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Sr. Data Analyst - REMOTE

Sierra Solutions
Department:Data Analysis
Type:REMOTE
Region:New York, NY
Location:New York, NY
Experience:Mid-Senior level
Estimated Salary:$95,000 - $140,000
Skills:
DATA ANALYSISBUSINESS ANALYSISDATA QUALITYDATA PROFILINGDATA STANDARDIZATIONDATA LINEAGEDATA DOCUMENTATIONCLOUD PLATFORMSGOOGLE CLOUD PLATFORMGCPDATA ARCHITECTUREANALYTICS PLATFORMSAI PIPELINESPHARMACEUTICALLIFE SCIENCESREGULATORY COMPLIANCESTAKEHOLDER MANAGEMENT
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Job Description

Posted on: January 20, 2026

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
Originally posted on LinkedIn

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