Digital Analyst

Title: Digital Analyst Employment Type: 6M Contract + High likelihood to extend/convert Location: Chanhassen, MN (Hybrid - 4x per week) Salary: 40-60/hr Required Skills & Experience -Bachelor’s degree in Business, Analytics, Marketing, Economics, Statistics, Computer Science, or related field. -2–4 years of experience in analytics, BI, or data visualization (mobile analytics experience preferred). -Working knowledge of BI tools such as Domo, Adobe Analytics, Snowflake or equivalent platforms. -Hands-on experience 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. Nice to Have Skills & Experience -Experience with mobile product analytics, including engagement or retention metrics. -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. Job Description -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.