The In-line Inspection MFL/GEO Data Analyst (Level 2-3) will evaluate and interpret pipeline inspection data collected by Onstream's MFL (Magnetic Flux Leakage) and Geometry inline inspection tools . You will correlate analysis with field verification measurements, perform QA/QC checks, generate detailed customer survey reports, and interface directly with clients .
MAJOR RESPONSIBILITIES/ACTIVITIES:- Data Analysis & Interpretation: Interpret MFL and Geometry pipeline inspection data to identify anomaly locations, depth, and categorization on oil and gas pipelines .
- Quality Assurance & Verification: Perform data quality assessments, run standard/non-standard analyses, apply anomaly interaction rules, and conduct final QA/QC checks on completed survey reports .
- Historical & Field Correlation: Correlate findings with historical inspection data and physical, hands-on measurements taken from client-provided corrosion samples .
- Reporting & Client Interaction: Generate and present final inspection reports tailored to client specifications . Provide ongoing technical support to clients via phone, email, and in-person for excavations and measurement verification .
- Technical Leadership (Level 3): Establish analysis techniques/procedures, interpret industry codes and standards, perform advanced analysis, and mentor/train junior team members
MINIMUM REQUIREMENTS:- Experience: 5+ years of equivalent inline inspection MFL/GEO data analysis experience .
- Certifications: Historical or active Level 2 or Level 3 MFL/GEO certification .
- Education: Minimum of 2 years completed engineering or science coursework at a recognized college, technical school, or university (or an additional 2 years of equivalent industry experience) .
- Industry Standards: Advanced working knowledge of PHMSA Part 192/195 regulations, as well as API, NACE, and ASME standards and recommended practices .
- Driver's License: Valid driver's license (required for occasional client visits and meetings) .
- Preferred Asset: Experience and training in non-destructive testing (NDT) .
- Strong computer, analytical, and data interpretation skills .
- Ability to learn proprietary software and technical concepts quickly .
- Self-motivated and able to work with minimal supervision while meeting deadlines .
- High attention to detail with the ability to maintain concentration over long periods .
- Strong interpersonal and communication skills for team collaboration and professional client presentations