Insurance Data Analyst

Placements24; Riverton (UT); Hybrid; USD 85,000 - 110,000; Full time

Benefits offered by this job

Competitive salary

Health benefits

Retirement plan

Paid time off

Hybrid work arrangement

Professional development

Access to advanced analytics tools

Collaborative environment

Job summary

Placements24 in Utah seeks an Insurance Data Analyst to derive actionable insights from large datasets spanning claims, policies, and market trends. The role blends remote data analysis with collaborative office sessions in a hybrid setup, supporting decision-making across underwriting, claims, marketing, and finance.

You will collect, clean, and analyze data, build predictive models, and develop dashboards, ensuring data quality and governance while staying current with analytics tools and

Qualifications

• Bachelor’s degree in a quantitative field (Statistics, Mathematics, CS, Economics) or equivalent.
• Minimum 3 years as a data analyst in insurance/financial services preferred.
• Proficiency with SQL and at least one of Python or R.
• Experience creating dashboards in Tableau, Power BI or similar.
• Strong statistical knowledge and problem-solving skills.
• Excellent communication and ability to translate data insights to business teams.
• Familiarity with insurance data structures and metrics is a plus.
• Ability to work in a hybrid environment with both independent and collaborative tasks.
• Experience with big data technologies is advantageous.

Responsibilities

• Collect, clean, and process data from internal and external sources.
• Develop data analysis methodologies to identify trends and correlations.
• Create dashboards and reports to communicate findings to stakeholders.
• Analyze policy, claims, and customer data to identify opportunities for improvement.
• Perform statistical analysis to support pricing, marketing, and operations.
• Collaborate with underwriting, claims, marketing, and finance to meet data needs.
• Develop predictive models to forecast trends like claims volume and retention.
• Ensure compliance with data privacy and governance policies.
• Stay updated on data analysis tools and industry best practices.
• Contribute to data infrastructure and reporting capabilities.

Skills

SQL

Python

R

Data analysis

Education

Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or related quantitative field

Tools

Tableau

Power BI

Job description

About the Role

Our client, a data-driven insurance firm, is seeking a skilled Insurance Data Analyst to join their analytical team. This role is crucial for deriving actionable insights from complex datasets to inform business strategy and improve operational efficiency within the insurance domain. The position offers a hybrid work arrangement, combining remote analysis with collaborative office sessions. You will be responsible for collecting, cleaning, analyzing, and interpreting large volumes of data related to claims, policyholders, market trends, and financial performance. Your insights will directly influence decision-making across various departments, contributing to the company's competitive edge.

Key Responsibilities

• Collect, clean, and process data from various internal and external sources, ensuring data integrity and accuracy.
• Develop and implement data analysis methodologies to identify trends, patterns, and correlations.
• Create dashboards, reports, and visualizations to communicate complex data findings to both technical and non-technical stakeholders.
• Analyze insurance policy data, claims data, and customer behavior to identify opportunities for product improvement, risk mitigation, and cost reduction.
• Perform statistical analysis to support business decisions, such as pricing strategies, marketing campaigns, and operational improvements.
• Collaborate with business units (e.g., underwriting, claims, marketing, finance) to understand their data needs and provide analytical support.
• Develop predictive models to forecast future trends, such as claim volumes, customer retention, and financial outcomes.
• Ensure compliance with data privacy regulations and company data governance policies.
• Stay updated on the latest data analysis tools, techniques, and industry best practices.
• Contribute to the development of data infrastructure and reporting capabilities.

Requirements

• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• Minimum of 3 years of experience as a Data Analyst, preferably within the insurance or financial services industry.
• Strong proficiency in data manipulation and analysis using SQL, Python, or R.
• Experience with data visualization tools such as Tableau, Power BI, or similar.
• Solid understanding of statistical concepts and methods.
• Excellent analytical and problem-solving skills, with a keen attention to detail.
• Effective communication and presentation skills, with the ability to translate technical findings into business insights.
• Familiarity with insurance data structures and common industry metrics is a strong plus.
• Ability to work effectively in a hybrid environment, managing tasks both independently and collaboratively.
• Experience with big data technologies is advantageous.

Benefits

• Competitive salary commensurate with experience and skills.
• Comprehensive health and wellness benefits package.
• Retirement savings plan with company contributions.
• Paid time off and annual leave.
• Hybrid work arrangement offering flexibility and work-life balance.
• Opportunities for continuous learning and professional development in data analytics.
• Access to advanced analytical tools and technologies.
• A collaborative and innovative work environment.