Safety Data Analyst

LinQ Global Group; Boston (MA); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Equal opportunity employer

Job summary

LinQ Global Group seeks a Safety Data Analyst to develop data-driven analysis reports, executive dashboards, and statistical models to identify safety trends and evaluate risk mitigations. The role integrates multi-modal datasets to produce white-paper-style analytical reports for senior leadership and regulatory oversight agencies.

The position requires 2+ years of analytics experience, proficiency with SQL, Python, R, and data visualization tools, and a Bachelor's degree in a related field.

Qualifications

• 2+ years of data analytics, statistical evaluations, trend identification.
• Ability to craft narrative, white-paper-type reports with methodology.
• Solid understanding of linear modeling, standard error, distributions, and variance.
• Proficient in data visualization with Excel, PowerPoint, SharePoint.
• Bachelor’s degree in relevant field or equivalent experience.

Responsibilities

• Author long-form reports on safety issues and risk trends.
• Compile and report monthly safety KPIs and mitigation effectiveness.
• Prepare data packages for Safety Investigation teams.
• Perform ad-hoc reviews of incident and hazard logs for risk assessment.
• Collaborate with State Safety Oversight Agency on data.
• Merge disparate datasets into coherent models for trends.
• Conduct descriptive/inferential modeling of incident frequency and correlations.
• Translate outputs into charts, executive summaries, data design best practices.
• Apply HFACS and FMEA to identify root causes and systemic risk.
• Present findings to technical and non-technical audiences.

Skills

Data analytics

Statistical modeling

Data visualization

Reporting & storytelling

Education

Bachelor's degree in Data Analytics, Statistics, Engineering, Safety Management, or related field

Tools

SQL

Python

R

Excel

SharePoint

Power BI

Job description

We are seeking a Safety Data Analyst to develop data-driven analysis reports, executive dashboards, and statistical models to identify safety trends, evaluate risk mitigations, and examine emerging operatiol hazards. This role integrates multi-modal datasets to produce white-paper-style analytical reports for senior leadership, investigative teams, and state regulatory oversight agencies.

Key Responsibilities

• Author academically structured, long-form reports examining critical safety issues, operational hazards, and emerging risk trends.
  
• Compile, analyze, and report monthly progress toward annual safety Key Performance Indicators (KPIs) and mitigation effectiveness for senior leadership.
  
• Prepare comprehensive data packages for Safety Investigation teams to establish contextual baselines and identify related incident patterns.
  
• Execute ad-hoc data reviews of incident, hazard, and near-miss logs to support risk assessments and proactive safety actions.
  
• Collaborate with the State Safety Oversight Agency to evaluate Risk-Based Inspection data and assess the impact of corrective action plans.
  
• Clean, reconcile, and merge disparate operational and incident datasets into coherent models for trend identification.
  
• Perform descriptive and inferential statistical modeling to evaluate incident frequency, variance, standard error, and operational correlations.
  
• Translate raw dataset outputs into visual charts, graphs, and executive summaries adhering to data design best practices.
  
• Apply safety methodologies (HFACS, FMEA) to identify root causes, organizational failures, and systemic risk drivers.
  
• Partner with inter-divisional safety teams, operational staff, and external regulatory bodies to align on safety findings.
  
• Maintain documentation repositories, analytical runbooks, and report archives across SharePoint and enterprise systems.
  
• Deliver oral and visual presentations detailing complex analytical findings to both technical teams and non-technical public audiences.
  

Required Skills & Experience

• 2+ years of experience performing data analytics, statistical evaluations, data joining/merging, and trend identification.
  
• Proven ability to produce narrative, white-paper-style analytical reports featuring literature reviews, methodology explanations, and formal recommendations.
  
• Practical understanding of statistical concepts, including linear modeling, standard error, probability distributions, variance, and sampling.
  
• Proficiency in data visualization techniques and advanced usage of the Microsoft Office Suite (Excel, Word, PowerPoint, SharePoint).
  
• Bachelor’s degree in Data Analytics, Statistics, Engineering, Safety Management, or a related field (or equivalent combination of education and experience).
  

Preferred Qualifications

• Familiarity with Root Cause Analysis (RCA), Failure Mode and Effects Analysis (FMEA), and the Human Factors Analysis and Classification System (HFACS).
  
• Practical experience using programming languages (SQL, Python, or R) for data extraction, manipulation, and statistical modeling.
  
• Experience working alongside State Safety Oversight Agencies or similar transportation/safety regulatory framework bodies.

Equal Opportunity Employer, including disabled and veterans.