Safety Data Analyst

Safety Data Analyst (6 month assignment)Description of Services:Develop high-quality, academically structured analysis reports (white-paper style) that provide rigorous, data-driven examinations of key safety issues and emerging hazards or trends.Compile data, analyze, and report monthly on trends for progress towards annual safety key performance indicators, as well as an assessment of mitigations to senior leadership.Compile data, analyze, and prepare data packages for Safety Investigations to further prepare investigative teams to understand the context of individual events and key related trends.Compile data, analyze, and prepare ad hoc reports that support various Safety Risk Management activities that review incident and hazard data for potential identification for further actions.Analyze data in coordination with our State Safety Oversight Agency to review progress of mitigations and their impacts from Risk Based Inspection programs.Essential Skills:Knowledge and experience with quantitative analysis, including statistical evaluation of incident and operational data, interpretation of key performance indicators, and the ability to integrate and reconcile multi-modal datasets into coherent analytic products that support trend identification, risk assessment, and evidence-based decision-makingKnowledge and experience producing long-form analytical writing products that include literature review, comprehensive documentation, and formal recommendationsAbility to communicate effectively across a team, collaborate with team members in other divisions, and present complex findings to a variety of audiences.Competency in data visualization best practices and translating raw data into accessible charts that accurately define the problem and help readers to understand the key recommendations or trend information portrayed.Proficiency in utilizing Microsoft Suite (SharePoint, Excel, Word, PowerPoint)Strong organizational and multi-tasking skillsProblem-solving and trend identification skillsAttention to detail, accuracy of information, and professionalismQualifications:A bachelors degree; an associate degree or high school diploma or GED with equivalent experience may be a substitute for a bachelors degree.2 years of experience in data analytics, technical report writing, or a related field.Excellent writing skills with long-form, narrative reports that are accessible to non-technical audiences and the broader public audience.Basic statistical analysis skills to include an understanding of linear modeling, standard error, distribution, and variance.Basic data modeling skills to include an understanding of joining, merging, summarizing, and sampling.Preferred knowledge and experience with Root Cause Analysis, to include causal factor identification, failure mode and effects analysis (FMEA), and the Human Factors Analysis and Classification System (HFACS) framework.Preferred knowledge and experience with programming languages (SQL, R, and/or Python) and their use for performing data and statistical analysis.

Knowledge and experience with quantitative analysis, including statistical evaluation of incident and operational data, interpretation of key performance indicators, and the ability to integrate and reconcile multi-modal datasets into coherent analytic products that support trend identification, risk assessment, and evidence-based decision-making Knowledge and experience producing long-form analytical writing products that include literature review, comprehensive documentation, and formal recommendations Ability to communicate effectively across a team, collaborate with team members in other divisions, and present complex findings to a variety of audiences. Competency in data visualization best practices and translating raw data into accessible charts that accurately define the problem and help readers to understand the key recommendations or trend information portrayed. Proficiency in utilizing Microsoft Suite (SharePoint, Excel, Word, PowerPoint) Strong organizational and multi-tasking skills Problem-solving and trend identification skills Attention to detail, accuracy of information, and professionalism, A bachelors degree; an associate degree or high school diploma or GED with equivalent experience may be a substitute for a bachelors degree. 2 years of experience in data analytics, technical report writing, or a related field. Excellent writing skills with long-form, narrative reports that are accessible to non-technical audiences and the broader public audience. Basic statistical analysis skills to include an understanding of linear modeling, standard error, distribution, and variance. Basic data modeling skills to include an understanding of joining, merging, summarizing, and sampling. Preferred knowledge and experience with Root Cause Analysis, to include causal factor identification, failure mode and effects analysis (FMEA), and the Human Factors Analysis and Classification System (HFACS) framework. Preferred knowledge and experience with programming languages (SQL, R, and/or Python) and their use for performing data and statistical analysis.