About the Role
LADFAH is seeking a Frac Data Analyst to support completion intelligence workflows using real-time and historical hydraulic fracturing data.
You will analyze treatment pressure, rate, proppant concentration, stage performance, downtime, pumping behavior, and operational events to help completion teams understand what is happening during stimulation and where performance can improve.
The role is fully remote. Work from anywhere with flexible hours designed to promote a healthy work-life balance.
Work from anywhere with flexible hours designed to promote a healthy work-life balance. We focus on clear communication, dependable collaboration, and measurable outcomes rather than physical location.
What You Will Do
- Analyze frac stage data including treating pressure, slurry rate, clean rate, proppant concentration, fluid volumes, and pumping schedules.
- Identify anomalies, operational delays, screenout indicators, pressure-response changes, and stage-to-stage performance differences.
- Build repeatable analytical workflows and dashboards for completion performance review.
- Support benchmarking across wells, pads, crews, stages, and treatment designs.
- Work with engineers and data teams to improve data quality, event classification, and operational context.
- Translate complex time-series data into concise technical findings and actionable recommendations.
What We’re Looking For
- Background in petroleum engineering, completions, data analytics, or a related technical discipline.
- Working knowledge of hydraulic fracturing operations and common stimulation parameters.
- Strong analytical skills with time-series data, spreadsheets, SQL, Python, or BI tools.
- Ability to distinguish data-quality issues from genuine operational behavior.
- Clear technical communication and disciplined documentation habits.
- Experience with frac analytics, completions databases, or real-time treatment systems is advantageous.
How We Work
Remote by Design
Work from anywhere while supporting distributed completion teams.
Flexible Hours
Flexible working hours designed to support a healthy work-life balance.
Data-Rich Problems
Work with high-frequency operational datasets and real engineering decisions.
Product Influence
Help shape LADFAH completion intelligence workflows and analytics.
Interested in This Role?
Tell us about your background, the problems you enjoy solving, and why this role interests you. We value practical experience, clear thinking, and curiosity.
Apply / Express Interest