Job Description

We value our people and encourage everyone to grow professionally. If you think this opportunity is right for you, we encourage you to apply!
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Job Summary/Description:
As a Downstream Data Analyst at SD Guthrie, you will play a critical role in analyzing and interpreting complex datasets to support strategic and operational decision-making within the downstream segment of the palm oil value chain. Your responsibilities will go beyond traditional analysis to include building deep domain knowledge in downstream operations such as refining, trading, and logistics. You will translate business challenges into analytical problems and deliver actionable insights to improve cost efficiency, productivity, and performance improvements.
Responsibilities:
1. Data Extraction and Cleaning
Utilize advanced techniques in data extraction and cleaning to ensure high-quality datasets for analysis.
Work with large datasets from various sources within the company, including operational databases and external data sources.
2. Data Analysis and Visualization:
Conduct in-depth analysis using historical, actual and projected/budget data via Microsoft Excel, Power BI, and other analytical tools.
Develop visually appealing and insightful reports to present key findings to higher management.
3. Insights Generation:
Identify trends, patterns, and anomalies in the data to generate actionable insights.
Collaborate with cross-functional teams to interpret data findings and provide recommendations for improving operational efficiency and productivity.
4. Decision Support:
Support senior management in making informed decisions by providing data-driven insights and recommendations.
Translate complex data analyses into clear and concise presentations to facilitate decision-making processes.
5. Continuous Improvement:
Stay updated on industry best practices and emerging trends in data analysis and visualization.
Proactively identify opportunities for process improvement and optimization in data management and analysis workflows.
Requirements:
Bachelors or Masters degree in Data Science, Analytics, Statistics, Computer Science, Engineering, Economics or related fields.
Experience in data analytics, preferably in manufacturing, commodities, or agriculture sectors, is an advantage
Strong command of data analysis tools (Excel, Power Pivot, Power BI, DAX)
Basic understanding of Python or macros for exploratory analysis or automation is a plus.
Experience working with ERP or plantation systems (e.g. SAP) is advantageous.
Strong business acumen, problem-solving ability, and capacity to turn ambiguous problems into structured insights.
Effective communicator with the ability to simplify complex data for non-technical stakeholders.
Self-driven, detail-oriented, and collaborative with a continuous improvement mindset.
To apply, please submit your resume and cover letter outlining your interest for this role.