FBS - Predictive Analyst II

Description

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 Role We 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 Do Contribute to the development and implementation of predictive analytics to support key business decisions

Apply statistical and analytical techniques to build models and generate actionable insights

Develop and maintain data pipelines, ETL processes, and data transformations to support analytics workflows

Perform data extraction, preparation, and integration across multiple sources, ensuring data quality and reliability

Use SQL and programming tools (Python, R) to analyze large datasets and create analytical solutions

Evaluate model performance and contribute to ongoing enhancements and optimization

Design reports and visualizations to communicate insights and track performance metrics

Conduct ad-hoc analyses to support emerging business questions and priorities

Partner with business stakeholders and communicate findings effectively to both technical and non-technical audiences

Build 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 methodologies

Operate with a high degree of autonomy, proactively building relationships and driving initiatives forward in a fast-evolving environment

Requirements

3+ years of experience in data analytics, predictive analytics, or a related field

Bachelor’s degree in a quantitative field (e.g., Mathematics, Statistics, Computer Science, Engineering or similar); Master’s degree is a plus

Background in insurance industry is strongly preferred (pricing, underwriting, claims), but not mandatory

Actuarial knowledge or qualification is a plus

Strong hands-on experience with:

SQL (advanced)

ETL and data pipeline development (advanced)

Working knowledge of:

Python and/or R (intermediate)

Familiarity with data warehousing solutions such as Snowflake is a plus

Understanding of predictive modeling concepts and statistical analysis

Strong analytical thinking and attention to detail

Ability to work independently with minimal guidance in an unstructured, evolving environment

Curiosity and ownership to understand data sources, systems, and business context end-to-end

Excellent communication skills, with the ability to clearly present insights and “tell the story behind the data”

Relationship-building mindset, proactively engaging stakeholders across functions

Adaptability and comfort working in a fast-paced, startup-like environment within a larger organization

Experience working with finance or enterprise datasets is a plus

Exposure to executive-level presentations or stakeholder engagement is highly valued

Benefits

Competitive compensation and benefits package:

Comprehensive benefits package

Career development and training opportunities

Flexible work arrangements

Dynamic and inclusive work culture within a globally renowned group

Private Health Insurance

Pension Plan

Paid Time Off

Training & Development

Note: Benefits differ based on employee level.