимания архитектуры данных.
Какие критерии вы используете при выборе между различными облачными решениями (например, Databricks vs Snowflake) для конкретного бизнес-кейса?
Оценка опыта внедрения инженерных практик в аналитику.
Как вы организуете процесс Code Review и CI/CD в команде аналитики для обеспечения качества и масштабируемости кода?
Проверка навыков приоритизации в условиях высокой нагрузки.
Как вы взаимодействуете с Data Product Managers для приоритизации запросов на анализ, когда ресурсы команды ограничены?
Похожие вакансии
Head of Ecosystem Analytics
Data аналитик Senior
Продуктовый аналитик (middle)
Аналитик данных
Data аналитик (Senior)
Аналитик данных (Data Analyst)
1000+ офферов получено
Устали искать работу? Мы найдём её за вас
Quick Offer улучшит ваше резюме, подберёт лучшие вакансии и откликнется за вас. Результат — в 3 раза больше приглашений на собеседования и никакой рутины!
- Страна
- США