Lead Research & Development Analyst

GEICO•Bethesda, MD

8d•$119,850 - $160,000•Hybrid

About The Position

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive on relentless innovation to exceed our customers' expectations while making a real impact on local communities nationwide. Founded in 1936, GEICO is a member of the Berkshire Hathaway family of companies and one of the largest auto insurers in the United States. When you join our company, we want you to feel valued, supported, and proud to work here. That's why we offer the GEICO Pledge: Great Company, Great Culture, Great Rewards, and Great Careers.

Requirements

Bachelor’s degree in Statistics, Math, Data Sci, Economics, Comp Sci, Operations Research, related Engineering field, or other related quantitative or analytics field. Five (5) years of related analytical experience.
Requires 3 years experience in: SAS SQL, Cloud database, R, Excel v-look-up, pivot tables, charts and graphing, insurance rating products and principles, and analyzing data using statistics, mathematical or data mining methods.
Requires 2 years experience in: process control, project management, and claims, underwriting, marketing or agent.
Required experience and skills can be gained concurrent with academic studies.
OR Master’s degree in Statistics, Math, Data Sci, Economics, Comp Sci, Operations Research, related Engineering field, or other related quantitative or analytics field. Three (3) years of related analytical experience.
Requires 3 years experience in: SAS SQL, Cloud database, R, Excel v-look-up, pivot tables, charts and graphing, insurance rating products and principles, and analyzing data using statistics, mathematical or data mining methods.
Requires 2 years experience in: process control, project management, and claims, underwriting, marketing or agent.
Required experience and skills can be gained concurrent with academic studies.

Responsibilities

Prepares and reviews statistical exhibits used for analyses and makes projections.
Prepares and reviews statistics for internal management information reports, such as those covering marketing, sales, competitive and loss information.
Completes product development packages analyzes large and complex datasets to develop product changes.
Develops and implements favorable business solutions.
Maintains, updates, redesigns and develops data sources and regular information sources.
Checks and balances data sources for reasonability.
Organizes various data primarily through personal computing, using languages such as R, Python, SAS, EXCEL, SQL and other modeling tools.
Assists new analysts in updating existing predictive models, reports or data pulls with limited changes.
Creates new models, reports and data pulls.
Presents observations of analyses to supervisor and other department staff.
Performs specialized research on projects using advanced analytical techniques.
Leads and provides expertise to Research and Development associates in order to develop strategies for new and complex analyses.
Automates current processes to improve department efficiency.
Designs data requirements, testing databases and experience reports.
Assists in coordination with IT on requested systems changes.
Acts as subject matter expert in at least one area.
Develops and maintains existing data and information sources for the unit.
Investigates new data sources to be used by the unit and department.
Organizes various data primarily through personal computing, using appropriate programming languages.
Manages complex data pulls and large dataset extractions.
Investigates new tools to assist in analyses.
Conducts analytical projects supporting mid to high level business problems or product features.
Employs basic statistical techniques to model various business practices.
Takes ownership of low complexity business problems, plan items and product features.
Develops and conducts training sessions for the Research and Development unit.
May undergo background checks.
May require pre-hire technical screen.