Biotech Only Sr. Data Analyst

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Biotech Only Sr. Data Analyst, remote, with a contract length of unspecified duration. Pay rate is unspecified. Requires 12+ years of experience, proficiency in SQL, Python, AWS tools, and strong communication skills.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
August 27, 2025
πŸ•’ - Project duration
Unknown
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🏝️ - Location type
Remote
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Databricks #ML (Machine Learning) #Data Architecture #AWS S3 (Amazon Simple Storage Service) #Compliance #Snowflake #AI (Artificial Intelligence) #AWS (Amazon Web Services) #S3 (Amazon Simple Storage Service) #SQL (Structured Query Language) #Data Quality #Data Engineering #Data Exploration #Athena #Data Analysis #Python #Data Processing #Data Governance #Redshift
Role description
Role: Biotech only Sr. Data Analyst Location: Remote Experience Level: 12+ years Job Requirement Category Detailed Requirement Technical Skills Proficient in SQL, Python, Snowflake, PowerBI data processing & modeling Proficiency in hypothesis testing, data quality analysis, KPI management, and business rule management Experience with AWS S3, AWS Athena, AWS Redshift, Databricks Proficiency in reading/documenting data models (conceptual, logical, and physical), data flows, and data architecture diagrams Business & Communication Strong verbal and written communication skills Comfortable with data exploration and working with limited context to identify and solve problems Comfortable engaging with Subject Matter Experts (SMEs) to capture data needs and define detailed data business rules Willing and able to vet and curate reference data in collaboration with business stakeholders Collaboration Expectations Works closely with data engineer to gather, document, and clarify granular requirements and business logic Works closely with technical product manager to align efforts with prioritized efforts Partners with Data & AI team to validate outputs and ensure alignment with data product expectations AI & Data Governance Awareness Understands the AI/ML model lifecycle and its data dependencies (e.g., feature readiness, model input/output requirements) Familiar with AI concepts and practices relevant to data product development Understands data governance principles and their role in ensuring quality, traceability, and compliance