Project Data Analyst

Redpath Bruce

. Ensure that all functions are carried out in compliance with company health, safety and environmental guidelines, policies, procedures, and legislations.

Posted 4/21/2026part-timePatagonia • Arizona • 🇺🇸 United StatesJuniorMid-LevelWebsite

Tech Stack

Tools & technologies

ERPIoTOraclePythonSQLTableau

About the role

Key responsibilities & impact

Ensure that all functions are carried out in compliance with company health, safety and environmental guidelines, policies, procedures, and legislations.
Collect and consolidate daily, weekly, and monthly data from shaft sinking operations, including cycle times, advance rates, downtime logs, and resource consumption metrics.
Analyze data to align reporting across departments, identifying discrepancies in cycle metrics (e.g., blast-to-muck cycles, hoist efficiencies) and recommending standardization protocols.
Develop and maintain dashboards and visualizations for key performance indicators (KPIs) such as shaft depth progression, material handling volumes, and safety incident correlations.
Support the integration of data from various sources, including IoT sensors, timekeeping systems, and manual logs, to create unified datasets for project tracking.
Perform statistical analysis on operational data to forecast trends, detect bottlenecks in vertical shaft workflows, and propose optimizations for cycle efficiency.
Collaborate with project engineers and site managers to validate data accuracy and incorporate engineering insights into analytical models.
Assist in the setup and maintenance of data management systems, including code of accounts for cost allocation tied to shaft sinking phases.
Monitor and report on variances from project baselines, using tools like earned value management adapted for data-centric metrics.
Prepare customized reports and presentations for site and office personnel, highlighting data-driven insights on productivity, cost overruns, and risk factors.
Track environmental and safety data, such as ventilation metrics and hazard reports, to ensure compliance and inform proactive measures.
Participate in change management processes by quantifying the impact of modifications on cycle metrics and overall project data integrity.
Contribute to the development of data governance procedures specific to mining projects, ensuring data quality and accessibility.
Train site personnel on data entry best practices and basic analytical tools to improve on-site data collection.
Arrange and document data review meetings, compiling minutes and action items related to metrics alignment.
Maintain historical data repositories for benchmarking future shaft sinking projects.
Develop ad-hoc queries and scripts to extract insights from complex datasets, focusing on unique aspects of vertical shaft operations like ground stability correlations.

Requirements

What you’ll need

Education: Bachelor’s or Associate degree in Data Analytics, Statistics, Mining Engineering, Operations Management or a related field.
Preferred: Certifications in data analysis tools (e.g., SQL, Python, Tableau) or mining-specific data management.
Required: 2 Years of experience in data analysis, preferably in construction, mining, or heavy industry, with exposure to performance metrics and reporting.
Preferred: 4 Years in underground mining or shaft sinking projects, with hands-on experience in cycle time analysis, data integration, and KPI tracking.
Proven ability to handle large datasets and generate insights for operational improvements.
Knowledge of vertical shaft sinking processes, including cycle components and common metrics (e.g., advance per shift, downtime causes).
Understanding of data privacy and mining regulations related to reporting.
Proficiency in data analysis principles, including statistical methods and trend forecasting.
Ability to maintain accurate and timely data reports.
Ability to meet deadlines consistently.
Ability to provide objective, data-backed recommendations.
Good understanding of business interfaces, including operations, engineering, and finance.
Comprehensive computer skills including:
- SQL for database querying
- Python or R for data scripting
- Tableau or Power BI for visualization
- MS Office (Excel advanced functions, PowerPoint)
- MS SharePoint
- Oracle Fusion or similar ERP systems.

Benefits

Comp & perks

Ability to pass background clearance check, drug screening and physical.
Ability to understand and follow verbal and written instructions.
Ability to prepare written reports and correspondence.
Ability to effectively communicate verbally and in writing.
Ability to work in a team environment with minimal supervision.
High level of attention to detail, neatness and accuracy.
Ability to work both independently and collaboratively.

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data analysisstatistical analysistrend forecastingcycle time analysisdata integrationKPI trackingdata managementdata governancedata entry best practicesad-hoc queries

Soft Skills

ability to handle large datasetsability to provide objective recommendationsability to meet deadlinescollaborationcommunicationtrainingattention to detailproblem-solvingorganizational skillschange management

Certifications

data analysis tools certificationmining-specific data management certification