Job description for Data & Systems Analyst Intern at Pandawa Agri Indonesia
THE WHY
We believe that good decisions start with well-managed data. Right now, we’re in a phase where we’re gradually building and improving our internal systems—making them more structured, connected, and reliable.
We see data as something practical. Not just numbers, but a tool that helps us understand what’s really happening on the ground and make better decisions, even in uncertain situations.
Through this role, you’ll support that process. You’ll work closely with different teams, learn how they operate, and help translate day-to-day needs into more structured data and systems.
This is a learning space as much as it is a working one. So if you enjoy figuring things out, asking questions, and turning something messy into something more organized—this could be a good place to grow.
WHO ARE WE LOOKING FOR?
- Fresh graduates from any academic background with an interest in data and systems are welcome to apply
- Intermediate skills in Microsoft Excel / Google Sheets (data cleaning, basic formulas, lookup functions, etc.)
- Basic understanding of Relational Database Management Systems (RDBMS)
- Basic knowledge of SQL is a plus
- Interest or basic understanding in system analysis and business process flow
- Familiarity with process modeling tools (e.g., BPMN) is a plus
- Strong analytical thinking in understanding data and system flows
- Good problem-solving skills with the ability to identify issues and propose simple solutions
- Curious, proactive, and eager to learn new things
- Confident in asking questions, sharing ideas, and engaging in team discussions
- Shows initiative and is willing to challenge existing processes in a constructive way
WHAT WILL YOU DO?
You’ll get hands-on experience in turning real, day-to-day data challenges into more structured and usable systems.
1. Support Data Capability Program
Support the development and implementation of our data capability program, including creating simple playbooks, assisting in program reviews, and helping monitor execution for continuous improvement.
2. Data Integration & Structuring
Assist in cleaning, organizing, and structuring data, including supporting small-scale dashboard improvements. Explore existing databases across teams to understand needs and identify opportunities for improvement, while supporting simple technical implementation.
3. Data & Technology Exploration
Work with the team to explore the use of technology (including AI) in data management. Share insights and simple recommendations to help improve data systems and processes.
