

ConsultNet Technology Services and Solutions
Senior Analytics Engineer (SAS to Python Modernization)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Analytics Engineer focused on SAS to Python modernization, with a contract length of 3 months+, 100% remote work, and a pay rate of "unknown." Key skills include Python, SAS, data analysis, and experience in healthcare analytics.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
January 30, 2026
🕒 - Duration
3 to 6 months
-
🏝️ - Location
Remote
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Jacksonville, GA
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🧠 - Skills detailed
#Data Accuracy #Macros #Pandas #SAS #Cloud #Base #"ETL (Extract #Transform #Load)" #NumPy #Data Analysis #Data Transformations #SQL (Structured Query Language) #Python #BI (Business Intelligence)
Role description
Senior Analytics Engineer (SAS to Python Modernization)
Business Informatics
3 months+ contract
100% Remote
Overview
We are seeking a Senior Analytics Engineer to support the modernization of analytics and reporting workflows within a Business Informatics organization. This role will focus on translating and enhancing existing SAS-based analytics into Python-based solutions while partnering closely with business stakeholders, analytics teams, and technology partners.
This is not a pure software engineering role and not a traditional reporting analyst role. The ideal candidate brings strong analytical judgment, fluency in Python, and the ability to confidently interpret and refactor SAS logic into modern, maintainable analytics code.
Key Responsibilities
Analyze and interpret existing SAS programs, including DATA steps, PROC SQL, and common analytical procedures
Translate SAS-based analytics and transformations into Python using pandas, numpy, and SQL while preserving business logic and output accuracy
Partner with Business Informatics stakeholders to understand reporting intent, metrics, and downstream usage
Validate converted logic by reconciling outputs, row counts, and aggregations between SAS and Python
Improve existing analytics pipelines by simplifying logic, increasing transparency, and reducing technical debt
Collaborate with technology and data platform teams to ensure Python solutions align with enterprise standards
Document business logic, assumptions, and data transformations for long-term maintainability
Required Qualifications
Strong experience with Python for data analysis including pandas, numpy, and SQL integration
Working knowledge of SAS with the ability to confidently read and interpret existing SAS code
Experience translating or modernizing legacy analytics or reporting logic
Solid understanding of analytics concepts such as aggregations, joins, time-based logic, and derived metrics
Ability to work closely with business users and translate analytical requirements into technical solutions
Experience validating analytical outputs and ensuring data accuracy
Preferred Qualifications
Experience in healthcare, payer, or regulated data environments
Familiarity with SAS macros and common PROC workflows
Exposure to cloud-based analytics platforms or modern data stacks
Experience supporting Business Intelligence, reporting, or informatics teams
Background in analytics engineering or data transformation roles
READ, UPDATE and DELETE - When putting your job descriptions into Job Diva please use Calibri for the Font and size 11. We also do not underline anything, bold anything, or have any variation in color. We also bullet point the required and desired skills – no dashes, arrows, etc.
SPELL-CHECK EVERYTHING BEFORE YOU CLICK SAVE!
Welcome to ConsultNet, a premier national provider of technology talent and solutions. Our expertise spans across project services, contract-to-hire, direct search, and managed services onshore, nearshore, and hybrid. For over 25 years, we have connected thousands of consultants with meaningful roles through a personal, communication-driven approach, partnering with a diverse client base to build high-performing teams and create lasting impact. Our comprehensive service offerings cover a wide range of technology and engineering positions across key markets nationwide. Learn more at www.consultnet.com .
We champion equality and inclusivity, proudly supporting an Equal Opportunity Employer policy. We welcome applicants regardless of Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other status protected by law.
Senior Analytics Engineer (SAS to Python Modernization)
Business Informatics
3 months+ contract
100% Remote
Overview
We are seeking a Senior Analytics Engineer to support the modernization of analytics and reporting workflows within a Business Informatics organization. This role will focus on translating and enhancing existing SAS-based analytics into Python-based solutions while partnering closely with business stakeholders, analytics teams, and technology partners.
This is not a pure software engineering role and not a traditional reporting analyst role. The ideal candidate brings strong analytical judgment, fluency in Python, and the ability to confidently interpret and refactor SAS logic into modern, maintainable analytics code.
Key Responsibilities
Analyze and interpret existing SAS programs, including DATA steps, PROC SQL, and common analytical procedures
Translate SAS-based analytics and transformations into Python using pandas, numpy, and SQL while preserving business logic and output accuracy
Partner with Business Informatics stakeholders to understand reporting intent, metrics, and downstream usage
Validate converted logic by reconciling outputs, row counts, and aggregations between SAS and Python
Improve existing analytics pipelines by simplifying logic, increasing transparency, and reducing technical debt
Collaborate with technology and data platform teams to ensure Python solutions align with enterprise standards
Document business logic, assumptions, and data transformations for long-term maintainability
Required Qualifications
Strong experience with Python for data analysis including pandas, numpy, and SQL integration
Working knowledge of SAS with the ability to confidently read and interpret existing SAS code
Experience translating or modernizing legacy analytics or reporting logic
Solid understanding of analytics concepts such as aggregations, joins, time-based logic, and derived metrics
Ability to work closely with business users and translate analytical requirements into technical solutions
Experience validating analytical outputs and ensuring data accuracy
Preferred Qualifications
Experience in healthcare, payer, or regulated data environments
Familiarity with SAS macros and common PROC workflows
Exposure to cloud-based analytics platforms or modern data stacks
Experience supporting Business Intelligence, reporting, or informatics teams
Background in analytics engineering or data transformation roles
READ, UPDATE and DELETE - When putting your job descriptions into Job Diva please use Calibri for the Font and size 11. We also do not underline anything, bold anything, or have any variation in color. We also bullet point the required and desired skills – no dashes, arrows, etc.
SPELL-CHECK EVERYTHING BEFORE YOU CLICK SAVE!
Welcome to ConsultNet, a premier national provider of technology talent and solutions. Our expertise spans across project services, contract-to-hire, direct search, and managed services onshore, nearshore, and hybrid. For over 25 years, we have connected thousands of consultants with meaningful roles through a personal, communication-driven approach, partnering with a diverse client base to build high-performing teams and create lasting impact. Our comprehensive service offerings cover a wide range of technology and engineering positions across key markets nationwide. Learn more at www.consultnet.com .
We champion equality and inclusivity, proudly supporting an Equal Opportunity Employer policy. We welcome applicants regardless of Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other status protected by law.






