WE ARE FARMERS!

We are… more than just your favorite commercials. At Farmers, we strive to deliver peace of mind to our customers by providing protection and comprehensive advice and delivering in the moments of truth. That means having people who can help us meet changing customer and business needs. Farmers high-performance culture is focused on results and the people who achieve them. We hold ourselves and others accountable for sustainably growing the business and each other. We seek solutions, own our actions, and grow through discomfort. We see setbacks as opportunities while continuously asking ourselves how we impact our customers.
Farmers is an award winning, equal opportunity employer, committed to the strength of a diverse workforce. We are dedicated to supporting the well-being of our people through our extensive suite of benefits, as well as the well-being of the communities we serve through employee volunteer programs and nonprofit partnerships. Helping others in their time of need isn’t just our business – it’s our culture! To learn more about our high-performance culture and open opportunities, check out www.Farmers.com/careers/corporate and be sure to follow us on Instagram, LinkedIn, and TikTok.
Workplace:
Farmers believes in a culture of collaboration, creativity, and innovation, which thrives when we have the ability to work flexibly in a virtual setting as well as the opportunity to be together in person. Our hybrid work environment combines the best of both worlds with at least three (3) days in office and up to two (2) days virtual for employees who live within fifty (50) miles of a Farmers corporate office. Applicants beyond fifty (50) miles may still be considered.

JOB SUMMARY

This position provides critical decision support across the enterprise by gathering, analyzing, and synthesizing data to address business challenges. The role applies advanced 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 may informally mentor or train less experienced team members to support their work quality and encourage peer learning but has no supervisory responsibilities. The position performs work independently while receiving minimal guidance and coaching.

EDUCATIONYOU’LL NEED

• High School Diploma or equivalent required.
• Bachelors degree preferred in data science, statistics, mathematics, business analytics or similar.
• Equivalent work experience may be considered in lieu of degree.

ADDITIONAL QUALIFICATIONS

• Strong verbal communication and listening skills. Strong storytelling skills with ability to communicate complex data insights clearly to technical and non-technical audiences.
• Demonstrated written communication skills.
• Demonstrated analytical skills. Demonstrated problem solving skills.
• Effective interpersonal skills.
• Ability to influence internal and/or external constituents.
• Seeks to acquire knowledge in area of specialty.
• Demonstrated time management and priority setting skills. Able to handle shifting priorities.
• Possesses strong technical aptitude. Proficient in Microsoft Office suite. Strong proficiency in applying advanced statistical and machine learning concepts and tools. In-depth knowledge of data analysis and manipulation tools (SQL, Python, SAS, R, and/or Snowflake). In-depth knowledge of data visualization tools (example, Tableau, Power BI). Proficiency in working with datasets including data wrangling and data munging. Able to adapt quickly to new technologies.

• Applies advanced mathematical, statistical, and quantitative techniques to solve medium-to-large scale business problems that significantly impact current and future business strategies. Builds descriptive or explanatory models or uses the output of models created by others.
• Analyzes large datasets to identify trends, patterns, and business opportunities. Leverages interactive data visualization tools and statistical techniques such as distribution analysis, correlation analysis, outlier detection, multivariate analysis, time series, machine learning, and others to uncover hidden insights. Conducts thorough and robust exploratory data analysis (EDA) to uncover opportunities including testing hypotheses and validating findings with business partners.
• Leads projects with cross-functional business partners and teams to understand and collaborate on complex business objectives. Influences solution strategies and outcomes by leveraging in-depth knowledge of the business. Uses practical experience in data analysis to provide insights that support decision-making.
• Coordinates with cross-functional technical teams including IT, data scientists, data engineers and others to ensure data integrity and optimize data pipelines. Identifies data quality issues and collaborates to resolve them. Assists deployment and monitoring of complex predictive models into workflows.
• Transforms technical data insights into communications and presentations for non-technical business partners and leadership to ensure data-driven insights and recommended action plans are easily understandable. Uses intermediate storytelling approaches to make complex information more accessible and actionable.
• Collects data from a variety of sources and integrates and transforms disparate datasets to create cohesive datasets for analysis. Assesses data quality and applies data hygiene techniques to ensure accuracy and consistency. Supports data reliability by conducting quality checks, documenting data processes, and collaborating with more experienced analysts for peer review and data validation as needed.
• Stays informed about emerging decision and data science methodologies, tools, and best practices. Applies knowledge and continuous learning to improve the quality of own work and the work of others on the team. May informally mentor or train less experienced team members to support their work quality and peer learning. Actively seeks feedback from more experienced decision science analysts and engages in professional development opportunities to enhance skills and contribute effectively to team and business unit objectives. Performs other duties as assigned.