Job Code: DATANLST
Reports To: Manager, Data Operations Base Location: AZ or CO Work Status: Virtual Office Minimum Starting Monthly Range: $5,757 Hiring Range (Monthly Pay): $5,757 - $6,583 Full-time / Part-time Full-timeExempt / Non-Exempt Exempt
Risk Designation: Extremely HighSummary
The Data Analyst will work as part of the Data Operations and Engineering team to derive business value from enterprise data by implementing data analysis and reporting specifications provided by the Data Architect, Manager, Data Operations and Director of Data Operations & Engineering, including data transformations, consumption, and automation. This role will work with multiple healthcare data sources and cross-functional teams to establish integrated datasets across legacy and greenfield data/platforms. You will work closely with data producers, consumers, and subject matter experts to enhance data service capabilities by implementing data architecture frameworks, standards, and principals, including modeling, metadata, security, and reference data.This position is based in Phoenix Arizona, Denver or Grand Junction
Colorado. Our strategic flexibility allows for local work from home opportunities.Essential Duties and Responsibilities include the following:
Develop, implement, and maintain data analysis and reporting solutions for data business intelligence, reporting, visualization, and analysisSupport internal and external customers in data analysis and reporting
activities, including data validation and in-depth analysis of source data Assist with the development, implementation, and maintenance of enterprise data management solutions Support creation and implementation of operational report automation Assist in the research, data analysis, data measurement, and data reporting methodologies, technologies, and tools Prepare and present data analysis and findings to key internal and external stakeholders Collaborate with data producers, consumers, and subject matter experts to ensure smooth dissemination and flow of data within the organization Performs other related duties as assignedQualifications
To perform this job successfully, an individual must be able to perform each
essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.Skills
Demonstrated experience with relational and non-relational data storage models, schemas, and structures used in data lakes and warehouses for big data, business intelligence, reporting, visualization, and analytics 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 Practical experience with industry-accepted standards, best practices, and principles for implementing well-designed data analysis and reporting solutions Technical Skills and Experience: Data processing experience in a production environment with terabyte-sized datasets that are both structured and unstructured data Required Languages: Python and SQLRequired Libraries: PyData stack
Data storage experience with Microsoft SQL Server, MongoDB, and Snowflake Leveraging data partitioning, parallelization, and data flow optimization principles SQL query development using query planning and optimization techniques File manipulation across varied file types, encodings, formats, and standards Secure Software Development Lifecycle (SSDLC), version control, and release management 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 technical requirements into actionable tasks for execution 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 Working knowledge of Microsoft Office 365 toolset (OneDrive, Word, Excel, and PowerPoint)Education/Experience
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.