Analytics Engineer - OpenData EMEA (Remote)

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 engineer role will create maintenance jobs to transform, clean and validate data from a variety of sources. The data is handed over to our data platform for processing using Python.

The role has a significant impact on customer success, as it is ensuring the freshness, availability and quality of data for our customers. In addition to data acquisition and modeling of data, the role will work on classic analytical tasks, like ad-hoc reports and visual reporting too.

What You'll Do

• Configure and maintain robust, scalable crawlers
• Build reports, ad-hoc and regularly
• Integrate extracted data into our OpenData platform
• Implement data quality and observability
• Collaborate with cross-functional teams to deliver solutions

Requirements

• 4+ years of experience as a data analyst using SQL
• 4+ years of experience as an analytic engineer using Python
• Strong understanding of good practices, like version control and code reviews
• Hands on experience building robust and scalable crawlers
• Solid understanding of data structures (data frames) and data models
• Experience modeling, transforming and cleaning of raw data

Nice to Have

• Experience with crawling tools like Mozenda or Zyte
• Experience with Redshift
• Experience with Dbt, Polars

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