Job Requirements Education:

Bachelor's Degree in Data Science, Statistics, Computer Science, Information Systems, or a related field or equivalent experience.

Experience:

Generally, a minimum of 3 years of experience in data analytics, reporting or a related field. Previous experience in the insurance industry preferred. Completion of or continuing progress toward a certification in area of expertise preferred; appropriate certifications could include an Associate Insurance Data Manager (AIDM), or Certificate in General Insurance (INS).

Scope of Job/Qualifications:

Performs work under moderate supervision. Relies on limited experience and judgment to plan and accomplish goals. Proficiency in analyzing data sets and identifying patterns, trends, and insights. Proficiency in reporting and data analysis tools ( Cognos , Excel, SQL, Tableau, Power BI, etc.) and familiarity with scripting languages. Develops and maintains knowledge of data sources content and structure to assess the quality of data. General knowledge of data extraction, transformation, and loading (ETL) processes. Develops understanding of industry products/coverages and applies that knowledge to support business activity. Strong analytical skills and attention to detail. Strong communication skills with the ability to explain data insights to non-technical stakeholders.

Company:

NIIC National Interstate Insurance Company Benefits:

We offer competitive benefits packages for full-time and part-time employees•. Full-time employees have access to medical, dental, and vision coverage, wellness plans, parental leave, adoption assistance, and tuition reimbursement. Full-time and eligible part-time employees also enjoy Paid Time Off and paid holidays, a 401(k) plan with company match, an employee stock purchase plan, and commuter benefits. Compensation varies by role, level, and location and is influenced by skills, experience, and business needs. Your recruiter will provide details about benefits and specific compensation ranges during the hiring process.

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