Advance Analytics Specialist

SAB; Sandton; Sur place; ZAR 900 000 - 1 500 000; Plein temps

Résumé du poste

SAB in Sandton seeks a data science professional to develop predictive analytics, ML use cases, and production-ready analytical solutions for local commercial priorities.

You will build interactive HTML visualisations and automation tools, translate commercial problems into technical requirements, and own the solution lifecycle from development to deployment and monitoring. Collaboration with data science and commercial stakeholders is essential.

Qualifications

• Bachelor's degree in a relevant field (data science, CS, engineering, IT).
• 2+ years in advanced analytics, data science or software development.
• Strong Python and SQL with knowledge of PySpark and Databricks.
• Experience building analytical apps and HTML visualisations.
• Ability to translate technical concepts into business language.

Responsabilités

• Develop predictive analytics, ML use cases and statistical solutions.
• Build analytical apps, automation tools and HTML visualisations.
• Translate commercial problems into technical requirements and prototypes.
• Explore large datasets to find patterns and opportunities.
• Own full solution lifecycle: build, deploy, monitor, maintain, enhance.
• Write reusable, well-documented code and standards.
• Collaborate with Data Scientist, Commercial stakeholders and Data Tech teams.
• Support user adoption and troubleshoot production issues

Connaissances

Python

SQL

Machine Learning

Data Analysis

Formation

Bachelor's degree in Data Science, Computer Science, Mathematics, Engineering, Information Technology or related field

Outils

PySpark

Databricks

Power Apps

Streamlit

Web application frameworks

Description du poste

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?

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. The South African Breweries (SAB) has reimagined what a beer company can be and has anchored this in a powerful brand purpose – We Dream Big to Create a Future With More Cheers – which articulates who we are and where we are going. At SAB it’s always about more than the beer. We are driven by our passion to demonstrate the unique power of beer to propel South Africa forward. Since our inception over a century ago, SAB has grown to become South Africa's largest brewer, a powerful economic contributor, a leader in sustainability, and a champion of responsible consumption. SAB is one of South Africa’s admired companies and corporate brands. The company has 7 breweries and 42 depots in South Africa, a total workforce of approximately 5000, and supports a beer economy ‘from seed to sip’ of over 250 000 jobs. Its portfolio of beer brands meets the needs of a wide range of consumers and includes leading brands in beer and beyond such as Castle Lager, Carling Black Label, Corona, Brutal Fruit, and Flying Fish