Green Gold Group

Data Analyst & IoT Specialist

As a Data Analyst & IoT Specialist at Green Gold Group, you will connect sensor networks, industrial equipment, and cloud platforms to generate real-time insights that power predictive maintenance, energy efficiency, and zero-waste operations.

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Role Overview

You will serve as the bridge between hardware sensors on farms and processing lines, and the dashboards & analytics used by operators and executives. Your work enables smarter decisions on throughput, energy, uptime, and sustainability.

Key Responsibilities

  • Integrate IoT sensor networks with cloud and on-premise systems.
  • Design and maintain data pipelines from edge devices to analytics dashboards.
  • Analyze plant and production data for yield optimization and efficiency gains.
  • Develop predictive maintenance models based on machine sensor logs.
  • Collaborate with AI developers to embed analytics into real-time feedback loops.
  • Ensure data quality, normalization, and security across multiple sources.

Qualifications

  • BSc/MSc in Data Science, Computer Science, Electrical/Automation Engineering, or related field.
  • Experience with IoT protocols (MQTT, OPC-UA, Modbus) and industrial data buses.
  • Solid knowledge of Python, SQL, and data visualization frameworks.
  • Hands-on experience with dashboards (Grafana, PowerBI, Tableau, etc.).
  • Ability to clean, model, and interpret time-series sensor data.
  • Familiarity with edge devices, PLCs, or SCADA systems is a big plus.

Nice to Have

  • Experience with cloud IoT platforms (AWS IoT Core, Azure IoT Hub, GCP IoT).
  • Exposure to machine learning for anomaly detection and predictive analytics.
  • Background in energy monitoring, sustainability metrics, or agritech systems.

Location & Logistics

  • Hybrid role (on-site at processing facilities with remote flexibility).
  • Full-time; competitive salary plus performance-based incentives.
  • Work alongside engineers, AI specialists, and agronomists in a cross-functional team.

Ready to connect machines, data, and decisions for real-world impact?

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