Data Analyst

About the role

The Data Analyst will work as part of the Data Services team under the direction of the Manager, Data Services to implement, maintain, and support Contexture's reporting solutions.

Responsibilities

• Develop, implement, and maintain reports based on approved business and technical specifications.
• Support report implementation activities, testing, and customer onboarding for new reports.
• Support internal and external customers in data analysis and reporting activities, including in-depth analysis of source data.
• Create and maintain report specifications.
• Execute report validation and quality assurance activities to ensure accuracy and completeness of report outputs.
• Troubleshoot report issues, research data discrepancies, and implement corrective actions.
• Assist in the research, data analysis, data measurement, and data reporting methodologies, technologies, and tools.
• Maintain report documentation, technical specifications, and operational procedures.
• Analyze clinical, claims, SDOH, operational, and financial data to support reporting requirements.

Requirements

• Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Skills

• Experience developing, implementing, and supporting reporting solutions, data extracts, and analytical deliverables.
• Experience supporting recurring report production, report distribution, and operational reporting processes.
• Experience creating and maintaining report specifications.
• Experience working with relational databases and analytical datasets to support reporting, business intelligence, and data analysis.
• Hands-on experience with data extraction from data sources using analysis tools and programming languages, specifically Python and SQL.
• Ability to understand and analyze various data domains, including clinical, claims, social determinants of health (SDOH), financial, and operational data.
• Ability to validate data accuracy, identify data quality issues, perform root cause analysis, and implement corrective actions.
• Practical experience with industry-accepted standards, best practices, and principles for implementing well-designed data analysis and reporting solutions.
• Experience working with large and complex datasets that are both structured and unstructured data.
• Experience with Microsoft SQL Server, MongoDB, and Snowflake.
• SQL query development using query planning and optimization techniques.
• File manipulation across varied file types, encodings, formats, and standards.
• Knowledge of healthcare interoperability standards such as HL7 (Health Level 7), FHIR (Fast Healthcare Interoperability Resources), CDA (Clinical Document Architecture), etc.
• Knowledge of healthcare clinical code sets such as LOINC, SNOMED, CPT, ICD-10, etc.
• Strong understanding of project management disciplines such as Agile and Waterfall.
• Ability to translate business requirements and technical specifications into accurate and scalable reporting solutions.
• Ability to work in a fast-paced and rapidly changing environment while consistently meeting strict service level agreement performance requirements.
• Ability to work independently as well as ability to effectively work in a team environment and maintain strong working relationships.
• Effective verbal and written communication skills with the ability to explain data findings and reporting outputs to technical and non-technical stakeholders.
• Working knowledge of Microsoft Office 365 toolset (OneDrive, Word, Excel, and PowerPoint).

Qualifications

• Minimum of 3+ years of experience working in data-related positions with increasing responsibility and scope of duties; specifically, 2+ years working with relational databases, 2+ years working with analytical data.
• A Bachelor’s Degree is required with a concentration in a data-related field such as Computer Science, Informatics, Mathematics, Engineering, etc.