What are the responsibilities and job description for the Digital Marketing Analyst position at Insight Global?
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.