Coca-Cola Beverages South Africa IT / Telecom Jobs in Midrand
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Coca Cola Beverages South Africa has an exciting opportunity in the Sales & Marketing Department. We are looking for seasoned individual with necessary skills & experience for a Data Analyst role.
Key Duties & Responsibilities
Key Outputs
- Development and Execution of End-to-End Analytics Processes: Deliver a comprehensive suite of analytics solutions by transforming raw data into strategic insights that drive operational and commercial success. This includes building and deploying predictive models, performance dashboards, and automated reporting frameworks.
- Integration of Data from Multiple Sources: Collaborate with IT and Business Intelligence (BI) teams to seamlessly integrate and harmonize data from systems such as MSD365 into Azure Synapse.
- Driving Commercial Insights & Decision Support: Translate complex business challenges into actionable analytical projects that inform strategic decisions on revenue growth, cost optimization, and market expansion. Design and standardize interactive dashboards and reports that facilitate data-driven action across the organization.
- Implementation of Advanced Analytics & AI Capabilities: Spearhead the adoption and integration of cutting-edge technologies such as machine learning and generative AI into the organization’s analytics strategy. Leverage tools like Azure ML to enhance predictive capabilities, uncover new insights, and improve decision-making processes across commercial and operational teams.
- Stakeholder Engagement & Collaboration: Act as the primary liaison between technical teams (e.g., IT, data engineers) and commercial stakeholders, ensuring alignment between analytical solutions and business objectives.
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- Optimization of Analytical Tools and Reporting Systems: Continuously refine and optimize business intelligence tools such as Power BI to enhance reporting systems and improve the efficiency of analytical workflows. Work to automate and streamline processes, reducing manual intervention and minimizing errors.
- Business Performance Monitoring and Continuous Improvement Develop and monitor key performance indicators (KPIs) that align with business goals, ensuring that insights are actionable and lead to measurable improvements in business performance.
- Mentorship and Knowledge Sharing: Serve as a mentor to junior team members and stakeholders, sharing expertise in data analytics, machine learning, and business intelligence tools.
Functional Capabilities
- Analytics Process Development
- Data Integration & Engineering
- Commercial Insights & Decision Support
- Advanced Analytics & AI Integration
- Stakeholder Engagement & Communication
- Data Visualization & Reporting
- Cross-Functional Collaboration
- Business Impact Translation
Skills, Experience & Education
Education
- Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
Experience
- 5+ years of research and/or analytical experience within an FMCG environment
- Certifications or demonstrable experience in advanced analytics platforms (e.g., Azure ML, Power BI, Advanced Analytics) are an asset.
- Significant exposure to a commercial decision-making environment.
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Skills
- Advanced Data Science Techniques: Proficiency in statistical modeling, machine learning, and data visualization to derive insights from raw data and support decision-making.
- Data Engineering & Platform Expertise: Hands-on experience with data platforms, especially Azure Synapse, and proficiency with BI tools like Power BI for developing dashboards and reporting.
- End-to-End Analytics Solution Development: Ability to develop complete analytics processes, from data extraction and transformation (ETL) to model development and deployment.
- Business Acumen & Commercial Insights: Strong understanding of consumer-packaged goods (CPG) dynamics and the ability to relate complex data findings to real-world business impacts, such as revenue growth, cost optimization, and market expansion.
- Stakeholder Communication & Engagement: Ability to translate complex technical data into clear, actionable insights for non-technical stakeholders and provide support for strategic decisions.
- Collaboration & Cross-Functional Teamwork: Excellent collaboration skills with experience working in cross-functional teams, building strong relationships, and influencing decisions at senior levels.
- Advanced Analytics & Innovation: Knowledge of emerging technologies like Azure ML and generative AI for incorporating AI and machine learning into business strategies.
- Data Integration & Quality Management: Ability to work with IT and BI teams to ensure smooth integration of data from various systems (e.g., MSD365) and maintain high-quality, consistent data through scalable data pipelines.
KBI
- Revenue Growth & Cost Optimization
- Model Accuracy & Predictive Performance
- Analytics Process Efficiency
- Data Quality & Consistency
- Commercial Decision Support Impact
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