DS/BI Lead — Advanced Analytics & Insight Delivery

HEINEKEN Beverages; Johannesburg; On-site; ZAR 1,200,000 - 1,900,000; Full time

Job summary

HEINEKEN Beverages seeks a DS/BI Lead to guide analytics capabilities within the Smart Brewery ecosystem. You will lead BI Developers and Data Scientists, shaping standards and delivering scalable dashboards and advanced models across the global business.

Collaborate with Product Leads, Analysts, and Data Engineers to translate business challenges into data solutions, drive Agile delivery, and realize measurable value through data-driven decision making.

Qualifications

• 5+ years of experience in DA/BI Development or Data Science.
• Experience leading or mentoring DA/BI developers/scientists.
• Proficiency in Power BI and Grafana for KPI dashboards.
• Strong SQL and analytical data modelling skills.
• Experience with Python or R and advanced analytics techniques.
• Global, cross-cultural work experience.
• Fluent English (written & spoken).

Responsibilities

• Lead DA/BI Development and Data Science capabilities at scale.
• Define standards for data modelling, dashboards, and analytics.
• Guide Agile practices and contribute to sprint ceremonies.
• Collaborate with Product Leads, Analysts, and Data Engineers.
• Translate business needs into data models and KPIs.

Skills

DA/BI Development

Data Science

Leadership / Mentoring

Power BI / Grafana

SQL

Analytical modelling

Python / R

Analytics lifecycle

Cross-cultural teamwork

English fluency

Education

Bachelor's or Master's in Data Science/Analytics/Engineering/CS

Tools

Power BI

Grafana

SQL

Python

R

Job description

HEINEKEN Beverages seeks a DS/BI Lead to guide analytics capabilities within the Smart Brewery ecosystem. You will lead BI Developers and Data Scientists, shaping standards and delivering scalable dashboards and advanced models across the global business.

Collaborate with Product Leads, Analysts, and Data Engineers to translate business challenges into data solutions, drive Agile delivery, and realize measurable value through data-driven decision making.