Data Analyst - Patient Access Operations

The Data Analyst provides analytical support to ATI’s Access Management Team (AMT) and the broader Operations function, with a focus on improving patient scheduling, attendance, and clinic efficiency. Reporting through the Analytics Center of Excellence (CoE) and working closely with AMT leadership, this role is instrumental in transforming raw data into actionable insights that drive operational performance and patient access outcomes.

This analyst will partner with business stakeholders to understand appointment trends, support workforce management strategies, and develop key operational scorecards and KPIs. The role involves building and maintaining reports and dashboards, interpreting performance trends, and supporting cross-functional collaboration between Analytics, AMT, and field operations teams. By surfacing insights and supporting test-and-learn efforts, the Data Analyst plays a key role in improving clinic utilization, patient adherence to care plans, and overall operational effectiveness.

This position is ideal for someone early in their analytics career looking to grow their technical skills while making a meaningful impact on patient care delivery and access.

We are seeking candidates with experience as an analyst or researcher in musculoskeletal healthcare delivery, contact center, or a related field.

Data Analysis & Reporting:

• Write SQL queries to extract and analyze data from multiple sources
• Create and maintain recurring reports and dashboards to track operational and clinical metrics
• Ensure data accuracy and consistency across reports

Access Management Analytics:

• Partner with the Access Management team to identify trends and drivers of scheduling efficiency, patient no-shows, and late cancellations
• Analyze appointment-level data to support initiatives that improve patient access and attendance
• Support test-and-learn efforts related to schedule optimization and outreach strategies

Ad Hoc Data Requests & Business Partner Support:

• Fulfill one-time and short-term data requests from operations, clinic leadership, and cross-functional teams
• Translate business questions into structured analyses and clearly communicate findings

Data Validation & Quality Assurance:

• Validate data outputs and troubleshoot discrepancies
• Document data logic and reporting methodologies to ensure reproducibility and clarity

Process Improvement & Team Collaboration:

• Participate in team huddles, sprint planning, and cross-functional project discussions
• Help identify and implement improvements in reporting processes and tooling

Minimum Education
Required:
• Bachelor’s degree or relevant work experience in a relevant field (e.g., public health, health services research, epidemiology, data science, data analytics).
Preferred:
• Advanced degree in a relevant field.

Minimum Experience
Required:
• N/A
Preferred:
• Experience as an analyst or researcher in musculoskeletal healthcare delivery, contact center, or a related field.

Knowledge Skills and Abilities
• Strong proficiency in SQL, with ability to query, clean, and transform large datasets
• Solid understanding of data visualization and reporting principles; experience with tools such as Power BI, Tableau, or Looker is a plus
• Familiarity with Python or other scripting languages used in data analysis
• High attention to detail and commitment to data accuracy and validation
• Ability to translate business problems into analytical questions and interpret results clearly for non-technical audiences
• Effective verbal and written communication skills; comfortable interacting with stakeholders at multiple levels
• Ability to manage multiple tasks and priorities in a fast-paced environment
• Interest in healthcare operations, patient scheduling, and continuous improvement
• Team-oriented mindset with a willingness to learn and grow in a collaborative environment