Part-Time QA Analyst

Yesterday

🤠 Texas – Remote

Although this job is listed in Texas, this company may be open to hiring remote in other states.

⏱ Part Time

🟡 Mid-level

🟠 Senior

🔧 QA Engineer (Quality Assurance)

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ComboCurve

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Energy • SaaS • B2B

ComboCurve is a SaaS platform that automates and scales oil and gas reserves forecasting, deal evaluation, and production economics for energy companies and advisors. It enables bulk data import, automated forecasting using dozens of configurable variables, statistical diagnostics, type-curve generation, and integrated economic analysis to speed up A&D, asset management, and reserve workflows. The product targets petroleum engineers, upstream operators, midstream firms, banks/advisors, and other energy professionals who need accurate, high-volume well forecasting and economic modeling.

51 - 200 employees

Founded 2017

⚡ Energy

☁️ SaaS

🤝 B2B

📋 Description

• Test new features and bug fixes across core web app workflows and dashboards. • Follow and improve regression test checklists during release cycles. • Help write clear test cases and lightweight documentation for recurring QA processes. • Log bugs with strong reproduction steps, screenshots, and “expected vs. actual” notes. • Partner with engineers to understand features and identify edge cases early. • Validate data accuracy and UI behavior in key analytical outputs. • Learn basic testing and automation tools over time (if/when needed). • Support incident follow-ups by re-testing fixes and helping prevent regressions.

🎯 Requirements

• Interest in software quality, product reliability, and user experience. • Strong attention to detail and ability to methodically work through test steps. • Comfort learning new tools and navigating modern web applications. • Clear written communication, especially for documenting steps and reporting issues. • Ability to manage part-time hours effectively and work independently. • Some knowledge or experience with ComboCurve. • Familiarity with reservoir engineering tools such as ARIES and/or PHDWin. • Exposure to QA concepts, test case writing, or structured troubleshooting. • Basic Excel, or data validation experience. • Currently pursuing or recently completed a degree in Engineering, Computer Science, Data Science, Petroleum Engineering, or a related field (preferred but not required).