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Key Responsibilities:
- Work with business departments to understand processes and needs, using data sources and statistical algorithms for project work.
- Extract, transform, and load large structured and unstructured data, applying manipulation techniques to prepare data for analysis.
- Create reports, graphs, and charts via dashboards and MS Excel, supporting automated procedures to improve efficiency.
Qualifications:
- Bachelor's degree in math, statistics, computer science, or related field; Master's or ACAS preferred.
- At least 2 years of experience in data mining and statistical analysis, with SQL and statistical software (Python, R, SAS).
- Skills in predictive modeling, machine learning, optimization, and cloud-based analytics environments.
Company Culture:
- We encourage growth, have fun, and work together to achieve goals, embracing diverse perspectives and inclusivity.
- We reward talent with competitive salary, bonus potential, and benefits to support health, retirement, and professional goals.
- We are an equal opportunity employer, valuing all qualified applicants regardless of background.
Mercury Insurance
Mercury Insurance helps people reduce risk and overcome unexpected events. With over 60 years in the industry, they are a midsize employer recognized as one of America's Best Midsize Employers for 2026, fostering a collaborative and inclusive culture.