Data Analyst - Patient Access Operations
Data Analyst - Patient Access Operations
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$ 55000 - 75000
1 Vacancy
Job Description
Overview
The Data Analyst provides analytical support to ATIs 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.
Responsibilities
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
Qualifications
Minimum Education
Required:
Bachelors 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
Virtual Employee
Salary Range
Location/Org Data : Dept Number
Required Experience:
IC
Employment Type
Full-Time
