Senior Data Analyst
4 weeks ago
Central Mutual Insurance Company is seeking a highly skilled Data Analyst to join our Data Science Center of Excellence Team. As a Data Analyst, you will play a critical role in driving data-driven insights to support business stakeholders across the organization.
Key Responsibilities:
- Analyze large, complex data sets to identify trends, patterns, and opportunities that inform business decisions.
- Provide actionable insights that drive customer service, claims management, customer segmentation, and other key insurance functions.
- Design and execute rigorous studies to measure the causal impact of business initiatives on key metrics, such as loss ratios, bind ratio, and customer acquisition costs.
- Leverage geospatial data and analytics to gain insights into customer behavior, market trends, and geographical areas for expansion and risk assessment.
- Utilize optimization techniques to improve operational efficiency, streamline processes, and identify cost-saving opportunities.
- Work closely with cross-functional teams, including data scientists, product managers, and business leaders, to understand data needs and provide analytical support.
- Communicate complex data insights in a clear and concise manner to non-technical stakeholders.
- Presents findings and recommendations to senior management, supporting data-driven decision-making across the organization.
- Utilize statistical techniques, predictive modeling, and machine learning to analyze data and solve complex business problems.
- Collaborate with data engineers to ensure data quality, integrity, and accessibility for analysis.
Requirements:
- Masters degree in Data Science, Statistics, Mathematics, Economics, or a related field.
- Or Bachelors Science, Statistics, Mathematics, Economics, or a related field and 2 years experience in data analysis.
- Or 4 years experience in data analysis.
- Proficiency in data analysis tools and languages such as SQL, Python, R, and Excel.
- Strong experience with data visualization tools (e.g., Tableau, Power BI) and creating interactive dashboards.
- Familiarity with insurance industry data sources, including policy, claims, and customer data.
- Deep understanding of insurance industry concepts, including underwriting, claims, pricing, and risk assessment.
- Experience working with pricing models, or other insurance-specific analytical tools is a plus.
- Strong analytical skills with the ability to interpret complex data and provide clear, actionable insights.
- Ability to identify and solve business problems using data-driven approaches.
- Experience with statistical modeling, predictive analytics, or machine learning techniques is an advantage.
- Strong analytical and problem-solving skills.
- Ability to work both independently and in a team environment with internal/external customers.
- Strong organizational, planning, and problem-solving skills.
- Ability to communicate with stakeholders and business partners.
- Ability to understand Central Mutual Insurance Company's policies and processes.
Preferred:
- Proven experience in analyzing complex data sets and delivering actionable insights that drive business value.
- Data Analytics experience in the insurance industry.
Work Authorization:
Central Mutual Insurance Company will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1 (including those with OPT or CPT), H-1, H-2, L-1, B, J, or TN, or who need sponsorship for work authorization now or in the future, are not eligible for hire.
Equal Opportunity Employer:
It is the policy of Central Mutual Insurance Company that all recruiting, hiring, training, compensation, overtime, job classification, and assignment, facilities, promotions, transfers, employee treatment, and all other terms and conditions of employment shall be maintained in a manner which will not discriminate against any person because of race, color, age, sex, national origin, ancestry, religion, marital status, military status, or disability.
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