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Data Analyst

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