Data Analyst

Being good neighbors – helping people, investing in our communities, and making the world a better place – is who we are at State Farm. It is at the core of how we operate and the reason for our success. Come join a #1 team and do some good!

Responsibilities

• Conducts enterprise-wide analyses of disparate operational data sets, establishing methods aimed at identifying and understanding issues impacting Property & Casualty Claims operations.
• Analyzes claim information and provides recommendations to assist Claims leadership with management and allocation of business resources.
• Develops and reviews analysis methods/techniques and related programming for analyst peers and ongoing department work.
• Conducts research and analysis, responds to questions, makes recommendations, and develops solutions in area of expertise.
• Operates in an agile technical work environment, prepared to learn and utilize new tools and languages on a regular basis. Languages and tools include but are not limited to SQL, Python, various AWS services, and dashboarding tools such as Power BI and Qlikview.

Items of Note

• Position requires understanding and application of technical concepts (e.g., programming, big data concepts), familiarity with statistical procedures, database querying and design experience, research analysis and technical report writing experience.
• May be required to work additional hours, overtime hours, or non-standard hours, including varying work shifts, nights, weekends and holidays, based on workload and as the operation dictates.
• May require overnight travel via commercial transportation or driving motor vehicles to any office locations where the Company does business, or other locations to conduct/attend training, conferences, meetings, and/or seminars.

Qualifications

• Degree in Business/Finance/Accounting/Economics/Mathematics/Statistics or a related field is preferred.
• Intellectual curiosity and a growth mindset.
• Strong written and verbal communication skills and an ability to work with all levels of leadership.
• Demonstrated initiative and ability to dig deep into trends, learn business tools, and actively seek means to improve processes and controls.
• Broad business and financial acumen.
• Proficiency in Power BI and Microsoft Excel, including utilization of advanced formulas and report automation techniques.
• Experience with business intelligence data systems, financial/statistical resources, and analytical software is a plus.