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The software company powering the path to the world’s new medicines.
The Role
Develop and implement a data governance framework, build automated data quality checks, analyze large datasets with SQL/Python, create dashboards and reports, investigate root causes of data issues, and collaborate with product, engineering, and operations while maintaining documentation.
Summary Generated by Built In
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.
As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.
Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.
Veeva Link’s vision is to become the global leader for deep data in life sciences. We are looking for a detail-oriented and experienced Data Analyst to join our product team.
In this role, you will play a key part in developing and implementing a data governance framework, ensuring data accuracy, completeness, and integrity. Your main responsibilities include establishing data quality monitoring processes, identifying root causes of inconsistencies, and collaborating with cross-functional teams to resolve data gaps.
To thrive in this role, you need expertise in SQL and Python for data manipulation and automation. You should be comfortable working with large datasets, designing dashboards with actionable recommendations, and applying statistical techniques to assess and enhance data quality.
The ideal candidate has experience in creating documentation (process documentation, data collection guidelines) and in contributing to data governance policies and best practices.
What You'll Do
- Implement a data governance framework
- Establish and maintain robust processes for tracking and assessing data quality
- Develop automated checks to proactively detect data inconsistencies
- Apply statistical techniques to enhance data quality
- Create customized reports and dashboards
- Extract data from databases (e.g., Redshift, MongoDB)
- Identify and resolve root causes of quality issues
- Collaborate in cross-functional teams of product managers, engineering, and operations
- Create and maintain documentation
Requirements
- 3+ years of work experience in data analysis or data quality role
- Strong technical skills in data analysis, with proficiency in SQL and Python
- Experience in data storage and processing on cloud platforms such as AWS, GCP, or Azure
- Strong problem-solving skills and experience working with cross-functional teams
- Experience writing process documentation and data collection guidelines
Nice to Have
- University degree in medicine or life sciences
- Understanding of healthcare, life sciences, or pharmaceutical industry data
- Experience with data visualization tools to create dashboards and reports
- Understanding of data engineering concepts (ETL, data pipelines)
- Experience with workflow automation tools such as Apache Airflow
- Experience working in an Agile or product-driven environment
- Familiarity with data privacy and compliance regulations (e.g., GDPR, HIPAA)
Interviewing with Veeva
Follow the application process and submit your resume.
Within 3 days, you will receive a link to a personality assessment administered by a third party.
Once you complete the assessment, our team will review your full application package and follow up via email with our decision.
If moving to the interview stage, the process is as follows:
A conversation with the hiring manager
A practical case exercise
A final conversation with our group's Senior Leader.
Once all interviews are complete, the manager will be in touch with a final decision.
We value your time and believe in a transparent hiring process. Here is the process you can expect.
Perks & Benefits
- 1% charitable giving program
- Medical private insurance
- Private pension plan
- Life insurance
- Fitness reimbursement
#RemoteSpain#LI-Associate
Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.
As an equal opportunity employer, Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams.
If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at [email protected].
Skills Required
- 3+ years of work experience in data analysis or data quality role
- Proficiency in SQL
- Proficiency in Python
- Experience with cloud data storage and processing (AWS, GCP, or Azure)
- Strong problem-solving skills and experience working with cross-functional teams
- Experience writing process documentation and data collection guidelines
- Experience extracting data from databases (e.g., Redshift, MongoDB)
- University degree in medicine or life sciences
- Understanding of healthcare, life sciences, or pharmaceutical industry data
- Experience with data visualization tools to create dashboards and reports
- Understanding of data engineering concepts (ETL, data pipelines)
- Experience with workflow automation tools such as Apache Airflow
- Experience working in an Agile or product-driven environment
- Familiarity with data privacy and compliance regulations (e.g., GDPR, HIPAA)
Veeva Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Veeva and has not been reviewed or approved by Veeva.
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Equity Value & Accessibility — Equity is broadly distributed across the company, positioning most employees as shareholders. Stock-based incentives can materially enhance total compensation, particularly at higher seniority.
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Flexible Benefits — Work Anywhere enables remote-first flexibility with options to use offices and to gather through offsites or coworking weeks. This structure supports collaboration while minimizing rigid on-site requirements.
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Healthcare Strength — Core coverage includes medical, dental, vision, HSA/FSA, life and disability, and EAP. Supplemental perks such as commuter assistance and wellness or gym reimbursements are available in some locations.
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The Company
What We Do
Veeva is the global leader in cloud software for the life sciences industry. Committed to innovation, product excellence, and customer success, Veeva serves more than 1,000 customers, ranging from the world’s largest pharmaceutical companies to emerging biotechs. As a Public Benefit Corporation, Veeva is committed to balancing the interests of all stakeholders, including customers, employees, shareholders, and the industries it serves.
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