Data Applications Quality and Test Analyst

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🔥 13 hours ago

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Fast2Mine

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2014

🤝 B2B

☁️ SaaS

🤖 Artificial Intelligence

B2B • SaaS • Artificial Intelligence

Fast2Mine is a mining-focused technology company that provides SaaS solutions for the minerals sector, offering telemetry and equipment monitoring, maintenance control, mining control, business intelligence and predictive analytics to improve operational efficiency, fuel management, safety and sustainability. The company monitors thousands of assets across dozens of mines globally and positions itself as a B2B partner helping mining operators turn data into actionable insights for faster, safer and more sustainable operations.

📋 Description

• Ensure the quality, reliability, and compliance with business rules of FAST2 Mine's data applications. • Plan, execute, and document functional, integration, regression, usability, and data integrity tests. • Validate dashboards and analytical reports. • Compare results across databases, spreadsheets, APIs, dashboards, reports, and other data sources. • Validate calculations, metrics, filters, charts, tables, maps, exports, and processing rules. • Test dashboards, BI solutions, Data APIs, data integrity processes, and data applications. • Collaborate with Product, Data, Development, and Business teams during validation (homologation) cycles. • Support the creation and maintenance of automated tests using tools such as Robot Framework or Python. • Contribute to the continuous improvement of quality, validation, and automation processes.

🎯 Requirements

• Intermediate to advanced Excel skills. • Ability to analyze large volumes of data and identify inconsistencies. • Knowledge of operational metrics and KPIs for mine operations. • Organized approach to recording test cases, results, evidence, and defects. • Analytical, critical, detail-oriented profile with a quality focus. • Knowledge of functional testing, integration testing, regression testing, and validation/homologation. • SQL and relational databases, preferably SQL Server; Python. • Robot Framework or other test automation tools. • Jira, Zephyr or similar test and defect management tools; Power BI or other Business Intelligence tools; API testing experience. • Concepts of artificial intelligence and machine learning. • Knowledge of software development processes and agile methodologies. • Experience with data applications, reports, dashboards, or analytical systems.

🏖️ Benefits

• Health insurance • Dental insurance • Flexible hours • Career development plan • Life insurance • Meal allowance • Day Off • Total Pass (transportation benefit) • Employee referral program • Profit-sharing (PLR) • Onboarding kit