Remote Offshore Drilling Process Data Analyst

Digitailor; Alpharetta (GA); Remote; USD 110,000 - 150,000; Full time

Job summary

Digitailor is seeking an experienced Process Data Analyst to monitor the health and performance of offshore drill ship rotating assets using historian and SCADA data. You will detect faults, validate findings with vibration data, and work with US stakeholders across a remote diagnostic workflow.

The role emphasizes data quality, trend analysis, and developing anomaly detection rules, requiring strong English communication and experience with OSIsoft/AVEVA PI, Wonderware, or Ignition.

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.

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 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 and 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.

Job description

Digitailor is seeking an experienced Process Data Analyst to monitor the health and performance of offshore drill ship rotating assets using historian and SCADA data. You will detect faults, validate findings with vibration data, and work with US stakeholders across a remote diagnostic workflow.

The role emphasizes data quality, trend analysis, and developing anomaly detection rules, requiring strong English communication and experience with OSIsoft/AVEVA PI, Wonderware, or Ignition.