Safety Data Analyst

KMRG; Pearl City (HI); On-site; USD 83,000 - 100,000; Full time

Job summary

KMRG, LLC seeks a Safety Data Analyst to support PHNSY & IMF’s Occupational Safety and Health Office at Pearl Harbor. The role focuses on validating data, building dashboards, and delivering concise analyses to leadership.

You will translate complex data into decision-ready information, prepare monthly trend analyses, and support program managers with clear briefings. Strong Excel skills and data interpretation are essential for success.

Qualifications

• Strong analytical and critical-thinking skills.
• Proficiency in Microsoft Excel, including advanced functions and pivot tables.
• Experience interpreting large datasets and communicating findings clearly.
• Experience with statistical analysis, trend analysis, or performance-data evaluation.

Responsibilities

• Verify data for accuracy, completeness, and consistency before analysis.
• Identify missing, inconsistent, or unusual data and coordinate resolution of discrepancies.
• Analyze OSH data from RMI, SharePoint, local logs, and other databases.
• Identify trends in injuries, hazards, near-misses, reporting behavior, and safety performance.
• Identify leading indicators and emerging risks within Occupational Safety and Health data.
• Compare data across departments, time periods, and other groups to support benchmarking.
• Identify gaps in reporting, hazard recognition, or data quality.

Skills

Analytical thinking

Data interpretation

Communication

Tools

Microsoft Excel

Job description

Title: SafetyData Analyst
Location: Bldg. 140, Pearl Harbor, HI 96860
Schedule: Full-time, Monday-Friday, 6:30 AM-3:00 PM
Salary: $83,000-$100,000 annually

KMRG, LLC (KMRG) is a federal services company that hires talented professionals to support Government agencies and the communities they serve. We are hiring a SafetyData Analyst to support the Pearl Harbor Naval Shipyard and Intermediate Maintenance Facility (PHNSY&IMF) Occupational Safety and Health Office.

RESPONSIBILITIES

Safety Data Validation & Analysis

• Verify data for accuracy, completeness, and consistency before conducting analysis
• Identify missing, inconsistent, or unusual data and coordinate resolution of discrepancies
• Analyze OSH data from RMI, SharePoint, local logs, and other databases
• Identify trends in injuries, hazards, near-misses, reporting behavior, and safety performance
• Identify leading indicators and emerging risks within Occupational Safety and Health data
• Compare data across departments, time periods, and other groups to support benchmarking
• Identify gaps in reporting, hazard recognition, or data quality

Dashboards, Reporting & Leadership Support

• Develop dashboards, charts, written summaries, and analytical narratives
• Translate complex data into clear, decision-ready information
• Prepare structured briefings for program managers and senior leaders
• Highlight trends, emerging risks, data limitations, and recommended actions
• Prepare monthly trend analyses and historical performance comparisons
• Present monthly In Progress Reviews and provide Personnel Support Reports

Process Improvement & Data Quality

• Identify inefficiencies in data collection, reporting, analysis, and workflows
• Recommend improvements to reporting systems, metrics, and data processes
• Maintain documentation of analytical methods, processes, and guides
• Troubleshoot data-entry problems using existing instructions and guidance
• Escalate complex data discrepancies or system anomalies to appropriate Government personnel
• Support unplanned or emergent data-processing requirements as needed

Communication & Customer Support

• Communicate analytical findings clearly in visual, verbal, and written formats
• Coordinate with appropriate contacts to resolve data-quality issues
• Provide responsive customer service and analytical support
• Organize and maintain physical and digital files related to assigned work

REQUIRED BACKGROUND

• Strong analytical and critical-thinking skills
• Proficiency in Microsoft Excel, including advanced functions and pivot tables
• Experience interpreting large datasets and communicating findings clearly
• Experience with statistical analysis, trend analysis, or performance-data evaluation