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Senior Data Analyst

Remote / Online - Candidates ideally in
Jenks, Tulsa County, Oklahoma, 74037, USA
Listing for: Contexture
Full Time, Part Time, Remote/Work from Home position
Listed on 2025-12-31
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Location: Jenks

SENIOR DATA ANALYST

Job Code : SRDANLST

Reports To :
Director, Data Acquisition

Base Location : AZ or CO

Work Status :
Virtual Office

Minimum Starting Monthly Range : $6,943

Hiring Range (Monthly Pay) : $6,943 - $8,083

Full-time / Part-time Full-time

Exempt / Non-Exempt Exempt

Risk Designation :
Extremely High

Summary

The Senior Data Analyst will work as part of the Data Acquisition, Transformation, and Analysis team to derive business value from enterprise data by implementing data analysis and reporting specifications provided by the Data Architect and Director of Data Acquisition, 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 local work from home opportunities.

Essential Duties and Responsibilities
  • Develop, implement, and maintain data analysis and reporting solutions for data business intelligence, reporting, visualization, and analysis
  • Support 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
  • Develop an expert understanding of internal enterprise data sources
  • Transform data using industry-standard techniques such as standardization, normalization, de-duplication, filtering, projection, and aggregation
  • Extract data from enterprise data sources as part of automated consumption data flows
  • Conduct research and evaluation of data analysis and data measurement methodologies, technologies, and tools and make recommendations for implementation
  • Prepare and present data analysis findings to 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 assigned
Qualifications

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 SQL

  • Required Libraries :
    PyData stack
  • Data storage experience with Microsoft SQL Server, Mongo

    DB, 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…
Position Requirements
10+ Years work experience
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