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Digital Analytics Engineer

Purple Drive Technologies LLC
Minneapolis, MN Other
POSTED ON 12/12/2025 CLOSED ON 12/16/2025

What are the responsibilities and job description for the Digital Analytics Engineer position at Purple Drive Technologies LLC?

Job Details

Experience requested: 5 YRS



ROLE: Digital Analytics Engineer



Description:



Adobe Analytics, of front-end development experience, with functional knowledge of web technologies (e.g., HTML, CSS) and client-side programming languages (e.g., JavaScript, iOS, Android).



"Key Responsibilities

Collaborate with software developers, product managers, UI designers, and data scientists to develop consumer tracking and analytics solutions across all U.S. Bank digital channels.

Troubleshoot and resolve technical and engineering issues related to the setup and configuration of analytics tools and reports.

Define appropriate data models and implement instrumentation for collecting and analyzing analytics data.

Create documentation for tools and libraries within the analytics platform.

Promote repeatable best practices that empower software engineers to independently implement analytics solutions.

________________________________________

Required Qualifications

Bachelor s degree in computer science or engineering.

5 years of front-end development experience, with functional knowledge of web technologies (e.g., HTML, CSS) and client-side programming languages (e.g., JavaScript, iOS, Android).

Official Adobe Analytics Expert Developer Certification and Tealium EventStream iQ Tag Management Certification required.

Additional certifications required for various digital analytics role, including but not limited to:

Tealium EventStream API Hub Certification

Adobe Customer Journey Analytics Developer Expert Certification

2 years of practical implementation experience with one or more web/digital analytics tools (e.g., Adobe Analytics, Google Analytics) and tag management systems (e.g., Tealium, Ensighten, Adobe Launch, Google Tag Manager).

Basic SQL skills for data troubleshooting."
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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