

Sierra Solutions
Sr. Data Analyst - REMOTE
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Sr. Data Analyst (REMOTE) with a contract length of "unknown" and a pay rate of "unknown." Key skills include data analysis, business analysis, and familiarity with GCP. Experience in pharmaceutical or life sciences is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
January 20, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
New York, NY
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🧠 - Skills detailed
#Business Analysis #Documentation #AI (Artificial Intelligence) #Compliance #GCP (Google Cloud Platform) #Cloud #Data Engineering #"ETL (Extract #Transform #Load)" #Data Analysis #Data Architecture #ML (Machine Learning) #Data Quality
Role description
Job Summary
We are ramping up a large-scale Data & AI transformation program for a leading pharmaceutical organization and are seeking four experienced Data Analysts / Business Analysts to support critical data readiness initiatives for AI. These roles will play a key part in preparing, structuring, and enabling data assets that power advanced analytics and AI use cases across the enterprise.
Domain Focus Areas
We are hiring one Data Analyst / BA for each of the following functional areas:
• Research
• Development
• Portfolio Management
• Regulatory Affairs
Primary Responsibilities
• Partner with business and technical stakeholders to understand data needs and AI-driven use cases
• Analyze, profile, and assess data quality, completeness, and usability
• Translate business requirements into clear data and analytical requirements
• Support data readiness efforts, including data standardization, lineage, and documentation
• Collaborate closely with data engineering, analytics, and AI teams
• Ensure data supports regulatory, compliance, and governance standards where applicable
Education and Experience
• Strong experience as a Data Analyst and/or Business Analyst in complex enterprise environments
• Background working within pharmaceutical or life sciences organizations
• Ability to bridge business and technical teams effectively
• Experience supporting data initiatives that enable analytics, ML, or AI programs
• Excellent communication and stakeholder management skills
Preferred Qualifications
• Experience working with or around cloud platforms, especially Google Cloud Platform (GCP)
• Familiarity with modern data architectures, analytics platforms, or AI pipelines
• Experience in one or more of the listed pharma functional domains
Job Summary
We are ramping up a large-scale Data & AI transformation program for a leading pharmaceutical organization and are seeking four experienced Data Analysts / Business Analysts to support critical data readiness initiatives for AI. These roles will play a key part in preparing, structuring, and enabling data assets that power advanced analytics and AI use cases across the enterprise.
Domain Focus Areas
We are hiring one Data Analyst / BA for each of the following functional areas:
• Research
• Development
• Portfolio Management
• Regulatory Affairs
Primary Responsibilities
• Partner with business and technical stakeholders to understand data needs and AI-driven use cases
• Analyze, profile, and assess data quality, completeness, and usability
• Translate business requirements into clear data and analytical requirements
• Support data readiness efforts, including data standardization, lineage, and documentation
• Collaborate closely with data engineering, analytics, and AI teams
• Ensure data supports regulatory, compliance, and governance standards where applicable
Education and Experience
• Strong experience as a Data Analyst and/or Business Analyst in complex enterprise environments
• Background working within pharmaceutical or life sciences organizations
• Ability to bridge business and technical teams effectively
• Experience supporting data initiatives that enable analytics, ML, or AI programs
• Excellent communication and stakeholder management skills
Preferred Qualifications
• Experience working with or around cloud platforms, especially Google Cloud Platform (GCP)
• Familiarity with modern data architectures, analytics platforms, or AI pipelines
• Experience in one or more of the listed pharma functional domains






