Pipeline Data Analyst: Turn Signals into Operational Insights

PipeSense; Houston (TX); On-site; USD 75,000 - 110,000; Full time

Job summary

PipeSense in Houston, TX seeks a Data Analyst to convert complex pipeline data into clear, actionable insights for operations and safety.

You will analyze monitoring data, interpret signals, review alarms, and evaluate system performance, collaborating with engineering, software, and data science teams to improve workflows and support real-time decisions.

Experience with Python, MATLAB, and SQL is preferred, with strong communication and the ability to work across multiple teams.

Qualifications

• Master’s degree or bachelor’s in a related field.
• Strong data analysis, signal processing and modeling abilities.
• Experience with Python, MATLAB, SQL, or similar tools.
• Excellent communication and cross-team collaboration skills.
• Preferred: oil and gas pipeline data or related domains.

Responsibilities

• Analyze pipeline monitoring and field operations data.
• Interpret signals, investigate alarms, and identify trends or anomalies.
• Translate analytical findings into practical operational insights.
• Support field teams with digital and analytical expertise.
• Improve and automate data-analysis workflows.
• Contribute to machine learning and technology-development initiatives.

Skills

Data analysis

Signal interpretation

Statistical modeling

Independent work

Cross-team collaboration

Problem solving

Communication

Education

Master’s degree in Data Science / Engineering / Physics / Mathematics / Statistics / CS / Applied Science

Tools

Python

MATLAB

SQL

Cloud platforms

Job description

PipeSense in Houston, TX seeks a Data Analyst to convert complex pipeline data into clear, actionable insights for operations and safety.

You will analyze monitoring data, interpret signals, review alarms, and evaluate system performance, collaborating with engineering, software, and data science teams to improve workflows and support real-time decisions.

Experience with Python, MATLAB, and SQL is preferred, with strong communication and the ability to work across multiple teams.