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!

Responsibilities

The Advanced Analytics team in Enterprise Technology is looking for a Data Analyst to join our team. Our goal is to deliver data-driven insights to our business partners by performing descriptive, exploratory, and/or inferential analysis, including use of statistical modeling / machine learning techniques and tools. The outcome will be to propose solutions and strategies to our customers' difficult business challenges, leading to increased efficiencies and deep understanding of their data.

As a Data Analyst in this role, you will:

• Extract data from multiple sources, using machine learning tools to organize data, process, clean, and validate the data, analyze the data for information and patterns, and present the data in a clear manner.
• Utilize analytical, statistical, and programming skills to collect, analyze, and interpret large data sets and then use this information to develop data-driven solutions to difficult business challenges.
• Partner closely with stakeholders throughout the organization to understand and explore their data-related business problems.

• Experience in Python or R
• Experience with data-wrangling ability (SQL, SOQL)
• Experience performing statistical analysis using a variety of techniques such as ANOVA, Chi Square, Linear Regression, Clustering, etc.
• Experience with AWS, especially SageMaker and querying in Athena

• Be an inquisitive and innovative problem-solver, able to see (and solve) analytic problems in real-world scenarios.
• Ability to interpret and communicate statistical results effectively to a broad audience of business and technical resources at all levels of the organization.
• Bachelor's degree in Computer Science, Mathematics, Statistics or Data Analytics, preferred.

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