Analytics Analyst

Encova•Columbus, OH

4d•Hybrid

About The Position

The Analytics Analyst is responsible for building, maintaining, and analyzing large-scale datasets that support pricing models and strategic decision-making across property and casualty insurance products. This role focuses heavily on data engineering, dataset design, and analytical modeling support—serving as a critical bridge between raw insurance data and actionable pricing insights. The analyst partners closely with actuarial, product, underwriting, and analytics teams to ensure pricing models are built on accurate, well-structured, and scalable data. We are open to hiring at multiple seniority levels for this position, including Analytics Analyst I, II, and III depending on candidate qualifications and experience. The posted compensation range is for the Analytics Analyst II level only. If your qualifications and experience better match another seniority level, this will be discussed further during the interview process. This is a hybrid work model and requires days in office each week. We are open to hiring for either our Columbus, Ohio or Charleston, WV offices and you must reside within a commuting distance to either. 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, Kansas, 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.
Experienced 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.