The RoleVeeva 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 role leads a team of 6-8 data analysts with a strong focus on website data extraction. The team 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 team will work on classic analytical tasks, like ad-hoc reports and visual reporting.What You’ll DoLead a team of 6-8 analysts,



including hiring and performance managementManage the team’s workload together with product managersEnsure the quality of the extracted dataSelect the right tools for data extraction and crawling for the teamEnsure timely delivery of extracted data and reportsRequirements3+ years of experience leading a technical teamStrong understanding of good practices, like version control or code reviewsHands on experience building robust and scalable crawlersSolid understanding of data structures and data modelsProject and task management skillsBasic understanding of PythonNice to HaveExperience with crawling tools like Mozenda or ZyteExperience with RedshiftExperience with Veeva products, like NetworkUnderstanding of tool evaluation procedures and vendor selectionUnderstanding of master and reference data managementPerks & BenefitsBenefits package including Restricted Stock Units (RSUs), family health insurance and contributions to private pension plans where applicableAnnual allocations for charitable contributionsFitness reimbursementWork anywhereCompensatio

📌 Manager Data Extraction (Madrid)
🏢 Veeva Systems
📍 Madrid