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 $2B 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 (PBC), legally bound to balancing the interests of customers, employees, society, and investors.As a company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.Join us in , committed to making a positive impact on its customers, employees, and communities.The RoleThe OpenData product team is looking for an experienced data analyst who will automate the collection, cleaning, transformation, and integration of data sources, as well as create data maintenance processes. This is a great opportunity for hard-working, natural problem-solvers who want to work with others in a dynamic, agile work environment.What You'll Do
- Work with product managers to understand the requirements for data collection and maintenance activities and translate them into designs and achievable tasks
- Automate the collection of publicly available data
- Develop pipelines to clean, transform, and load data into Veeva systems
- Develop processes to clean data
- Prepare documentation of processes developed
- 1+ years experience working as a data analyst or Data Engineer
- Experience in building high-quality ETL pipelines using modern technologies (e.g., Apache Spark, AWS Glue)
- Proficient in:
- SQL
- Python
- Data processing libraries and tools
- Good communication skills, especially the ability to clearly explain complex data concepts to non-experts
- Ability to translate non-technical requirements into well-designed and maintainable processes
- Team player with the highest standards of integrity, honesty, and consideration
- Proven analytical, interpretative, and problem-solving skills; attention to detail and an ability to think creatively
- Hands-on experience with:
- Linux scripts and command-line tools
- Git version control
- HTML, JavaScript, DOM, XPath Selectors