Data Analytics Engineer Intern

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.

Arity is a part of the Allstate Corporation, which means we have the same innovative drive that keeps us a step ahead of our customers’ evolving needs. We collect and analyze enormous amounts of data in order to provide cutting-edge solutions to companies invested in transportation.

At Arity, our Business Intelligence team is at the core of helping us transform mobility. We not only know how to analyze and find meaning within billions of miles of driving data collected from smartphones, onboard devices and third parties; we are passionate about how it affects the end-users of our products. On our team people get the opportunity to build scalable distributed data pipelines, extract meaningful insights, and create eye-opening data visualizations.

We find top talent from various quantitative disciplines to collaborate with product owners, software engineers, and experienced designers in development teams to create innovative products to make transportation smarter, safer, and more useful for everyone.

Where good people build rewarding careers.

This is a Summer 2027 internship for students currently enrolled in a degree program. This role is responsible for the use and development of the data that powers analytics projects for internal and external audiences. This person partners with others on work with data analysts and analytic engineers on tactical solutions. This role will participate in new ETL work tracks for Business Intelligence from inception and prototyping to fully developed solutions.

This is a highly dynamic position that requires a greater degree of flexibility, analytic agility, and the ability to rapidly adapt to changing business requirements/needs, new technologies, and data sources. This role also requires business acumen in order to output the best technical solutions.

• Utilize a multidisciplinary approach to Data Analytic problems combining technical expertise with analytics and business knowledge
• Work with other Data Analytic Engineers, Data Analysts, and business partners on embedded cross-functional teams; developing subject matter expertise in the business as well as data analytics
• Execute requirements to develop datasets for use by Data Analysts and business users
• Execute rapid development of new data work tracks with fast iteration over quick sprints
• Leverage and enhance the data infrastructure required to support Analytic needs, including Air Flow, GCP Composer and Big Query.
• Build test scripts, execute testing, work with data engineers, analysts and business partners to ensure end user acceptance
• Contribute to an environment that supports innovation and process improvement
• Contribute to the development of corporate research data files, information platforms or data spaces designed for exploring and understanding the data
• Demonstrate analytic agility to meet fluid and dynamic business needs in this space

• Target start date:
  May/June 2027
• Currently pursuing and will be completing a bachelor’s degree in a field such as Computer Science, Data Analytics or equivalent skills
• Basic familiarity with Python and/or Google Cloud Platform/Amazon Web Services and SQL
• Familiarity with the software development lifecycle and source control (Github)
• Basic familiarity with visualization tools such as…