Safety Data Analyst

Rumpke CareersCincinnati, OH
Onsite

About The Position

Safety Data Analyst supports data-driven safety analysis and improvements by identifying relationships and trends in data; uses techniques to display results of analyses; reviews data for accuracy, quality, and completeness; establishes protocols for data management and security; and utilizes multiple strategies to integrate safety data and analysis into the decision-making processes. The Safety Data Analyst will recommend and facilitate policy/program changes or adoptions, facilitate implantation, audit compliance, and consistent application among locations.

Requirements

  • Strong planning and organizational skills.
  • Attention to Detail & complex problem solving.
  • Statistical Theory/Methods.
  • Data Analysis Techniques and Tools.
  • Computer Programming Data & Systems Management.
  • Analyze and present data.
  • Highway Safety Reporting & Evaluation.
  • Written and oral communication.
  • Collaborate Across Multiple Divisions and Organizations.
  • Legally eligible to work in the United States.
  • Must be able to read and speak the English language.

Nice To Haves

  • Valid driver’s license (if applicable).
  • Must successfully complete pre-employment testing.

Responsibilities

  • Analyze company and industry data to identify and quantify specific risks, and collaborate with the business, operations, and outside resources to formulate recommendations for specific programs, policy and operational changes/updates to address those risks, each supported by a full business case, with defined metrics to evaluate their effectiveness and/or impact.
  • Analyze the effectiveness and cost/benefit of policies and programs designed to improve the safety of employees.
  • Develop systems and establish processes to ensure data quality and type of data elements are properly collected and validated to enable robust safety analysis.
  • Develop data analysis and data visualization tools, and user interface systems to facilitate data access, user-friendly data queries, and data system functionality.
  • Use advanced predictive analytics, computational methods, and modeling and simulation techniques to identify and mitigate safety risks.
  • Other duties as assigned.
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