Data Analyst

The role

Agile Six is searching for a Data Analyst to join a team partnering with the Centers for Medicare and Medicaid Services (CMS). The successful candidate will bring their experience in data analysis to improve business insights, solve a variety of problems, and identify areas where additional data gathering and analysis would be helpful. Specific tasks include leveraging quantitative and qualitative data to construct information dashboards, integrating and analyzing data, building and using reports to answer questions, and creating and using tags to identify and group data elements. Our team is collaborative, dynamic, and ever-evolving. We are looking for someone who is a competent analyst no matter the tools or tech stack. Proficiency with ETL work is also required.

As part of the Quality Payment Program Human-Centered Design Performance team, you will drive data-informed decisions by managing digital analytics, user feedback mechanisms, and system performance monitoring. The person in this role will ensure accurate tracking, build actionable dashboards, and thrive within an Agile product development environment.

This role will primarily be composed of ad hoc analysis rather than building straightforward dashboards. We are looking for someone curious, self-sufficient, and comfortable solving complex problems with little to no guidance. If you delight in finding solutions to problems where information and context may be lacking or sparse, this role is for you.

Responsibilities

Web Analytics & Tagging

• Implement Tracking: Design and deploy robust data layer specifications across digital properties.
• Tag Management: Manage container setups, triggers, and variables using tag management systems. Organize and manage analytics tagging:
  • Address known gaps in our current tagging process
  • Improve our overall tagging process by implementing custom tags as needed
• Adobe Analytics: Build custom eVars (Custom Insight Conversion Variables), props, events, and complex segmentation models.
• Data Quality: Conduct regular audits to detect and fix broken tags or data leakage.

User Feedback & Experience Analytics

• Qualtrics VoC: Design, deploy, and maintain Voice of Customer (VoC) feedback intercepts.
• Survey Integration: Connect survey response data with behavioral analytics behavioral datasets.
• Insight Generation: Analyze open-text feedback using text analytics to uncover user pain points.
• Service Design Support: Provide research and analytics insights that help QPP HCD team identify user needs, pain points, and improvement opportunities.

System Performance Monitoring

• Datadog Observability: Configure dashboards to monitor application performance metrics and error rates.
• Correlate Data: Link technical performance drops (e.g., slow load times) to user conversion impacts.
• Alerting: Set up real-time anomaly detection aler