Data Analyst

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead.

At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.

Join us in transforming the life sciences industry , committed to making a positive impact on its customers, employees, and communities.

The Role

Data Analysts play a key role in Veeva OpenData, assisting in the delivery and project management of customer master data governance. We expect them to effectively analyze and process customer business data in a manner that is consistent with product logic, ultimately delivering authentic, business-aligned data to customers. Leveraging data analysis methodologies, they lay a solid foundation for customer master data management.

The Data Analyst position is part of the Veeva OpenData product team. This position provides data analysis, cleansing, and delivery for customer master data, supports internal data project management, and coordinates with cross-functional teams to ensure the delivery of relevant data and maintain data quality.

What You’ll Do

• Assist the PM in routine project management tasks: understand customer requirements and help develop project data validation and delivery plans; be responsible for project data analysis, data processing, and data delivery.

• Design and develop automated data processing workflows and tools; lead the engineering implementation of AI Agents/LLMs (e.g., intelligent validation, automated quality inspection, prompt engineering, workflow orchestration, RAG applications, etc.) to continuously improve data processing efficiency and quality.

• Be responsible for project progress and quality control; prepare process documentation for reporting; maintain the completeness and standardization of project documentation across all phases.

• Submit and distribute relevant documents and reports internally and externally; coordinate communication with customers, supervisors, and cross-functional teams.

Requirements

• Bachelor’s degree or above in Computer Science, Software Engineering, Data Science, Information Management, or a related pharmaceutical/medical field, obtained through full-time study.

• 3+ years of experience in data analysis, data engineering, or ETL development.

• Hands-on experience in implementing AI Agents or engineering LLMs; familiarity with at least one of the following: prompt engineering, agent workflow orchestration, RAG, LLM API integration, and evaluation.

• Proficient in Excel (including formulas) and PowerPoint; proficient in Python and SQL.

• Strong coordination, communication, and project execution skills; strong customer service orientation; team player.

• Strong stress tolerance; able to adapt to high-concurrency, multi-project environments; remain calm and deliver efficiently when handling urgent data and appeal processing.

Nice to Have

• Experience in master data management in the life sciences/pharmaceuticals industry.

• More than 2 years of project management experience, or experience in data governance or data blueprint/architecture planning projects in the pharmaceuticals industry.

• Proficient in using Kettle.

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Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.

Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.