Digital Health Data Analyst - REMOTE

Jobgether•Prior Lake, MN

2d•$80,000 - $120,000•Remote

About The Position

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Digital Health Data Analyst. In this role, you will partner with leadership to provide critical insights that enhance our understanding of customer journeys and operational outcomes. You will not only deliver reports but also drive strategic decisions by identifying opportunities for improvement across various aspects of our services. Your analytical expertise will help bridge the gap between operational efficiency and customer satisfaction, providing a vital contribution to our digital health marketplace. This unique position blends direct consumer interaction with data-driven decision-making, ensuring that our offerings remain competitive and effective.

Requirements

Minimum of 3â5+ years of experience in analytics or business intelligence roles.
Proficiency in SQL and experience with large datasets.
Strong experience with web and product analytics tools such as Google Analytics and similar platforms.
Working knowledge of cloud data architecture and platforms.
Experience collaborating with Data Engineering teams on analytics requirements.
Solid understanding of funnel analysis and performance measurement.
Ability to translate complex analyses into concise insights for various audiences.
Proactive mindset with the ability to manage multiple priorities.
Strong written and verbal communication skills.

Nice To Haves

Experience in healthcare or regulated environments is a plus.

Responsibilities

Serve as the primary knowledge base for marketplace, funnel, and operational data across web analytics and first-party data systems.
Develop, build, and automate dashboards and reporting to provide clear insights and recommendations related to performance metrics.
Analyze end-to-end customer journeys to identify drop-offs, bottlenecks, and improvement opportunities.
Support experimentation and testing efforts by analyzing results and translating findings into actionable recommendations.
Partner with Product and Engineering teams to implement tracking requirements and data structures.
Execute ad-hoc deep-dive analyses to answer high-priority business questions.
Work closely with cross-functional stakeholders to prepare performance readouts and case studies.
Support KPI definition, forecasting inputs, and performance monitoring.