📅 Aug 20
Leads data systems, analytics, and a team of analysts and engineers, shaping product insights and client-specific measurement while building a scalable, AI-ready data platform for life sciences.
Data Analytics Lead - Veeva Ostro
📅 Aug 20
SQLPythonData ModelingQuantitative Analysis
📜 Description
- Upgrade data architecture with platform and data engineers to make it high-fidelity, AI-ready, and accessible to internal and external users.
- Guide integrations with select customer systems alongside solutions engineering.
- Improve standard analytics and measurement insights with the product team.
- Deliver custom analyses for clients with the client services team.
- Direct and grow a team of data analysts and data engineers.
🛠️ Requirements
- Deep, hands-on expertise in SQL / Python and strong capabilities in data modeling, advanced quantitative analysis, and working with large data sets
- Strong command of modern data architecture particularly in enabling AI readiness. You will not be the sole engineer building every component yourself, but you need enough technical depth to actively participate in the design and build
- 10+ years of progressive experience in data science/analytics and/or data engineering roles including in a managerial capacity leading teams
- Recent work experience should relate to the pharmaceutical / life sciences industry (not necessarily at a pharmaceutical / life sciences company)
- Undergrad or masters in a technical discipline (computer science, statistics, engineering, math, physics, etc.)
Full job description
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.
The Role
Veeva Ostro sits at the intersection of life sciences, marketing, and artificial intelligence. We empower pharmaceutical brands, healthcare providers (HCPs), and patients by orchestrating AI-enabled omnichannel engagement across the entire patient and prescriber lifecycle.
As the Data Analytics Lead, you will own the data systems and associated measurement analyses that sit at the intersection of our products, customers, and commercial strategy. Our products generate significant data as users ask questions and take action, and you will work with the product team to surface and execute on insights that govern how our product evolves. This data is also used by our customers in their planning efforts, and you will work closely with our client service and implementation teams to enable and deliver on customized analyses that reflect the nuances of each client’s strategy. To deliver on the above, you will proactively architect, build, and scale the next generation of our data platform to make it modern, scalable, and AI-ready.
What You'll Do
Requirements
Similar jobs
Search more Data Analyst jobs
📅 Jun 16
Own fundraising market and client data analysis, turn findings into trusted research and benchmarks, and equip Sales and Customer Success with persuasive insights while presenting thought leadership to the sector.
Manager, Forward Deployed Healthcare Analytics
🕒 3 days ago
Cohere Health👥 501 - 1000 employees🏢 Healthcare🤝 B2B
🕒 3 days ago
Leads client-facing healthcare analytics programs, guiding teams and clients in designing and delivering prior authorization automation while improving platform performance, analytics, and customer outcomes.
🔥 12 hours ago
Leads reporting, dashboarding, and performance analysis, translating business questions into reliable analytics and actionable insights for internal and client stakeholders while improving metric consistency and delivery.
🔥 16 hours ago
Build and maintain BigQuery data models, marketing and sales pipelines, and Looker Studio reporting while investigating discrepancies, improving data quality, and explaining metrics to business teams.