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OVERVIEW
The Senior Data Analyst will be part of the Data and Analytics organization supporting healthcare operations and customer experience initiatives. In this role, you will leverage data to deliver insights and solutions with measurable financial and experiential outcomes. You will work with an advanced data ecosystem to extract valuable insights, build analytical solutions, and support data-driven decision-making across the organization, with a focus on contact center operations and customer experience.
- Duration: 6+ months contract
- Location: Remote, but must reside in California, Arizona, Colorado, Connecticut, Florida, Georgia, Illinois, Maryland, Minnesota, Nevada, Oregon, or Washington. Preference for West Coast. Working hours will be PST.
- Rate: $50/hr – $70/hr DOE
*Must be able to work in the United States without sponsorship*
RESPONSIBILITIES
- Analyze structured and unstructured data to uncover pain points, establish causality, identify root causes, and recommend improvements for prioritization
- Build complex data sets linking various data sources to enable comprehensive analytics
- Develop and maintain data pipelines using dbt Cloud within a Snowflake environment
- Lead clinical data analysis initiatives to identify patterns and trends that impact healthcare operations
- Design and implement data ingestion processes with a strong focus on healthcare data requirements
- Analyze claims, dispute, and clinical data to identify optimization opportunities and support payer-side initiatives
- Use statistics and modeling to identify causes/drivers of call volume, call duration, and call experience metrics
- Build reports and dashboards in Tableau to empower stakeholder decision making
- Perform text mining/topic modeling to extract insights from verbatims, chats, and call transcripts
- Collaborate with healthcare stakeholders to understand business requirements and translate them into data models
- Support data quality initiatives and participate in data governance processes
- Assist with data migration projects and implementation of data observability platforms
QUALIFICATIONS
- Bachelor’s degree in mathematics, computer science, statistics, engineering, health science, or related field
- 5+ years of data analysis professional experience
- 3+ years of experience in healthcare (managed care, academic, government payer, health systems, or health insurance)
- Demonstrated experience working with clinical data sets, including EHR data, lab results, and patient outcomes
- Experience with claims data analysis and dispute resolution data in healthcare settings
- Strong understanding of healthcare data ingestion processes and requirements
- Strong proficiency with SQL and experience with modern data platforms
- Experience with business intelligence tools, particularly Tableau
- Understanding of data governance and data quality principles in healthcare contexts
- Working experience with complex data sets and contact center knowledge
- Strong understanding of healthcare data, including claims, clinical, provider, and member information
- Experience with healthcare data standards and regulations (HIPAA, HITRUST, etc.)
- Preferred Qualifications:
- Proficiency in Python, Machine Learning and statistical modeling techniques
- Experience with Snowflake and dbt Cloud for data transformation
- Knowledge of Data Vault methodology and data warehouse concepts
- Familiarity with cloud platforms (Azure, Google Cloud)
- Experience with tools such as Collibra for data governance and quality management
- Advanced skills in text analytics and transcript/review analysis
- Experience with contact center tools (Nuance, Avaya/Genesis, Verint/NICE, Five9)
- Experience with payer-side analytics, including claims adjudication systems and payment methodologies
- Knowledge of healthcare payment models and claims processing
- Experience with clinical terminology standards (SNOMED, ICD-10, LOINC, etc.)
- Proficiency in agile methodology and tools like Confluence and Jira
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other non-merit factor. We are committed to creating a diverse and inclusive environment for all employees.
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