
Data Analyst
Veeva Systems · China - Dalian · Onsite
- Software & SaaS
- 5,001–10,000 employees
- Pleasanton, CA
Weak hiring record · median 198 days open
All reasons
- Open 225 days
- 75% of this employer's openings are over 60 days old
In its favour
- Still listed on the employer's own board
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 Project Manager (PM) with daily project management tasks, including:
- Understanding client requirements and supporting the PM in developing data validation and delivery plans.
- Conducting project data analysis, processing, and delivery.
- Designing and developing automated data processing workflows and tools.
- Monitoring project progress, ensuring quality control, and preparing and reporting on project-related process documentation.
- Maintaining project documentation across all phases to ensure completeness and consistency.
- Responsible for submitting, distributing, or sharing relevant documents and reports internally and externally.
- Coordinate communication with company clients, supervisors, and cross-departmental teams.
Requirements
- Bachelor's degree or above in Computer Science, Software Engineering, Data Science, Information Management or related fields.
- At least 3 years of experience in data analysis, data engineering or ETL development, with experience in processing master data in the life sciences/medicine industry.
- Proficient in using office software such as Excel and PowerPoint, and the relevant formulas in Excel.
- Excellent coordination and communication skills, project driving ability, good customer service awareness and teamwork spirit.
- Strong sense of teamwork, innovative spirit, highly dedicated, strong sense of responsibility, and strong execution ability.
- Capable of self-learning and summarization, with clear thinking.
- Strong ability to withstand pressure, able to adapt to high concurrency and parallel execution of multiple projects, and remain calm and deliver efficiently when dealing with urgent data and complaint handling
Nice to Have
- Candidates with more than 2 years of project management experience will be given priority.
- Those with experience in data governance in the pharmaceutical industry or in data blueprint/architecture planning projects are preferred.
- Those who can proficiently use Kettle and are proficient in Python and SQL will be given priority.
#LI-Associate
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.
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