Data Analyst

Overview

We are not just offering a job but a meaningful career! Come join our passionate team!

As a Fortune 50 company, we hire the best employees to serve our customers, making us a leader in the insurance and financial services industry. State Farm embraces diversity and inclusion to ensure a workforce that is engaged, builds on the strengths and talents of all associates, and creates a Good Neighbor culture.

We offer competitive benefits and pay with the potential for an annual financial award based on both individual and enterprise performance. Our employees have an opportunity to participate in volunteer events within the community and engage in a learning culture. We offer programs to assist with tuition reimbursement, professional designations, employee development, wellness initiatives, and more!

Visit our Careers page for more information on our benefits , locations and the process of joining the State Farm team!

HYBRID: Qualified candidates (in or near hub locations listed below) should plan to spend time working from home and some time working in the office as part of our hybrid work environment.

HUB LOCATIONS: Dunwoody, GA; Richardson, TX; Tempe, AZ; or Bloomington, IL

Check out our Enterprise Technology department!

Responsibilities

The Quality Management team in Enterprise Technology is looking for a Data Analyst to join their team! The Quality Management product intends to utilize machine learning and assistive intelligence as key components of the solutions to transform quality management for State Farm contact centers. The result would be increased operational efficiency and improved representative performance which leads to an overall enhanced customer experience. The team is utilizing AWS Connect and other cloud services to build this functionality.

As a Data Analyst in this role you will get to:

• Position data and perform data analysis for use in building machine learning models that will provide insights into representative performance and coaching opportunities.
• Interface with the development team that is sourcing the data for the models and exposing the insights through a custom user interface.

• Knowledge of multiple programming tools & languages (R, Python, Scala, PHP, NoSQL)
• Data analysis and wrangling
• Machine learning/machine learning models

• Data modeling
• Data visualization
• AWS cloud platform experience
• Statistical & quantitative analysis

PI207497000