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Data Analyst
โญ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst in Saint Louis, MO, for 6 months (possible extension), with a pay rate of "TBD." Key skills include Python, SQL, AWS, Google Cloud, and ETL processes. A Bachelor's degree and 3+ years of relevant experience are required.
๐ - Country
United States
๐ฑ - Currency
$ USD
-
๐ฐ - Day rate
336
-
๐๏ธ - Date
May 20, 2026
๐ - Duration
More than 6 months
-
๐๏ธ - Location
Hybrid
-
๐ - Contract
W2 Contractor
-
๐ - Security
Unknown
-
๐ - Location detailed
Greater St. Louis
-
๐ง - Skills detailed
#GitHub #Datasets #GIT #Scala #Data Analysis #Cloud #PostgreSQL #Computer Science #Python #R #RDS (Amazon Relational Database Service) #SQL (Structured Query Language) #AWS (Amazon Web Services) #Migration #BigQuery #Statistics #Data Migration #Data Science #AWS RDS (Amazon Relational Database Service) #"ETL (Extract #Transform #Load)" #GCP (Google Cloud Platform) #Agile
Role description
Strictly W2 Only - no C2C
Job Title: IT Data Analyst
Location: Saint Louis, MO 63146 - Only Locals
Duration: 6 Months (Possible Extension)
Work Type: Hybrid
โ ๏ธ Local candidates preferred, any Visa is fine
Key Responsibilities
Data Migration & ETL
โข Process and migrate large-scale datasets across: PostgreSQL, AWS RDS, Google BigQuery
โข Develop and execute ETL workflows for genome editing data platforms
Cloud & Data Platform Support
โข Work with: AWS cloud services, Google Cloud Platform (GCP), Enterprise data assets
โข Support scalable data-driven pipelines for crop genome editing initiatives
Cross-Functional Collaboration
โข Partner with: Data scientists, Backend engineering teams, Breeding & Biotech teams
โข Contribute to fast-paced data modernization initiatives
Data Analysis & Engineering Support
โข Generate, manipulate, and validate large datasets
โข Support agile development and Git-based workflows
โข Deliver high-quality technical and analytical contributions
Must Haves:
โข Bachelorโs degree in: Data Science, Computer Science, Statistics or Related field
โข Strong proficiency in: Python, SQL, R,
โข Experience with: AWS, Google Cloud services, ETL processes, Large dataset manipulation
โข Hands-on experience with: PostgreSQL, AWS RDS, BigQuery
โข Familiarity with: Git, GitHub, Agile environments
โข Strong communication and collaboration skills
โข Ability to work in fast-paced data environments
Preferred Experience
โข Biological science datasets
โข Bioinformatics or genomics data
โข M.S. degree
โข 3+ years relevant industry experience
โ ๏ธ Missing Python + SQL + Cloud + ETL experience โ Rejection
Nice to Have
โข Bioinformatics datasets
โข Crop genome editing domain
โข GCP BigQuery optimization
โข Scientific data environments
โข Agile biotech teams
Strictly W2 Only - no C2C
Job Title: IT Data Analyst
Location: Saint Louis, MO 63146 - Only Locals
Duration: 6 Months (Possible Extension)
Work Type: Hybrid
โ ๏ธ Local candidates preferred, any Visa is fine
Key Responsibilities
Data Migration & ETL
โข Process and migrate large-scale datasets across: PostgreSQL, AWS RDS, Google BigQuery
โข Develop and execute ETL workflows for genome editing data platforms
Cloud & Data Platform Support
โข Work with: AWS cloud services, Google Cloud Platform (GCP), Enterprise data assets
โข Support scalable data-driven pipelines for crop genome editing initiatives
Cross-Functional Collaboration
โข Partner with: Data scientists, Backend engineering teams, Breeding & Biotech teams
โข Contribute to fast-paced data modernization initiatives
Data Analysis & Engineering Support
โข Generate, manipulate, and validate large datasets
โข Support agile development and Git-based workflows
โข Deliver high-quality technical and analytical contributions
Must Haves:
โข Bachelorโs degree in: Data Science, Computer Science, Statistics or Related field
โข Strong proficiency in: Python, SQL, R,
โข Experience with: AWS, Google Cloud services, ETL processes, Large dataset manipulation
โข Hands-on experience with: PostgreSQL, AWS RDS, BigQuery
โข Familiarity with: Git, GitHub, Agile environments
โข Strong communication and collaboration skills
โข Ability to work in fast-paced data environments
Preferred Experience
โข Biological science datasets
โข Bioinformatics or genomics data
โข M.S. degree
โข 3+ years relevant industry experience
โ ๏ธ Missing Python + SQL + Cloud + ETL experience โ Rejection
Nice to Have
โข Bioinformatics datasets
โข Crop genome editing domain
โข GCP BigQuery optimization
โข Scientific data environments
โข Agile biotech teams






