Senior Pharma Data Analyst | SQL, BI & Analytics

Cloud Analytics Technologies, LLC; Santa Clara (CA); On-site; USD 80,000 - 96,000; Part time

Job summary

Cloud Analytics Technologies, LLC is seeking a Business Analyst in Santa Clara, CA for an 11-month + extension contract. The role focuses on gathering requirements, translating them into specifications, and ensuring data accuracy through SQL and BI tooling.

Collaboration with data engineers, developers, and QA will be essential in an Agile environment. The ideal candidate has 6+ years of relevant experience, strong SQL, and basic Python skills, with familiarity in data warehousing and analytics

Qualifications

• Strong proficiency in SQL for data analysis and validation.
• Basic working knowledge of Python for data manipulation or automation.
• Experience in business analysis within pharma or healthcare domains is a plus.
• Familiarity with data warehousing concepts and reporting tools.
• Excellent communication and documentation skills.
• Ability to work independently and manage multiple priorities.

Responsibilities

• Collaborate with stakeholders to gather and document business requirements.
• Translate business needs into functional specifications for technical teams.
• Analyze and validate data using SQL queries.
• Support data mapping, transformation, and reporting activities.
• Assist in testing and quality assurance of analytics deliverables.
• Coordinate with cross-functional teams including data engineers, developers, and QA.
• Participate in Agile ceremonies and sprint planning.

Skills

SQL

Python basics

Data analysis

Communication

Independent worker

Tools

Snowflake

Power BI

Tableau

Job description

Cloud Analytics Technologies, LLC is seeking a Business Analyst in Santa Clara, CA for an 11-month + extension contract. The role focuses on gathering requirements, translating them into specifications, and ensuring data accuracy through SQL and BI tooling.

Collaboration with data engineers, developers, and QA will be essential in an Agile environment. The ideal candidate has 6+ years of relevant experience, strong SQL, and basic Python skills, with familiarity in data warehousing and analytics