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Central Mutual Insurance Company

Senior Data Analyst

Central Mutual Insurance Company, Dublin, Ohio, United States, 43016


6620 Mooney St, Dublin, OH 43017, USA

Req #998Friday, September 27, 2024The Data Science Center of Excellence Team at Central is looking for a passionate data analyst to drive data-driven insights in support of our business stakeholders at Central.Our team provides analytical solutions that support claims, services, and marketing. As a

Data Analyst,

you will work closely with cross-functional partners to analyze complex datasets, identify trends, and support strategic decision making.If you have a passion for data, an eye for detail, and the ability to transform raw data into actionable insights, we would love to have you join our team.How You Will Make an ImpactAnalyzes large, complex data sets to identify trends, patterns, and opportunities that inform business decisions.Provides actionable insights that drive customer service, claims management, customer segmentation, and other key insurance functions.Designs and executes rigorous studies to measure the causal impact of business initiatives on key metrics, such as loss ratios, bind ratio and customer acquisition costsLeverages geospatial data and analytics to gain insights into customer behavior, market trends, and geographical areas for expansion and risk assessment.Utilizes optimization techniques to improve operational efficiency, streamline processes, and identify cost-saving opportunities.Works closely with cross-functional teams, including data scientists, product managers, and business leaders, to understand data needs and provide analytical support.Communicates 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.Utilizes statistical techniques, predictive modeling, and machine learning to analyze data and solve complex business problems.Collaborates with data engineers to ensure data quality, integrity, and accessibility for analysis.What You Will DoMasters 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 analysisOr 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 skillsAbility to work both independently and in a team environment with internal /external customersStrong organizational, planning & problem-solving skillsAbility to communicate with stakeholders and business partnersAbility to understand Central Insurance’s policies and processesPreferredProven experience in analyzing complex data sets and delivering actionable insights that drive business value.Data Analytics experience in the insurance industryWork AuthorizationCentral 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 EmployerIt is the policy of Central 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. The applicant should respond to questions on this application in a way that will not divulge such information. #LI-Hybrid #LI-AS1

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