Digital Marketing Analyst

Digital Marketing Analyst

4x/week hybrid, Chanhassen

Responsibilities

• Collect, analyze, and interpret data related to mobile app engagement, member behavior, and feature performance.
• Build and maintain dashboards and reports using enterprise BI platforms such as Domo and Adobe Analytics.
• Track key performance metrics and help identify opportunities for mobile product optimization.
• Work closely with mobile product managers, digital marketing, and engineering teams to understand business goals and analytics needs.
• Participate in sprint planning, retrospectives, and cross-functional meetings as part of an agile analytics team.
• Support data validation and accuracy checks to ensure analytics outputs are trusted and consistent.
• Collaborate with data engineering and platform teams to enhance data pipelines and reporting structures.
• Contribute to documentation of dashboards, KPIs, and analytic definitions for transparency and reuse.
• Proactively identify ways to improve reporting processes and analytic efficiency.
• Learn from senior analysts and contribute ideas to improve analytics maturity.

Qualifications

• Bachelor’s degree in Business, Analytics, Marketing, Economics, Statistics, Computer Science, or related field.

Required Skills

• 2–4 years of experience in digital marketing analytics, BI, and data visualization.
• Experience with Adobe Analytics or Google Analytics.
• Experience with Tableau or PowerBI for data visualization.
• Beginner to Intermediate skill level with SQL for data analysis.
• Strong problem-solving, communication, and collaboration skills.
• High attention to detail and ability to manage multiple priorities in a fast-paced environment.

Preferred Skills

• Experience with mobile product analytics, including engagement or retention metrics.
• Working knowledge of BI tools such as Domo, Snowflake or equivalent platforms.
• Familiarity with Agile/Scrum frameworks and Atlassian tools (Jira, Confluence).
• Ability to translate complex data into clear visual stories that support decision-making.
• Curiosity and enthusiasm for learning new business areas and technologies.
• Experience supporting or contributing to analytics projects within a large organization.