Manager, Research and Development

• Develop statistical methods and procedures to ensure data validity, applicability, efficiency, and accuracy
• Design and develop data sampling techniques and statistical methods to solve business and technical problems
• Address business user needs and answer business and research questions
• Determine whether statistical methods are appropriate based on user needs or research questions
• Develop and manage software applications or programming for statistical modeling and graphic analysis
• Manage analysts updating predictive models, reports, and data pulls
• Consult on creation of new models, reports, and data pulls
• Draw insights and make recommendations based on assigned analyses and team projects
• Serve as a subject matter expert in multiple areas
• Advance modeling techniques and available hardware/software big data solutions
• Respond to ad-hoc requests
• Prepare department business plans, staffing projections, and budgets
• Requisition supplies and materials and review budgets for cost reduction
• Interview and/or approve job applicants
• Conduct and/or review performance appraisals
• Initiate or approve salary adjustments, performance ratings, and personnel changes
• Counsel associates and take disciplinary action or terminate employment as appropriate
• Supervise and instruct workers on data collection, processing, tabulation, and statistical data interpretation
• Manage large amounts of data processing for statistical modeling and graphic analysis using computers

Requirements

• Bachelor’s degree in Statistics, Mathematics, Data Science, Economics, Computer Science, Engineering, Operation Research, or a related quantitative and analytics field, plus seven (7) years of experience in the job offered or related occupation
• Master’s degree in Statistics, Mathematics, Data Science, Economics, Computer Science, Engineering, Operation Research, or a related quantitative and analytics field, plus five (5) years of experience in the job offered or related occupation
• Experience with SAS SQL
• Experience with cloud databases
• Experience with R programming language
• Experience with Excel VLOOKUP, pivot tables, charts, and graphing
• Experience analyzing data using statistical, mathematical, or data mining methods
• Experience with insurance rating products and principles
• Experience with Claims, Underwriting, Marketing, or Agent functions
• Experience with process control and project management
• May require pre-hire technical screen
• Must be able to report to the local office

Core Competencies

Demonstrates expertise in statistical methods, data analysis, and predictive modeling, with a strong foundation in programming languages such as R and SQL. Capable of managing teams, overseeing data processing, and providing insights to drive business decisions.

Highest-signal resume keywords

• Statistical Modeling
• R Programming Language
• SAS SQL
• Data Analysis
• Cloud Databases

Hard Skills

• Statistical Methods
• Data Sampling Techniques
• Predictive Modeling
• Data Mining Methods
• Excel VLOOKUP
• Pivot Tables
• Graphing
• Data Processing
• Business Analysis
• Project Management

Soft Skills

• Team Leadership
• Communication
• Problem Solving
• Counseling
• Performance Management

Industry Keywords

• Insurance Rating Products
• Claims
• Underwriting
• Marketing
• Agent Functions

Tools & Technologies

• Cloud Databases
• Statistical Software
• Data Visualization Tools
• Business Intelligence Tools