Forestry Business Analyst - Ngodwana at Sappi

As a Forestry Business Analyst, you will be responsible for:

• Collaborate with cross-functional teams to gather, integrate and analyse data related to processes across the forest supply chain.
• Perform data validation, working closely with data owners to refine and improve data sources.
• Interpret data findings to provide actionable insights that contribute the development of business improvement strategies.
• Assist Forestry team members and managers to translate their business needs into technical specifications.
• Engage in process mapping and contribute to the development of process documentation that serves as a foundation for improvement initiatives.
• Participate in the development and trial of new enabling forestry technologies.
• Support the development of business cases, providing data and analysis.
• Contribute to scenario analysis and modelling to evaluate process enhancements.
• Participate in assessing the feasibility and potential impact of proposed changes.
• Drive process changes by promoting the implementation of new tools and technologies, creating training materials, and supporting change management initiatives.
• Support change impact assessments for process changes to identify areas where targeted coaching is essential for employees to adapt effectively, and actively participate in delivering the necessary coaching and support.
• Set up reports and system interfaces to enable the reporting of key performance indicators and monitoring mechanisms.
• Prepare reports on the performance and effectiveness of implemented process changes.

What are we looking for?

• Bachelor’s Degree in Forestry Science, Industrial Engineering, Computer Science, or equivalent.
• More than 2 years proven experience in business analysis, data analytics, and process improvement, preferably within the forestry industry.
• Strong analytical skills with experience in using database and data visualisation tools and techniques to provide actionable insights and conclusions.
• Proficient in common Excel functions and in data processing, including some experience in analysing large datasets using Excel, SQL and Python or R.
• Effective communication and collaboration skills - and the ability to operate in a highly cross-functional environment.
• Desirable, but not a prerequisite: Experience in the application of current and new enabling technologies and tools relevant to forest operations (e.g. simulation software, GIS, forestry management systems, data intelligence software, sensing technologies, scheduling systems & machine learning).
• Valid Code B (or Code 08) driver’s license