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About the Role

The Risk Control Department is seeking a self-motivated, solution-oriented professional to build data models, tools, and processes that enhance how data is utilized. This role focuses on designing and re-designing data extraction, transformation, and loading processes to improve departmental efficiency and profitability.

Responsibilities

• Collect, evaluate, and design statistical data and reports on a monthly and ad hoc basis.
• Prepare statistical and narrative reports and recommendations.
• Participate in the analysis and interpretation of data.
• Support various project initiatives.
• Develop, maintain, and ensure quality control of data sources, queries, models, and results.
• Run existing analytical reports and assist in defining and designing new reports.
• Utilize data visualization tools to illustrate data trends and patterns.
• Develop, implement, and enhance data models and data warehouse tables.
• Develop and implement data query and mining techniques to optimize efficiency and quality.
• Cleanse and normalize data and develop internal control reporting.
• Assist in the application and implementation of data standards and guidelines.
• Identify, troubleshoot, and remediate data anomalies.
• Develop self-service reporting and tools for end users, including training.
• Assist in the testing and implementation of new or upgraded software.
• Collaborate with management to prioritize business and information needs.
• Provide data consulting to stakeholders to improve database systems.
• Educate other analysts on data analyst techniques.
• Collaborate with internal and external stakeholders to define and document data requirements.
• Support compliance and audit requirements.
• Adhere to the Company's Code of Business Conduct and Ethics.

Requirements

• BS in Mathematics, Economics, Business, Risk Management, Computer Science, Information Management, Statistics, or related fields.
• Experience as a data analyst in the commercial casualty insurance industry, with emphasis in workers compensation preferred.
• Adept at query development, report writing, and presenting findings.
• Understanding of data modeling and data cleansing techniques.
• Strong analytical skills with attention to detail and accuracy.
• Excellent visual design sense for data presentation.
• Ability to interact with business and technology experts to determine technical feasibility.
• Ability to communicate technical concepts to technical and non-technical audiences.
• Ability to organize and balance multiple concurrent timelines and tasks.
• Superb business process analysis and interpersonal skills.

Skills

• Excel
• Access
• Power BI
• Visual Basic
• Database development
• QlikSense
• Tableau
• Hyperion
• SharePoint
• MicroStrategy
• SQL
• R
• Python

Education Level

• BS in Mathematics, Economics, Business, Risk Management, Computer Science, Information Management, Statistics or related fields

About the Company

• PMA’s Risk Control Department