Senior Specialist Analytics & Enablement
Job Location:
Johannesburg - South Africa
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
Sasol is a global integrated chemicals and energy company with a 75-year heritage. Through our talented people we use our expertise and selected technologies to safely and sustainably source manufacture and market chemical and energy products globally. When you join Team Sasol you are joining a company that puts people at the center of everything we do.
Sasol invests in its employees along every stage of the career path and offers development opportunities to help you cultivate your career in a culture that embraces diversity and inclusion.
12953
31 August 2026
FIN: Financial Controlling & Governance
Sandton Gauteng
The Senior Specialist Analytics and Enablement is responsible for developing maintaining and enhancing finance data products across the Microsoft Azure Synapse data lake and adjacent analytics platforms including Databricks where appropriate. The role translates finance and business requirements into trusted governed and reusable data models analytical products reporting solutions and advanced analytics use cases that enable data-driven decision-making across the Microsoft ecosystem including Power BI and related Power Platform tools. The position works closely with Finance IM and business stakeholders to ensure data solutions are integrated scalable secure fit-for-purpose and aligned to current and future reporting planning performance management and data science enablement needs.
- Data lake and analytics platform enablement: Develop and maintain finance data products across Microsoft Azure Synapse Databricks and related data platforms ensuring that data is reliable reusable and aligned to approved data architecture engineering and governance standards.
- Data product development: Translate finance and business requirements into analytical datasets data models dashboards and reporting products that support performance management planning forecasting and decision-making.
- Integration modelling and advanced analytics enablement: Enable integration of source data from systems such as SAP OneStream Excel and other relevant platforms into the finance data lake and downstream analytics environment supporting both reporting requirements and data science use cases.
- Power BI and Microsoft ecosystem enablement: Develop and support Power BI datasets reports KPI scorecards and dashboards that provide clear consistent and actionable insights to stakeholders.
- Data quality and governance: Monitor analyse and improve data quality master data alignment metadata controls and reconciliation processes to protect the integrity of finance information.
- Business partnering and insight generation: Work with Finance IM business units and agile delivery teams to identify opportunities prioritise value-adding analytics use cases and convert data into practical business insight.
- Solution lifecycle management: Support the full lifecycle of analytics solutions including requirements gathering process mapping design development testing deployment documentation support and continuous improvement.
- Continuous improvement automation and data science enablement: Identify opportunities to improve transparency speed standardisation and efficiency through automation reusable data assets modern analytics practices and targeted data science techniques.
- Engage stakeholders to understand finance reporting planning and operational data requirements and document these requirements in a clear and structured manner.
- Design build and maintain finance data models curated datasets semantic models and analytical workflows in Azure Synapse Databricks and related Microsoft technologies.
- Ingest transform validate and reconcile data from relevant finance and operational source systems ensuring alignment to OneStream dimensions Power BI modelling principles and enterprise data standards.
- Develop Power BI reports dashboards and KPI scorecards that provide meaningful insights and support tactical and operational decision-making.
- Apply analytical and data science methods to identify trends exceptions risks performance drivers forecasts anomalies and opportunities for optimisation across finance and business processes.
- Perform data cleansing profiling and validation activities to ensure completeness accuracy consistency and usability of finance data.
- Collaborate with IM data engineering architecture security and governance teams to ensure solutions are integrated scalable controlled and compliant.
- Participate in agile delivery activities including backlog refinement sprint planning minimum viable product development user testing and release support.
- Prepare and maintain solution documentation data definitions design decisions test evidence support material and handover artefacts.
- Support existing analytics products dashboards datasets and micro-solutions resolving issues and implementing enhancements as business needs evolve.
- Advise product owners project teams and stakeholders on data design reporting logic system enhancements and opportunities to leverage the Microsoft ecosystem more effectively.
- Stay abreast of emerging data analytics and Microsoft technology trends and apply relevant practices to continuously improve the finance analytics capability.
- Relevant 3-4 year university degree in Finance Accounting Information Systems Data Analytics Computer Science Engineering or a related field.
- A postgraduate qualification will be advantageous.
- 9 years relevant experience in data analytics data modelling business intelligence finance systems reporting or related data enablement roles.
- Experience in finance performance management planning forecasting or management reporting environments will be advantageous.
- Microsoft Azure Synapse Databricks Azure Data Factory and related Azure data services including data ingestion transformation orchestration and governed data product development.
- Power BI including dataset modelling DAX reporting dashboards and KPI scorecards.
- Proficiency in SQL and practical experience with Python or similar coding languages for data transformation automation analytics data quality testing and repeatable analytical workflows.
- Experience applying data science techniques such as exploratory data analysis feature preparation statistical analysis forecasting predictive modelling or anomaly detection to practical finance or business use cases will be advantageous.
- Integration of finance and operational source systems such as SAP OneStream Excel and other enterprise platforms.
- Exposure to Power Apps Power Automate Microsoft Fabric machine learning services or other relevant analytics and automation platforms will be advantageous.
- Understanding of finance master data reporting hierarchies controls governance and data quality principles.
- Azure Power BI data analytics data engineering or related Microsoft certifications will be advantageous.
Sasol is an equal opportunity and affirmative action employer. Inspired by our Purpose of Innovating for a better world Sasol acknowledges that diversity is intrinsic to the fabric of our organisation and is the key to our growth and success. Sasol is committed to the full inclusion of all suitably qualified individuals. Preference will be given to applicants from designated groups and people with disabilities according to Sasols Employment Equity Plan. This includes reasonable accommodation to enable individuals with disabilities to perform essential job functions.
Our automated process is designed to efficiently assess a large volume of applications. Should you not hear from us within 60 days of the advert closing then kindly consider your application unsuccessful. Thank you once-more for your interest in Sasol as your employer of choice and we wish you all the best with your career aspirations and future applications with us.
Required Experience:
Senior IC
About Company
Sasol is a global chemicals and energy company. We are a public company listed on the Johannesburg Stock Exchange in South Africa and the New York Stock Exchange in the United States.
