Farmers Insurance Careers-posted 2 months ago
$126,240 - $224,750/Yr
Full-time • Mid Level
5,001-10,000 employees

This position provides critical decision support for Farmers Independent Agency Distribution team across the enterprise by gathering, analyzing, and synthesizing data to address business challenges. The role applies advanced or innovative mathematical, statistical, and quantitative techniques to draw conclusions and deliver actionable recommendations that drive efficiency, growth, and profitability. It interprets large datasets to extract meaningful insights and trends then communicates findings to business partners and leadership to support informed decision-making. The role mentors, trains, and coaches less experienced team members and supervises direct reports who are individual contributors or people leaders with small span of control. The position performs work independently while receiving guidance and coaching in only the most complex situations.

  • Leads discussions with cross-functional business partners and teams to understand and collaborate on complex business objectives.
  • Shapes solution strategies and outcomes by leveraging broad knowledge of the business and overseeing collaboration across teams to ensure alignment and effectiveness.
  • Uses breadth of expertise in data analysis to deliver insights that enable informed decision-making.
  • Develops and implements advanced or innovative mathematical, statistical, and quantitative techniques to solve medium-to-large scale business problems.
  • Leads the creation of descriptive or explanatory models and oversees effective use of them.
  • Analyzes large datasets to identify trends, patterns, and business opportunities.
  • Leverages interactive data visualization tools and statistical techniques to uncover hidden insights.
  • Conducts comprehensive exploratory data analysis (EDA) to uncover opportunities including testing hypotheses and validating findings.
  • Coordinates with cross-functional technical teams to ensure data integrity and optimize data pipelines.
  • Identifies data quality issues and collaborates to resolve them.
  • Assists deployment and monitoring of complex-to-highly complex predictive models into workflows.
  • Leads the transformation of technical data insights into communications and presentations for non-technical business partners.
  • Oversees the collection and integration of data from a variety of sources and transforms disparate datasets into cohesive datasets for analysis.
  • Assesses data quality and implements data hygiene techniques to ensure accuracy and consistency.
  • Leads data reliability efforts by managing data quality checks and documentation processes.
  • Supervises, guides, coaches, and manages the performance of direct reports.
  • Delivers regular feedback and supports professional development.
  • Stays informed about emerging decision and data science methodologies, tools, and best practices.
  • Performs other duties as assigned.
  • Minimum seven years of work experience required in data analysis, statistical or mathematical modeling, or related.
  • Experience in a people leader or management role required.
  • Experience in insurance industry with independent agency data preferred.
  • High School Diploma or equivalent required.
  • Bachelor's degree required in data science, statistics, mathematics, business analytics or related.
  • Strong verbal communication and listening skills.
  • Advanced storytelling skills with ability to communicate complex data insights clearly.
  • Demonstrated written communication skills.
  • Demonstrated analytical skills.
  • Strong ability to craft strategic business plans and translate them into actionable steps.
  • Proven ability to drive strategic enablement and contribute to enterprise strategic plans.
  • Demonstrated problem solving skills.
  • Excellent collaboration and team building skills.
  • Ability to influence internal and/or external constituents.
  • Demonstrated ability to explain strategic concepts to those unfamiliar with them.
  • Possesses flexibility to work in a fast paced, dynamic environment.
  • Possesses solid project management skills.
  • Possesses strong technical aptitude.
  • Proficient in Microsoft Office suite.
  • Strong proficiency in applying advanced statistical and machine learning concepts and tools.
  • Broad knowledge of data analysis and manipulation tools (SQL, Python, SAS, R, and/or Snowflake).
  • Broad knowledge of data visualization tools (example, Tableau, Power BI).
  • Competitive salary commensurate with experience, qualifications and location.
  • Bonus Opportunity (based on Company and Individual Performance)
  • 401(k)
  • Medical
  • Dental
  • Vision
  • Health Savings and Flexible Spending Accounts
  • Life Insurance
  • Paid Time Off
  • Paid Parental Leave
  • Tuition Assistance
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