Senior Data Analyst

Contexture

Senior Data Analyst integrating clinical, claims, and operational healthcare data for Contexture. Building enterprise datasets, reporting solutions, and automated data flows across legacy and modern platforms.

Posted 8/4/2026full-timePhoenix • Arizona, Colorado • 🇺🇸 United StatesSenior💰 $6,943 - $8,083 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis, reporting solutions, and enterprise data management, with proficiency in Python and SQL for data extraction and transformation. Possesses strong knowledge of healthcare data standards and project management methodologies to support effective data dissemination and compliance.

Highest-signal resume keywords

Data Analysis and Reporting SolutionsPython and SQL ProficiencyRelational and Non-Relational DatabasesHealthcare Interoperability StandardsAgile and Waterfall Project Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data TransformationData ValidationData StandardizationData AggregationRelational DatabasesAnalytical Data WorkloadsData ProcessingData Flow OptimizationSQL Query PlanningData Extraction

Soft Skills

CollaborationCommunicationProblem-SolvingIndependenceTeamwork

Tools & Technologies

Microsoft SQL ServerMongoDBSnowflakeMicrosoft Office 365PyData Stack

Industry Keywords

Healthcare InteroperabilityHL7FHIRCDALOINCSNOMEDCPTICD-10Secure Software Development LifecyclePHI and PII Compliance

Tech Stack

Tools & technologies

MongoDBMS SQL ServerPythonSQL

About the role

Key responsibilities & impact

Develop, implement, and maintain data analysis and reporting solutions for business intelligence, reporting, visualization, and analysis
Support internal and external customers with data analysis and reporting, including data validation and in-depth source-data analysis
Assist with developing, implementing, and maintaining enterprise data management solutions
Develop expert knowledge of internal enterprise data sources
Transform data through standardization, normalization, de-duplication, filtering, projection, and aggregation
Extract data from enterprise sources for automated consumption data flows
Research and evaluate data analysis methodologies, technologies, and tools and recommend implementations
Prepare and present data analysis findings to internal and external stakeholders
Collaborate with data producers, consumers, and subject matter experts to support organizational data dissemination and flow
Perform other related duties as assigned

Requirements

What you’ll need

Minimum 5+ years of experience in data-related positions with increasing responsibility and scope
5+ years of experience working with relational databases
4+ years of experience working with analytical data workloads
Bachelor’s Degree required in a data-related field such as Computer Science, Informatics, Mathematics, or Engineering
Experience with relational and non-relational data storage models, schemas, and structures in data lakes and warehouses
Hands-on experience extracting data using analysis tools and programming languages, specifically Python and SQL
Ability to analyze clinical, claims, social determinants of health, financial, and operational data
Experience implementing data analysis and reporting solutions using industry standards and best practices
Production data processing experience with terabyte-sized structured and unstructured datasets
Required libraries: PyData stack
Experience with Microsoft SQL Server, MongoDB, and Snowflake
Knowledge of data partitioning, parallelization, data flow optimization, SQL query planning, and query optimization
Experience with varied file types, encodings, formats, and standards
Knowledge of Secure Software Development Lifecycle, version control, and release management
Knowledge of healthcare interoperability standards including HL7, FHIR, and CDA
Knowledge of healthcare clinical code sets including LOINC, SNOMED, CPT, and ICD-10
Strong understanding of Agile and Waterfall project management disciplines
Ability to translate technical requirements into actionable execution tasks
Ability to meet strict service level agreement performance requirements in a fast-paced environment
Ability to work independently and effectively in a team environment
Working knowledge of Microsoft Office 365, including OneDrive, Word, Excel, and PowerPoint
Ability to handle sensitive information including PHI and PII in compliance with applicable laws and policies
Ability to periodically drive to clients, conferences, and/or events; limited travel may be required

Benefits

Comp & perks

Comprehensive benefits package
Local work from home opportunities
Occasional availability for after-hours work
Limited travel opportunities
Equal Opportunity Employer