Search the 8 jobs at Anheuser-Busch InBev

The Data Product Manager will develop and own the Data Tracking product strategy, collaborating with stakeholders to align a product roadmap with business priorities. Key responsibilities include utilizing data for decision-making, designing data flows, leading technical discussions, generating insights, and improving data processes to enhance efficiency.

The Commercial and Process Management Specialist will implement and oversee the BEES Transformation Strategy for field sales teams, optimizing sales strategies, processes, and customer service. This role involves data analysis, team leadership, and collaboration across departments to enhance performance and meet sales goals.

Global Specialist, Performance & Commercial Insights role at AB InBev focusing on analyzing and generating insights for countries in their digitalization journey within the BEES Expansion team. Responsibilities include conducting analysis of key performance metrics, assessing commercial measurement frameworks, and presenting data findings to stakeholders. Requires 4+ years of experience in management consulting, strategy, or performance roles, strong English language skills, commercial acumen, and attention to detail.

Tech Manager at AB InBev Growth Group focusing on global product development and maintenance. Responsible for advocating user experience, implementing best development practices, and providing quality strategy. Requires university degree in computing, experience with Node.js, RESTful services, micro-services, and software testing concepts. Advanced communication skills in English and experience with Agile projects.

Lead efforts in developing and maintaining data services and solutions to support products and platforms at AB InBev's Growth Group. Design efficient data models, improve architecture and processes, develop data ingestion and processing processes, and contribute to creating new data products to meet strategic needs.

As a Senior Data Scientist at BEES, you will develop and implement machine learning and deep learning algorithms to solve complex business problems, utilizing cloud platforms for data processing, and collaborating with cross-functional teams to deliver high-quality solutions.

Develop solutions for challenging business problems in areas such as portfolio optimization, recommendations, personalization, promos, segmentation, imputation, and insights discovery using Python, PySpark, and cloud platforms. Collaborate with cross-functional teams to analyze complex datasets and implement cutting-edge machine learning algorithms. Stay up to date with the latest advancements in ML and DL algorithms. Bachelor's degree in a quantitative field required.

Seeking an experienced data analyst to support consumer behavior tracking project with Ze Delivery, a division of ABI Growth Group. Responsibilities include implementing tracking tools, data quality controls, and creating reports and visualizations.