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Purpose of job:

Subjected to several new international reporting standards which include but is not limited to those of the Corporate Sustainability Reporting Standards, the International Sustainability Standards Board, the United States Securities and Exchange Commission, etc (NRR). While the bulk of the NRR will be mandatory some will be voluntary. In order to ensure conformance, a full understanding of what data is required by a particular standard. The Data Analysts will play a crucial role in analyzing and interpreting the complex NRR data sets to provide meaningful insights and support data-driven decision-making. The ideal candidate will possess a strong analytical mindset, excellent problem-solving skills, and a passion for uncovering patterns and trends in data.

Key Accountabilities:

The key accountabilities for the Data Analysts will include but not be limited to the following:
  • Data Collection and Cleansing: Gather and organise data from various sources, ensuring its accuracy, completeness, and integrity. Identify and resolve any data quality issues or inconsistencies.
  • Data Analysis: Apply statistical techniques and analytical methods to examine large datasets. Conduct exploratory data analysis to identify patterns, correlations, and trends.
  • Reporting and Visualisation: Create visually appealing and interactive dashboards, reports, and presentations to effectively communicate insights to stakeholders. Present findings in a clear and concise manner, highlighting key takeaways and actionable recommendations.
  • Data Modelling and Forecasting: Develop and maintain statistical models to predict trends, patterns, and future outcomes. Collaborate with cross-functional teams to provide data-driven forecasts and support strategic planning initiatives. (Strong wish)
  • Data Interpretation and Insights: Interpret complex data sets, extract relevant information, and derive actionable insights. Collaborate with stakeholders to understand their business requirements and provide data-driven recommendations for optimizing performance, improving processes, and identifying opportunities.
  • Data Quality and Governance: Implement and enforce data quality standards, ensuring data accuracy, consistency, and reliability. Contribute to the development and maintenance of data governance policies, procedures, and best practices.
  • Continuous Improvement: Stay abreast of industry trends, emerging technologies, and best practices in data analysis. Identify opportunities to enhance data analysis processes, tools, and techniques.
  • Proactively suggest and implement improvements to drive efficiency and effectiveness.
  • Effectively track, monitor and respond to the changing NRR until settled.
  • Conduct business intelligence reviews through ongoing monitoring, scanning and reporting of developments in the external and internal business environment for developments and trends associated with the NRR.
  • Leverage the business intelligence from the Business Units, Corporate Centre functions and external sources for ad hoc reporting.
  • Analyse new legislations to determine the impact on the NRR.


  • Relevant bachelor’s degree

minimum experience:

9+ Relevant years

  • Experience: Minimum of 9 years of experience as a Data Analyst or similar role. Experience working with large datasets, conducting data analysis, and generating actionable insights.
  • Analytical Skills: Strong analytical and problem-solving abilities with a keen attention to detail. Ability to identify trends, patterns, and correlations in complex data sets. Familiarity with statistical analysis, data mining, and predictive modeling techniques.
  • Technical Skills (FOR IM ROLE): Proficiency in SQL for data extraction and manipulation. Experience with data visualization tools (such as Tableau, Power BI, or QlikView) for creating insightful dashboards and reports. Knowledge of statistical programming languages (Python, R) for data analysis and modeling.
  • Communication Skills: Excellent written and verbal communication skills to present complex data and findings in a clear and understandable manner. Ability to communicate effectively with both technical and non-technical stakeholders.
  • Business Acumen: Understanding of business operations, processes, and metrics. Ability to connect data analysis to business objectives and provide actionable recommendations to drive decision-making.
  • Teamwork and Collaboration: Strong interpersonal skills and the ability to work collaboratively in cross-functional teams. Experience working in an agile environment and managing multiple projects simultaneously.
  • Problem-Solving Orientation: Proactive and resourceful approach to problem-solving. Ability to think critically, identify opportunities, and propose data-driven solutions.
  • Data Ethics: Knowledge of data privacy and protection regulations. Strong commitment to maintaining data integrity, confidentiality, and ethical data handling practices.


  • An excellent understanding of Sasol and its integrated manner. A good network within Sasol and excellent people skills. Have a good understanding of Sasol’s approach to Sustainability
  • Compliance: Understanding the rules, regulations, sanctions and other statutory requirements, guidelines and instructions relating to governing bodies and organizations, both internally and externally.
  • Critical reasoning: The action of critically thinking about something in a logical, sensible way and taking all factors into consideration.
    Data Management: Knowledgeable of the theory, purpose, architecture and design of the management, administration and relationships of the organization’s data.
    Problem Solving: Is a step-by-step process of defining a problem, searching for information, and testing a series of solutions until the problem is solved. In involves critical thinking, analysis and persistence.
  • Reporting: The ability to access information from databases, forms, and other sources, and prepare reports according to requirements.
  • Self-Mastery: Takes accountability for driving own growth through developing self-awareness, reflecting, seeking feedback and self-correcting
  • Written Communications: Sending of messages, orders or instructions in writing through letters, circulars, manuals, reports, telegrams, office memos, bulletins, etc. It is a formal method of communication and is less flexible
  • An excellent understanding of Sasol and its integrated manner. A good network within Sasol and excellent people skills. Have a good understanding of Sasol’s approach to Sustainability


  • Please mail your CV to using the job title as your subject line: SENIOR DATA ANALYST, SANDTON as a reference. Please attach all relevant certified qualifications to your CV.
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