R&D Info Systems Analyst II
Gilead Sciences
4 hours ago
Remote friendly (San Francisco Bay Area)
United States
IT
Systems Analyst II – R&D Information Systems
Role Overview
The Systems Analyst II is a technically skilled individual contributor role within R&D Information Systems, focused on data analysis and solution delivery across analytics, data, and operational workflows. Own the accuracy and reliability of data and reporting outputs; connect business stakeholders with delivery teams to translate needs into scalable, trusted solutions. Work independently and collaboratively with senior team members while driving adoption of AI-enabled workflows under defined guidance and governance.
Key Responsibilities
- Analyze and map how R&D business processes flow across systems, data pipelines, analytics layers, and dashboards to identify gaps and improvement opportunities
- Own data definitions, mappings, and lineage documentation, ensuring consistency across systems and stakeholders
- Investigate and resolve data quality issues by tracing root causes across source systems, ETL processes, and reporting layers
- Write and optimize SQL queries to validate data accuracy, perform ad hoc analysis, and support reporting needs
- Lead intake and requirements gathering for analytics and reporting requests, translating business needs into technical specifications
- Review and approve analytics, reporting, and data-related deliverables from offshore or partner teams, providing actionable technical feedback
- Identify and resolve data or reporting issues independently; escalate cross-system problems with documented analysis and recommended solutions
- Design and execute test plans for data integrations, report changes, and system updates prior to production release
- Build and maintain runbooks, data dictionaries, and technical documentation to support operational continuity
- Implement and refine AI-enabled workflows within analytics and operational processes, evaluating output quality and recommending improvements
- Document repeatable AI usage patterns and contribute to the team’s AI governance framework
Basic Qualifications (Required)
- Bachelor’s degree in Information Systems, Data Science, Analytics, Computer Science, or related field, or equivalent practical experience
- Bachelor’s degree + at least 4 years relevant experience
- Master’s degree + at least 3 years relevant experience
- Proficiency in SQL for data querying, validation, and analysis
- Hands-on experience with at least two: Tableau, Power BI, ThoughtSpot, Spotfire, or similar BI/analytics platforms
- Working knowledge of data pipelines, ETL processes, and data warehousing concepts
- Experience supporting or building analytics solutions in a business systems or R&D environment
- Ability to independently troubleshoot data issues, document findings, and communicate technical concepts to non-technical stakeholders
- Strong written and verbal communication; work effectively in a team-based, matrixed environment
Preferred Qualifications
- Experience in pharmaceutical/healthcare industry, particularly clinical development
- Familiarity with GxP, 21 CFR Part 11, and other relevant compliance frameworks
- Experience working with offshore/external delivery teams in a technical review capacity
- Experience with scripting languages such as Python or R for data analysis/automation
- Hands-on experience with testing/UAT methodologies for data and reporting systems
- Exposure to AI/ML tools for analytics/workflow automation, focused on output validation and quality assurance
- Experience with version control (Git) and CI/CD concepts for data/analytics workflows
Compensation/Benefits (as stated)
- Salary range: $117,895.00 - $152,570.00
- May be eligible for discretionary annual bonus and discretionary stock-based long-term incentives (eligibility may vary), paid time off, and benefits package
- Benefits include company-sponsored medical, dental, vision, and life insurance
Application Instructions
- Please apply via the Internal Career Opportunities portal in Workday.
Role Overview
The Systems Analyst II is a technically skilled individual contributor role within R&D Information Systems, focused on data analysis and solution delivery across analytics, data, and operational workflows. Own the accuracy and reliability of data and reporting outputs; connect business stakeholders with delivery teams to translate needs into scalable, trusted solutions. Work independently and collaboratively with senior team members while driving adoption of AI-enabled workflows under defined guidance and governance.
Key Responsibilities
- Analyze and map how R&D business processes flow across systems, data pipelines, analytics layers, and dashboards to identify gaps and improvement opportunities
- Own data definitions, mappings, and lineage documentation, ensuring consistency across systems and stakeholders
- Investigate and resolve data quality issues by tracing root causes across source systems, ETL processes, and reporting layers
- Write and optimize SQL queries to validate data accuracy, perform ad hoc analysis, and support reporting needs
- Lead intake and requirements gathering for analytics and reporting requests, translating business needs into technical specifications
- Review and approve analytics, reporting, and data-related deliverables from offshore or partner teams, providing actionable technical feedback
- Identify and resolve data or reporting issues independently; escalate cross-system problems with documented analysis and recommended solutions
- Design and execute test plans for data integrations, report changes, and system updates prior to production release
- Build and maintain runbooks, data dictionaries, and technical documentation to support operational continuity
- Implement and refine AI-enabled workflows within analytics and operational processes, evaluating output quality and recommending improvements
- Document repeatable AI usage patterns and contribute to the team’s AI governance framework
Basic Qualifications (Required)
- Bachelor’s degree in Information Systems, Data Science, Analytics, Computer Science, or related field, or equivalent practical experience
- Bachelor’s degree + at least 4 years relevant experience
- Master’s degree + at least 3 years relevant experience
- Proficiency in SQL for data querying, validation, and analysis
- Hands-on experience with at least two: Tableau, Power BI, ThoughtSpot, Spotfire, or similar BI/analytics platforms
- Working knowledge of data pipelines, ETL processes, and data warehousing concepts
- Experience supporting or building analytics solutions in a business systems or R&D environment
- Ability to independently troubleshoot data issues, document findings, and communicate technical concepts to non-technical stakeholders
- Strong written and verbal communication; work effectively in a team-based, matrixed environment
Preferred Qualifications
- Experience in pharmaceutical/healthcare industry, particularly clinical development
- Familiarity with GxP, 21 CFR Part 11, and other relevant compliance frameworks
- Experience working with offshore/external delivery teams in a technical review capacity
- Experience with scripting languages such as Python or R for data analysis/automation
- Hands-on experience with testing/UAT methodologies for data and reporting systems
- Exposure to AI/ML tools for analytics/workflow automation, focused on output validation and quality assurance
- Experience with version control (Git) and CI/CD concepts for data/analytics workflows
Compensation/Benefits (as stated)
- Salary range: $117,895.00 - $152,570.00
- May be eligible for discretionary annual bonus and discretionary stock-based long-term incentives (eligibility may vary), paid time off, and benefits package
- Benefits include company-sponsored medical, dental, vision, and life insurance
Application Instructions
- Please apply via the Internal Career Opportunities portal in Workday.