Process Data Analyst (Offshore Drilling Rotating Assets)
Infinite Uptime India Pvt. ltd.
·Today
- Salary
- Up to ₹1
- Location
- Alpharetta, United States
- Workplace
- Remote
- Education
- Bachelor
- Source
- Keka
Description
| Location | Remote Working |
| Shift | 12:00 PM to 9:00 PM IST (overlap with US time zones) |
| Experience | 5 to 8 years (flexible for exceptional candidates) |
| Reports to | Head of Remote Diagnostics |
Role Summary
Key Responsibilities
- Monitor and analyze process and operational data from drill ship rotating assets daily, using historian trends, dashboards, and analytical tools.
- Detect early deviations in process data to predict the potential faults in the equipment or system.
- Compare actual behaviour against baselines, OEM curves, and operating envelopes.
- Build and maintain asset health baselines, normal operating models, and alarm thresholds, accounting for operating modes (drilling, tripping, DP, transit, standby).
- Separate real faults from operational effects by correlating multiple parameters across time, load, and environmental conditions (sea state, ambient temperature, seawater temperature).
- Identify sensor and data quality problems (drift, flatlines, spikes, wrong scaling) and flag them to the client or data team.
- Develop and tune rules, multivariate models, and anomaly detection logic, working with the data science team where needed.
- Review vibration data (overall levels, spectra, trends) to validate process-based findings and pinpoint fault type.
- Produce fault and anomaly reports with severity, probable cause, supporting evidence, recommended action, and urgency.
- Escalate critical issues promptly to offshore maintenance teams, rig management, and onshore reliability engineers.
- Support onboarding of new assets, tags, and data sources.
Required Qualifications
- Bachelor's degree in Mechanical, Electrical, Marine, Instrumentation, or Chemical/Process Engineering (or equivalent).
- 5+ years in process data analysis of rotating equipment on offshore drilling units or drill ships.
- Proven experience analyzing large time-series datasets from historians or SCADA (e.g., OSIsoft/AVEVA PI, Wonderware, Ignition) and drawing diagnostic conclusions.
- Excellent written and spoken English, with the ability to write clear, concise diagnostic reports.