Advance Analytics Specialist

Dreaming big is in our DNA. It’s who we are as a company. It’s our culture. It’s our heritage. And more than ever, it’s our future. A future where we’re always looking forward. Always serving up new ways to meet life’s moments. A future where we keep dreaming bigger. We look for people with passion, talent, and curiosity, and provide them with the teammates, resources and opportunities to unleash their full potential. The power we create together – when we combine your strengths with ours – is unstoppable. Are you ready to join a team that dreams as big as you do? The key purpose of this role is to design, build, deploy and maintain advanced analytical solutions, applications and visualisations that turn large and complex datasets into practical business intelligence. Working alongside the local Data Scientist, the role enables faster, scalable and more intuitive commercial decision-making.

Key Roles and Responsibilities: Advanced Analytics & Solution Development

• Develop predictive analytics, machine learning use cases and statistical solutions for local commercial priorities.
• Build fit-for-purpose analytical applications, automation tools and interactive HTML visualisations.
• Translate commercial problems into technical requirements, prototypes and production-ready solutions.
• Explore large datasets to identify patterns, drivers and opportunities that can be converted into business actions.

Deployment, Maintenance & Collaboration

• Own the full solution lifecycle across build, deployment, monitoring, maintenance and enhancement.
• Write reusable, well-documented and quality-controlled code using appropriate development standards.
• Collaborate closely with the local Data Scientist, Commercial stakeholders and Data Technology teams.
• Support user adoption, troubleshoot production issues and improve solutions using user feedback and performance evidence.

Key Attributes and Competencies:

• Experience with Power Apps, Streamlit, web application frameworks or comparable app development tools.
• Experience deploying and maintaining analytical products in a production environment.
• Knowledge of GenAI applications, APIs, automation and cloud-based analytical services.
• Commercial or route-to-market experience in FMCG or a similarly data-rich environment.

Minimum Requirements:

• Bachelor’s degree in Data Science, Computer Science, Mathematics, Engineering, Information Technology or a related field.
• Minimum 2 years’ relevant experience in advanced analytics, data science, software or application development.
• Strong coding capability in Python and SQL, with working knowledge of PySpark and Databricks.
• Experience developing analytical applications and interactive HTML-based visualisations.
• Sound understanding of machine learning, statistics, testing, version control and software development practices.
• Ability to translate technical concepts into clear business language and usable commercial solutions.

Additional Information:

• Band: VII

SAB/AB InBev is an equal opportunity employer, and all appointments will be made in line with the SAB/AB InBev employment equity plan and talent requirements.