Safety Data Analyst

Rumpke Waste & Recycling • Colerain Township, OH

1d • 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

• Possible exposure to high traffic conditions and/or tight driving areas.
• Exposure to residential and commercial waste.
• Ability to travel between offices, as required.
• 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 changespdates 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed