Pharma Data Business Analyst | SQL, Python, BI Tools

Robotics Technologies LLC; Santa Clara (CA); On-site; USD 69,000 - 99,000; Full time

Job summary

Robotics Technologies LLC in Santa Clara, CA is seeking a Business Analyst with 6+ years of experience to drive analytics initiatives and partner with cross-functional teams. The role focuses on documenting requirements, translating them into specs, and validating data using SQL.

You will support data mapping and reporting, assist in QA, and collaborate with data engineers, developers, and QA in an Agile environment. Strong communication and warehousing knowledge are essential.

Qualifications

• 6+ years of relevant experience in business analytics.
• Strong proficiency in SQL for data analysis and validation.
• Basic working knowledge of Python for data manipulation or automation.
• Experience 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 data engineers, developers, and QA; participate in Agile ceremonies.

Skills

SQL

Python basics

Data warehousing

Communication

Documentation

Agile

Tools

Snowflake

Power BI

Tableau

Job description

Robotics Technologies LLC in Santa Clara, CA is seeking a Business Analyst with 6+ years of experience to drive analytics initiatives and partner with cross-functional teams. The role focuses on documenting requirements, translating them into specs, and validating data using SQL.

You will support data mapping and reporting, assist in QA, and collaborate with data engineers, developers, and QA in an Agile environment. Strong communication and warehousing knowledge are essential.