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Insurance Claims Analyst Job in Columbus, Ohio US

Insurance Claims Analyst


Posted: 1/15/2022 - Expires: 2/14/2022

Job ID: 236137462


Job Description

Job Description

About OnStar Insurance

OnStar Insurance was launched in 2020 and will soon be available in all US states. We are disrupting auto insurance by integrating insurance into the vehicle experience from shopping to price to claims. This disruption is backed by the bold GM vision of zero crashes, zero emissions and zero congestion.

GM has the largest connected vehicle fleet worldwide with over 10M connected GM vehicles on the road in the US today. That number is projected to triple in the next 10 years. More than that, we currently have access to thousands of data points from and about the vehicle. This surge in information about vehicles and how they are driven will revolutionize auto insurance.

This is a truly unique opportunity to join at the foundational stage of a start-up leading the transformation of the auto insurance experience powered by the largest connected vehicle fleet in the world. If you share our vision of making auto insurance fairer and more transparent, and increasing customer value through personalized experiences, then OnStar Insurance is the place for you! At OnStar Insurance, your contributions will directly impact the customer and achieving our mission.

Our Culture

Our goal at OnStar Insurance is to transform the auto insurance industry. Building an amazing culture for our associates is key to our success. We are focused on creating a culture that motivates and enables our diverse and talented associates to perform their best.

Job Description

As a data analytics professional at OnStar Insurance, your role is to drive business decisions from actionable insights. To accomplish these goals, you will frame data in terms of business questions, turn data into insights, and insights into actionable deliverables. You accomplish these goals by leveraging both strong business acumen and understanding of data. You are expected to be proficient in querying, investigating, transforming, analyzing, and visualizing a variety of types of data using a variety of analytical methods and tools. If you're passionate about technology, love to learn, enjoy collaborating cross-functionally, and are excited to work with marketing, operations, telematics, and claims data, this is a great opportunity to grow your skills and make a difference.

Prior analytics experience with personal lines insurance marketing, product, pricing/ratemaking, underwriting, claims, digital experience, and/or operations is a big plus. We also provide support for any candidates pursuing the Casualty Actuarial Society credential.

This is a remote position. The selected candidate can reside and perform the work from anywhere within the United States.

Key Responsibilities

* Collaborates with leaders and stakeholders to understand business issues, frames issues in terms of data, analyzes business or project performance using statistical methods or data visualization, and creates ad-hoc reports to share findings and recommendations
* Identifies, develops, and implements data strategy across disparate systems and experiences in collaboration with business and technology teams
* Performs testing and validation of data sets
* Leverages wide range of statistical methodologies and data to tackle business problems
* Documents analysis and communicates effectively to non-technical audience
* Serves as a "trusted advisor" to product, business intelligence, data science, IT, and other teams on the use and analysis of data
* Thrives in reciprocal environments with leaders and managers to resolve and address ad-hoc data and reporting needs

Job Qualifications

* Bachelor's degree or equivalent experience in mathematics, data science, computer science, information technology, statistics, or other quantitative field
* Demonstrated eApply here:

Job Summary

Employment Type:
Full Time Employee
Job type:
Regular Employment
Skill Based Partner:
Education Level:
No school grade completed
Work Days:
Mon, Tue, Wed, Thu, Fri
Job Reference Code
Licenses / Certifications:
Display Recommended WorkKeys®Recommended WorkKeys®:
Applied Math: 4
Graphic Literacy: 5

Workplace Documentation: 5