Healthcare Data Operations Analyst
Company | Quest Analytics |
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Location | Overland Park, KS, USA |
Salary | $Not Provided – $Not Provided |
Type | Full-Time |
Degrees | Bachelor’s |
Experience Level | Mid Level, Senior |
Requirements
- Degree in Data Analytics, Information Systems, Business Management, related degree, or equivalent experience.
- 3+ years of experience defining, implementing, and evaluating process strategies and improvements.
- 3+ years of experience working with healthcare data.
- Advanced proficiency in SQL is required (writing complex queries joins and aggregations, etc.).
- Expertise in Excel including advanced formulas, pivot tables, and data visualization techniques or similar comparison tools.
- Strong ability to independently investigate, analyze and solve complex data problems.
- Experience working with stakeholders to proactively extract needed parameters to develop meaningful data analysis.
- Experience with business rule data validation and transformation.
- Experience with ad hoc data analysis and supporting ongoing metrics reporting.
- Ability to translate complex data analysis findings into actionable business insights.
- Proven successful experience collaborating and interacting with professional engineering team(s), in an analyst role, to achieve objectives results.
- Experience with data validation and ETL processes.
- High attention to detail including effective client communications and proven ability to manage multiple, competing priorities simultaneously.
- Ability to multi-task and prioritize in a fast-paced, fluidic environment.
- Excellent interpersonal skills, ability to collaborate and work successfully with teams across the organization.
Responsibilities
- Independently research and analyze healthcare provider and outreach data discrepancies or issues as reported by internal teams, leveraging SQL queries, excel based comparisons and other various analysis tools.
- Operationally respond to urgent and/or exploratory data requests (represented by Azure DevOps work items) from stakeholders and internal partners, providing timely and insightful analysis results within defined turnaround times and due dates.
- Independently navigate internal database structures with little to no direction.
- Develop, maintain and enhance recurring reports to track requested data performance points and trends.
- Apply critical thinking and structured analytical approaches to complex data challenges within multiple interdependent systems.
- Translate intricate technical data findings into business friendly insights, ensuring clarity for non-technical audiences.
- Write and optimize complex SQL queries to extract, validate and analyze data from multiple sources.
- Build and maintain Excel based reports. Including pivot tables, charts and formulas to support business operations.
- Work closely with internal teams, including various engineering scrum teams, stakeholders, and various internal partners to provide timely and accurate data insights.
- Identify trends and patterns that indicate data integrity issues and proactively work to support improvements.
- Utilizing internal tools, maintain clear documentation of investigations, queries and resolutions to support knowledge sharing and process optimization.
- Be a creative thinker with a focus on continuous improvement.
Preferred Qualifications
- Microsoft Azure experience / knowledge is a preferred.