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The software company powering the path to the world’s new medicines.
The Role
The role involves configuring data crawlers, building reports, integrating data into the OpenData platform, and collaborating with teams to deliver solutions.
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 $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 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.
The Role
Veeva OpenData Commercial supports the industry by providing reference data across the complete healthcare ecosystem, to support commercial sales execution, compliance, and business analytics. We drive value to our customers through constant innovation, using cloud-based solutions and state-of-the-art technologies to deliver product excellence and customer success.
The analyst role with focus on data extraction configures crawlers using our toolchain to extract data from websites. The data is handed over to our data platform for processing using Python configuration scripts. The role has a significant impact on customer success, as it is ensuring the freshness and availability of data for our customers. In addition to the crawlers, the role will work on classic analytical tasks, like ad-hoc reports and visual reporting.
What You'll Do
- Configure and maintain robust, scalable crawlers
- Build reports, ad-hoc and regularly
- Integrate extracted data into our OpenData platform
- Collaborate with cross-functional teams to deliver solutions
Requirements
- 4+ years of experience as a data analyst using SQL
- Strong understanding of good practices, like version control or code reviews
- Hands on experience building robust and scalable crawlers
- Solid understanding of data structures and data models
- Some familiarity with Python
Nice to Have
- Experience with crawling tools like Mozenda or Zyte
- Experience with Redshift
- Experience with Veeva products, like Network
Perks & Benefits
- Benefits package including Restricted Stock Units (RSUs), family health insurance and contributions to private pension plans
- Annual allocations for charitable contributions
- Fitness reimbursement
- Work from anywhere
#RemotePortugal
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].
Top Skills
Crawling Tools
Python
Redshift
SQL
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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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