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8 days ago
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Requirements and responsibilities
Farmers Insurance is one of the United States’ largest insurers, providing a wide range of insurance and financial services products with gross written premiums well over US$25 Billion (P&C). They proudly serve more than 10 million U.S. households with more than 19 million individual policies across all 50 states through the efforts of over 48,000 exclusive and independent agents and nearly 18,500 employees. Finally, Farmers Insurance is part of one the largest Insurance Groups in the world.About the RoleWe are seeking a Predictive Analytics Analyst (Early Career) to join a newly formed team focused on enabling faster, more accurate, and forward-looking financial decision-making across Finance. This team brings together trusted data, advanced analytics, automation, and AI-driven insights to shape business outcomes and elevate decision quality at the highest levels of the organization.This role offers a unique opportunity to be part of a function being built from the ground up. You will operate in an environment with high visibility and direct exposure to senior leadership, including the CFO and executive stakeholders. Success in this role requires a proactive, self-starting mindset, the ability to navigate ambiguity, and a strong willingness to build, influence, and shape processes from scratch.What You’ll DoContribute to the development and implementation of predictive analytics to support key business decisionsApply statistical and analytical techniques to build models and generate actionable insightsDevelop and maintain data pipelines, ETL processes, and data transformations to support analytics workflowsPerform data extraction, preparation, and integration across multiple sources, ensuring data quality and reliabilityUse SQL and programming tools (Python, R) to analyze large datasets and create analytical solutionsEvaluate model performance and contribute to ongoing enhancements and optimizationDesign reports and visualizations to communicate insights and track performance metricsConduct ad-hoc analyses to support emerging business questions and prioritiesPartner with business stakeholders and communicate findings effectively to both technical and non-technical audiencesBuild strong understanding of the enterprise data landscape, including finance and insurance data domains (pricing, underwriting, claims)Contribute to continuous improvement of analytics processes, tools, and methodologiesOperate with a high degree of autonomy, proactively building relationships and driving initiatives forward in a fast-evolving environmentRequirements3+ years of experience in data analytics, predictive analytics, or a related fieldBachelor’s degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Engineering or similar); Master’s degree is a plusBackground in insurance industry is strongly preferred (pricing, underwriting, claims), but not mandatoryActuarial knowledge or qualification is a plusStrong hands-on experience with: SQL (advanced) and ETL and data pipeline development (advanced)Working knowledge of: Python and/or R (intermediate)Familiarity with data warehousing solutions such as Snowflake is a plusUnderstanding of predictive modeling concepts and statistical analysisStrong analytical thinking and attention to detailAbility to work independently with minimal guidance in an unstructured, evolving environmentCuriosity and ownership to understand data sources, systems, and business context end-to-endExcellent communication skills, with the ability to clearly present insights and “tell the story behind the data”Relationship-building mindset, proactively engaging stakeholders across functionsAdaptability and comfort working in a fast-paced, startup-like environment within a larger organizationExperience working with finance or enterprise datasets is a plusExposure to executive-level presentations or stakeholder engagement is highly valuedBenefitsCompetitive compensation and benefits package:Comprehensive benefits packageCareer development and training opportunitiesFlexible work arrangementsDynamic and inclusive work culture within a globally renowned groupPrivate Health InsurancePension PlanPaid Time OffTraining & DevelopmentNote: Benefits differ based on employee level.
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