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Sales Intelligence Analyst

Location: Johannesburg, De Affrica
Function: Commerce
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PURPOSE OF POSITION


The Sales Intelligence Analyst plays a key role in delivering actionable insights that drive sales growth, enhance customer engagement, and optimise commercialstrategies. This role provides analytical support across functional teams by interrogating large data sets, generating meaningful insights, and presenting these inclear, visual formats that enable informed decision‑making.
The analyst collates data from multiple sources to build and maintain dashboards, identify performance gaps, and translate insights into practical actions for teamsacross the OpCo. Their work underpins strategic, commercial, and operational planning, while also supporting capability building by helping stakeholders understandand use self‑service analytical tools.
In addition, the Sales Intelligence Analyst supports the development of predictive models, introduces new reporting approaches, and ensures simplified,future‑focused insight delivery across Sales and Marketing functions.

 

KEY RESULT AREAS

 

  • Maintain and enhance existing dashboards and data models, while developing new reporting and analytics solutions aligned to business needs. Introduce newreporting approaches and ensure insight delivery is consistent across the organisation.
  • Analyse large and complex data sets to identify trends, patterns, and growth opportunities, proactively generating insights and actionable recommendations forcross‑functional stakeholders. Incorporate predictive analytics and future‑focused modelling to support forward‑looking decision‑making.
  • Present complex information in clear, compelling formats to support data‑driven decisions across the broader Heineken Beverages organisation. Championdata quality and governance in line with data council principles.
  • Support commercial teams in becoming more confident and self‑sufficient users of data through ongoing training, guidance, and agile‑driven development oftools and dashboards.
  • Coordinate opportunities for data integration and consolidation from second‑ and third‑party sources, ensuring data integrity, automation, and effective digitalenablement. Act as a translator between business objectives and digital solutions.
  • Identify digital audiences and continuously test data variables to optimise targeting and performance across channels.
  • Drive collaboration between data providers and digital enablement teams to strengthen data quality, master data alignment, and metadata management.
  • Contribute to the enhancement, automation, training, roll‑out, back‑office support, and reporting of TSA tools.
  • Provide cover for other Sales Intelligence Analysts when required and support Sales and Marketing KPIs, including tasks related to the month‑end salesincentive process.
  • Deliver regular sales performance reporting, including dashboards, scorecards, and key metrics, while supporting the development and implementation ofcommercial strategies that drive sales growth and improve profitability.
  • Present insights and recommendations to senior stakeholders—including - Sales and Commercial Directors—to inform strategic and operational decisions andcontinuously improve sales intelligence processes, tools, and systems.

 

EDUCATIONAL QUALIFICATIONS


Bachelor’s or Honours degree in an analytical or data‑focused discipline, such as Econometrics, Business or Financial Economics, Business Informatics,Mathematics, Computer Science, Statistics, Data Management, or a related field.

 

PROFESSIONAL EXPERIENCE AND PERSONAL ATTRIBUTES

 

  • 5–7 years’ experience in FMCG and/or Digital environments.
  • Proven experience working as an analyst.Advanced proficiency in Excel, with a strong willingness to learn new analytical tools and technologies.
  • Expertise in data analytics platforms such as QlikView and Power BI.
  • Strong working knowledge of analytical and statistical tools (e.g., SQL, SAP, SAS, SPSS, Oracle Discoverer, Salesforce, Python).
  • Solid understanding of Agile methodologies and ways of working.
  • Highly analytical, structured, and solutions‑orientated, with strong problem‑solving skills.Strong commercial awareness, able to translate data insights intomeaningful business implications—both current and future.Independent, proactive, and able to work with minimal supervision.
  • Excellent communication skills, capable of translating complex data into clear, accessible insights for diverse stakeholders.
  • Agile mindset with the ability and willingness to adapt to changing business needs.

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