Real-Time Data Analyst

Key Responsibilities:

1. Data Analytics & Monitoring

1. Collect, clean, and analyze real-time and historical plant data (via Aspen IP.21, PI, or DCS historians).
2. Perform trend analysis, root cause investigations, and data reconciliation.
3. Develop dashboards and KPIs for APC performance, model quality, and economic benefits using tools like PowerBI or Seeq.

2. APC & DMCplus Support

1. Collaborate with control engineers and APC specialists to monitor Aspen DMCplus controller performance.
2. Evaluate and tune model predictive controllers to align with process changes.
3. Assist in controller commissioning, validation, and long-term maintenance.

3. Rotating Equipment Monitoring

1. Analyze operating data from pumps, compressors, and turbines, integrating vibration, temperature, and flow data.
2. Correlate equipment behavior with control actions and process dynamics to recommend performance improvements or preventive maintenance.

4. ESP (Electrical Submersible Pumps)

1. Monitor real-time ESP data for anomalies, downtime events, and performance degradation.
2. Integrate ESP analytics into the APC framework, supporting decisions for load allocation, energy savings, and equipment protection.

5. Process Simulation & Digital Twins

1. Use Aspen HYSYS / Aspen Plus for steady-state and dynamic simulations to benchmark real plant data.
2. Support the creation of digital twins and surrogate models for process optimization and operator training.
3. Compare simulated vs actual data to assess model fidelity and suggest calibration.

Work Experience

1. Bachelor's/Master’s in Chemical Engineering, Instrumentation, or Data Science.
2. 8 years experience in process industry (refining, chemicals, upstream) with exposure to Advanced Process Control.
3. Strong proficiency with AspenTech tools: Aspen DMCplus, Aspen Watch, Aspen IQ, Aspen HYSYS/Plus.
4. Familiarity with real-time data historians (Aspen IP.21, OSIsoft PI).
5. Basic scripting/data analytics skills (Python, R, SQL, MATLAB) a plus.
6. Experience with Power BI, Seeq, Spotfire, or similar visualization tools.
7. Knowledge of rotating equipment and ESP systems is highly desirable.

Soft Skills:

1. Strong problem-solving and analytical mindset.
2. Excellent communication skills with both technical and non-technical stakeholders.
3. Team player with a continuous improvement attitude.

Nice to Have:

1. Experience with machine learning applied to process or equipment data.
2. Certification in AspenTech APC tools.
3. Working knowledge of cyber-security practices for OT/IT integration.