Analytics Analyst II

Encova Insurance•Columbus, OH

2d•$77,450 - $123,921•Hybrid

About The Position

The salary range for this job posting is $77,450.00 - $123,921.00 annually + bonus + benefits. Pay Type: Salary The above represents the full salary range for this job requisition. Ultimately, in determining your pay and job title, we'll consider your location, education, experience, and other job-related factors, and will fall within the stated range. Your recruiter can share more information about the specific salary range during the hiring process. We are looking for a modeling-focused analyst to lead and support commercial lines predictive modeling initiatives. Responsibilities include model development, variable engineering, data preparation, statistical analysis, model validation, deployment, performance monitoring, and ongoing enhancement of pricing and underwriting models. Experience with insurance rating, profitability analysis, and predictive modeling techniques is strongly preferred. We are open to hiring at an Analytics Analyst II or III level. Posted compensation range is for Analytics Analyst II only. This will be a hybrid role with in office expectation each week at our corporate office in Columbus, Ohio. Are you a Referral? If you know a current Encova Insurance associate and would like to apply as a referral, please encourage them to submit your referral information before you submit your application. You will receive an email with a direct URL link to the Job Posting of interest. Applying through this URL link will create your referral relationship for our Talent Acquisition Team. Unique residence requirements are listed in each job posting, please review closely for details. Encova is only able to employ associates who reside and work within specific U.S. states. Our current policies are based on the laws in states in which we are registered for payroll. Our current footprint includes: Connecticut, Delaware, Florida, Georgia, Illinois, Indiana, Iowa, Kentucky, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nebraska, New Hampshire, New Jersey, North Carolina, Ohio, Pennsylvania, South Carolina, Tennessee, Texas, Virginia, West Virginia, Wisconsin.

Requirements

Candidate must have B.A. or B.S. with major in mathematics, statistics, economics, actuarial science, or computer science. Other majors may be acceptable depending on mathematics background.
Strong written and verbal communication skills are required.
Strong analytical and problem-solving skills are required.

Nice To Haves

Advanced degree preferred.
A minimum of four years of experience in insurance or banking industry in a technical role (actuarial, marketing research, etc.) is preferred.
Experience in working with large data sets using SQL and/or SAS and in conducting regression analyses using SAS, R, or other statistical software is preferred.
Knowledge of insurance terminology and ratemaking is preferred.
Experience with data visualization software (Tableau) preferred.

Responsibilities

Act as internal consultant for business partners throughout the enterprise to enable better business decisions by collecting and integrating appropriate data, building statistical models, and designing solutions for predicting and monitoring the impact of business decisions.
Meet with internal analytics consultants or business partners to understand analytics needs and propose solutions.
Active understanding of available internal and external data sources, and identify, collect, and integrate data needed to address business problems.
Create reports or data views to support business partners.
Build predictive models (linear and non-linear regression, decision trees, etc.) of consumer behavior (loss costs, marketing response, conversion, fraud, etc.) or other relevant target variables.
Create new solutions or enhance existing tools to simulate and monitor the impact of business decisions.
Developing skills in prioritizing, organization, decision making, time management and verbal/written communication skills.
Ability to establish priorities, work independently, and proceed with objectives without supervision.
Provide clear documentation as part of governance processes.
Work closely with Data Services unit to maximize value of existing solutions and provide guidance on incorporating new elements.
Ad hoc analyses or reporting to support business partners.
Improve data extractions and processes that relate to essential functions.
Perform other duties as assigned.