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.