Harvesting Data Analyst at Coega Biomass Centre
Port Elizabeth, Eastern Cape, South Africa -
Full Time


Start Date

Immediate

Expiry Date

08 Nov, 25

Salary

0.0

Posted On

08 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Analysis, Databases, Statistics, Statistical Software, Communication Skills, Microsoft Excel, Data Analytics, Environmental Science

Industry

Financial Services

Description

REQUIRED SKILLS AND QUALIFICATIONS:

  • Bachelor’s degree in Data Analytics, Statistics, Environmental Science, or a relevant field.
  • Experience in data analysis within an agricultural, forestry, or industrial context is preferred.
  • Strong proficiency in data tools such as Microsoft Excel; familiarity with databases or statistical software is a plus.
  • Analytical mindset with strong attention to detail and a problem-solving orientation.
  • Excellent written and verbal communication skills, with the ability to present complex findings clearly to team members.
  • Ability to work independently in a data-driven, office-based environment.
    Job Type: Full-time
    Work Location: In perso
Responsibilities
  • Monitor and analyze data, amongst others, on:
  • Harvesting (per site, per harvesting team):
  • Volumes, costs, moisture content, quality and hygiene, and tree species.
  • Rehabilitation (per site, per rehab team)
  • Hectares cleared, herbicides used, costs, tree species, quality.
  • Transport (per transport company, per truck):
  • Kilometres transport, cost/km, cost/ton product, fuel efficiency, weight average load, truck availability, downtime.

The above data should be used to identify trends and outliers to improve operational performance and reduce costs.

  • Prepare detailed and comprehensive reports for the Financial Director and the Harvesting and Supply Director, covering cost analysis and operational outcomes.
  • Identify gaps or inconsistencies in data collection and propose enhancements to improve accuracy and reliability.
  • Provide evidence-based recommendations to SoN management for improving operational efficiency and reducing costs.
  • Collaborate with internal stakeholders to ensure data is used effectively for strategic planning and operational improvements.
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