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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.
๐ŸŒŽ - Country
United States
๐Ÿ’ฑ - Currency
$ USD
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๐Ÿ’ฐ - Day rate
336
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๐Ÿ—“๏ธ - Date
May 20, 2026
๐Ÿ•’ - Duration
More than 6 months
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๐Ÿ๏ธ - Location
Hybrid
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๐Ÿ“„ - Contract
W2 Contractor
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๐Ÿ”’ - Security
Unknown
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๐Ÿ“ - Location detailed
Greater St. Louis
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๐Ÿง  - 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 โš ๏ธ Local candidates preferred, any Visa is fine Key Responsibilities Data Migration & ETL โ€ข Process and migrate large-scale datasets across: PostgreSQL, AWS RDS, Google BigQuery โ€ข Develop and execute ETL workflows for genome editing data platforms Cloud & Data Platform Support โ€ข Work with: AWS cloud services, Google Cloud Platform (GCP), Enterprise data assets โ€ข Support scalable data-driven pipelines for crop genome editing initiatives Cross-Functional Collaboration โ€ข Partner with: Data scientists, Backend engineering teams, Breeding & Biotech teams โ€ข Contribute to fast-paced data modernization initiatives Data Analysis & Engineering Support โ€ข Generate, manipulate, and validate large datasets โ€ข Support agile development and Git-based workflows โ€ข Deliver high-quality technical and analytical contributions Must Haves: โ€ข Bachelorโ€™s degree in: Data Science, Computer Science, Statistics or Related field โ€ข Strong proficiency in: Python, SQL, R, โ€ข Experience with: AWS, Google Cloud services, ETL processes, Large dataset manipulation โ€ข Hands-on experience with: PostgreSQL, AWS RDS, BigQuery โ€ข Familiarity with: Git, GitHub, Agile environments โ€ข Strong communication and collaboration skills โ€ข Ability to work in fast-paced data environments Preferred Experience โ€ข Biological science datasets โ€ข Bioinformatics or genomics data โ€ข M.S. degree โ€ข 3+ years relevant industry experience โš ๏ธ Missing Python + SQL + Cloud + ETL experience โ†’ Rejection Nice to Have โ€ข Bioinformatics datasets โ€ข Crop genome editing domain โ€ข GCP BigQuery optimization โ€ข Scientific data environments โ€ข Agile biotech teams