The ideal candidate for this Data Analytics Engineer Internship should be pursuing a degree in computer science, mathematics or equivalent, with coding skills in languages such as Python, C++, Java, Scala, SQL. Familiarity with the hadoop ecosystem, Bash or Korn Shell Scripting, and statistical concepts (R, SAS, Matlab) is desired. They should possess strong problem-solving skills, a desire to learn new technologies, attention to detail, and excellent communication skills.

The Data Analytics Engineer Intern at Allstate will use a multidisciplinary approach to solve data engineering problems, analyze business needs, recommend solutions, use various programming languages, develop prototypes, build data infrastructure, explore data sources, document transformations, innovate, and share knowledge with the team.

Data

Sick Pay

Large

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Finance

Allstate

<ul><li>Data Engineering incorporates techniques from many disciplines, including data acquisition, computer programming, data engineering, software development, high performance computing, and traditional business expertise, with the goal of extracting meaning from data to optimize future business decisions. Individuals in this field should wish to be experts in several of these disciplines and sufficiently proficient in others to effectively design, build, and deliver end to end products to optimize future decisions. </li><li>Successful individuals demonstrate significant analytic agility, and quickly develop new skills across these disciplines as they evolve. The Data Analytics Engineer role is responsible for working with clients to create scaled out business solutions and/or data using best practices, appropriate tools and software to provide documented, trusted and actionable results. This role requires analytic agility and the ability to quickly learn new techniques and technologies.&nbsp;&nbsp;</li></ul>

Currently Studying

Data Engineering incorporates techniques from many disciplines, including data acquisition, computer programming, data engineering, software development, high performance computing, and traditional business expertise, with the goal of extracting meaning from data to optimize future business decisions. Individuals in this field should wish to be experts in several of these disciplines and sufficiently proficient in others to effectively design, build, and deliver end to end products to optimize future decisions. Successful individuals demonstrate significant analytic agility, and quickly develop new skills across these disciplines as they evolve. The Data Analytics Engineer role is responsible for working with clients to create scaled out business solutions and/or data using best practices, appropriate tools and software to provide documented, trusted and actionable results. This role requires analytic agility and the ability to quickly learn new techniques and technologies.  

Data Analytics Engineer Internship

Requirements

Responsibilities

Allstate

Mission & Purpose

Benefits

Sick Pay