Research and Development Analyst

Jobtailor; Bethesda (MD); On-site; USD 90,000 - 120,000; Full time

Job summary

Jobtailor is seeking an experienced R&D Analyst in Bethesda, MD to drive data-driven insurance innovations. You will build models, analyze data, and collaborate across underwriting, claims, marketing, and IT to advance business goals.

The role requires advanced degrees or equivalent experience in statistics or related fields, strong R/SAS/SQL skills, and familiarity with cloud databases and Excel. Hybrid or on-site options may apply.

Qualifications

• Master's degree or higher in Statistics, Mathematics, Data Science, Economics, OR related quantitative fields.
• PhD degree in Statistics, Mathematics, Data Science, Economics, OR related quantitative fields.
• In lieu of PhD: Master's degree in stated fields and minimum 2 years analytical experience.
• Proficient in R.
• SAS SQL knowledge.
• Cloud database knowledge.
• Proficient in Excel VLOOKUP, pivot tables, charts.
• Ability to analyze data using statistical, mathematical or data mining methods.
• Knowledge of insurance rating products and principles.
• Knowledge of Claims, UW, Marketing or Agent.
• Experience in process control and project management.
• Preferred: Proficient in Python.

Responsibilities

• Create and support multiple types of insurance products.
• Assist Underwriting, Claims, Marketing and Advertising departments in achieving business goals.
• Interact with commercial-grade databases in cloud or local environments.
• Generate large-scale data and translate it into business value.
• Perform data exploration and R&D research independently and collaboratively.
• Work with cross-functional business and technical teams on business and analytical innovation.
• Contribute to project-related communication.
• Try new modeling techniques and derive new metrics.
• Tackle complex questions in insurance industry innovation.

Skills

Statistical analysis

Data mining methods

Data exploration

Modeling techniques

Cross-functional collaboration

Communication

Python proficiency

Education

Master's degree in Statistics/Mathematics/Data Science/Economics/OR related fields

PhD in Statistics/Mathematics/Data Science/Economics/OR related fields

In lieu of PhD: Master's + 2 years analytical experience

Tools

R

SAS

SQL

Cloud databases

Excel (VLOOKUP, pivot tables)

Python

Job description

• Create and support multiple types of insurance products
• Assist Underwriting, Claims, Marketing and Advertising departments in achieving business goals
• Interact with commercial-grade databases in cloud or local environments
• Generate large-scale data and translate it into business value
• Perform data exploration and R&D research independently and collaboratively
• Work with cross-functional business and technical teams on business and analytical innovation
• Contribute to project-related communication
• Try new modeling techniques and derive new metrics
• Tackle complex questions in insurance industry innovation

Requirements

• R&D Analyst II: Master's degree or higher in Statistics, Mathematics, Data Science, Economics, Operation Research or related quantitative and analytics fields
• R&D Analyst III: PhD degree in Statistics, Mathematics, Data Science, Economics, Operation Research or related quantitative and analytics fields
• In lieu of PhD degree: Master’s degree in the stated quantitative or analytics fields and a minimum of 2 years of analytical experience
• Proficient in R
• SAS SQL knowledge
• Cloud database knowledge
• Proficient in Excel VLOOKUP, pivot tables, charts and graphing
• Ability to analyze data using statistical, mathematical or data mining methods
• Knowledge of insurance rating products and principles
• Knowledge of Claims, UW, Marketing or Agent
• Experience in process control and project management
• Preferred: Proficient in Python

Core Competencies

Demonstrates expertise in statistical analysis, data science, and quantitative research methodologies, with a strong focus on insurance industry innovation and cross-functional collaboration. Proficient in R, SAS SQL, and cloud database management, with the ability to translate complex data into actionable business insights.

Highest-signal resume keywords

• Master's Degree In Statistics
• Proficient In R
• SAS SQL Knowledge
• Cloud Database Knowledge
• Knowledge Of Insurance Rating Products

Hard Skills

• Statistical Analysis
• Data Mining Methods
• Data Exploration
• Modeling Techniques
• Process Control
• Project Management
• Excel VLOOKUP
• Pivot Tables
• Charts And Graphing
• Python Proficiency

Soft Skills

• Cross-Functional Collaboration
• Communication

Industry Keywords

• Insurance Products
• Underwriting
• Claims
• Marketing
• Business Goals

Tools & Technologies

• Commercial-Grade Databases
• Cloud Environments