182 applicants

Company

Pets Best Insurance Services, LLC · 19 hours ago

Senior Insurance Analytics

United States

Full-time

Remote

Mid, Senior Level

3+ years exp

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Insurance

Hiring Manager

Shannon Malone

Insider Connection @Pets Best Insurance Services, LLC

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Responsibilities

Conduct extensive analysis of performance trends and leverage analytics to examine product profitability.

Partner with Pets Best leadership team to deliver complex analytical projects from beginning to end, including ideation, data mining, strategic decision support, and presentation of results and recommendations.

Utilize SQL and/or Python to pull data from source systems and accurately assemble data sets; Use a variety of quantitative methods to understand and analyze data (e.g., regression, histograms, etc.).

Lead and maintain routine reporting processes (e.g., monthly, partner and prospective client) and automate processes while implementing Quality Control measures to ensure accuracy.

Lead efforts to enhance the dissemination of information via reporting tools (e.g., Tableau)

Support efforts to integrate Pets Best data into Synchrony’s data architecture.

Present complex analytical information to all levels of management in a clear and concise manner.

Integrate internal and external data into analysis for complete view of the business to drive strategic decision support and uncover new opportunities for growth.

Produce management level dashboards, ad hoc reporting, and analysis.

Work closely with Pets Best leadership team to improve business analytic and data gathering processes.

Perform other duties and/or special projects as assigned.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

SQLPythonTableauData analysisStatistical toolsMS ExcelData manipulationDecision treesK-means clusteringLogistic regressionRandom forestGradient boosting

Required

Bachelor's degree in STEM or related quantitative field. In lieu of degree, a high school diploma and 7+ years of analytics work experience in the financial services, insurance, credit card and/or payment industries.

3+ years of progressive work experience including 3+ years of insurance industry experience in analytics or operations, 2+ years of experience in analytics, and 1+ years of experience with statistical tools such as Python, SQL, and Tableau

Demonstrated coding ability in SQL, Python and Tableau

Preferred

Demonstrated ability to navigate complex data tables/structures

Demonstrated proficiency in MS Excel (e.g., pivot tables, filters, database functions, VBA, etc.)

Exposure to R is a plus

Advanced degree with emphasis in Statistics, Mathematics, Economics, Decision Science, Operation Research, Engineering or another quantitative field preferred

Experience managing, moving, and manipulating data from multiple sources

Experience with segmentation techniques such as decision trees or k-means clustering

Experience with model development techniques such as logistic regression, random forest, or gradient boosting is a plus

Excellent organization skills and strong attention to detail

Strong leadership, analytic, and problem-solving skills and ability to manage multiple projects and priorities

Familiarity with consumer and commercial lending products and practices

Ability to provide analytic support including pulling data, preparing analysis, interpreting data, making strategic recommendations, and presenting to client/product teams

Experience measuring marketing campaigns and interpreting results

Ability to clearly explain technical and analytical information (verbally, written, and in presentation form) and summarize for key stakeholders

Outstanding communications, relationship building, influencing, and collaboration skills