Data Analayst at The South African Breweries (SAB)

Job Purpose:

The role of the Data Insights Analyst is to bring technical expertise to ensure the quality and accuracy of data, then process, generate insights, design and present it in ways to help colleagues within Draftline and AB InBev to make better decisions.

The Data Analyst will lead marketing data and analytics deliverables for Brand teams and other internal business functions.

Roles and Responsibilities

• Work with the data engineers, scientists and insights team to provide high quality analytics, business-focused insights and automated reporting
• Provide insights and analytics to enable digital optimisation techniques for campaigns and on-going data support
• Help support and drive the future state data vision and efficiencies in digital execution
• Support digital strategy to grow the volume of consumers that can be identified and profiled within digital channels and assist to share this data across channels for omni-channel success.
• Continually improve our digital data strategy to support our business KPIs and to facilitate a deeper understanding of digital asset performance
• Follow industry and emerging best practices in shaping the marketing analytics capability including a focus on data organisation, data quality, documentation, and ongoing process improvement
• Performing ROI analysis to evaluate efficiency and effectiveness of different marketing campaigns/channels
• Provide analytical and decision support on new initiatives
• Partner with insights team on qualitative and quantitative market research projects

Qualifications/ Experience

• Matric
• Higher Certificate/Diploma or relevant tertiary qualifications / certifications
• 2+ years  data and analysis / media experience / market research – key being the ability to clean, interpret and visualize data for storytelling
• Experience using Reporting Tools (Power BI / Datorama / Looker Studio / Tableau / Emplifi)
• Strong quantitative and analysis skills
• Advanced MS Excel skills
• Coding skills advantageous (SQL, python, R, etc)
• Statistical knowledge advantageous

Personality

• Critical thinker, attention to detail, self-motivated, imaginative, methodical, good communicator, eager to learn, data curiosity

Additional Information:

• Band VIII