Manager, Research and Development

Jobtailor; Beachwood (OH); On-site; USD 90,000 - 150,000; Full time

Job summary

Jobtailor is seeking an analytics-focused senior statistician to design and implement statistical methods for data validity and predictive modeling. You will lead teams in developing sampling techniques and software for statistical analysis, guiding analysts in updating models, reports, and data pulls.

You will tackle business questions, advance modeling techniques, and provide actionable insights while reporting to the local office in Ohio.

Qualifications

• Bachelor’s degree in a quantitative field with several years of experience in statistics or analytics.
• Master’s degree preferred with related experience in risk, insurance, or analytics.
• Proficiency in SAS SQL, R, and cloud databases.
• Experience with Excel functions and data visualization.
• Ability to apply statistical methods to business or research questions.

Responsibilities

• Develop statistical methods to ensure data validity, applicability, efficiency, and accuracy.
• Design sampling techniques and statistical methods to solve business problems.
• Answer business and research questions using data.
• Develop and manage software applications or programming for statistical modeling and analysis.
• Supervise analysts updating predictive models, reports, and data pulls.
• Deliver insights and recommendations from analyses.

Skills

Team Leadership

Communication

Problem Solving

Counseling

Performance Management

Statistical Methods

Data Analysis

Education

Bachelor’s degree in Statistics, Mathematics, Data Science, Economics, Computer Science, Engineering, Operations Research or related field

Master’s degree in Statistics, Mathematics, Data Science, Economics, Computer Science, Engineering, Operations Research or related field

Tools

SAS SQL

R programming language

Excel (VLOOKUP, pivot tables)

Cloud Databases

Statistical Software

Data Visualization Tools

Business Intelligence Tools

Job description

• 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