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Salary
$51k – $107k per year
Location
Remote (EMEA)
Seniority
Middle · 4+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 5, 2026. First seen by Alion on Jan 9, 2026. Veeva Systems scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Veeva Systems is an American software company founded in 2007 that sells cloud applications built specifically for the life sciences industry rather than adapted from general business software. Its products cover customer relationship management for medical representatives, clinical trial operations including electronic data capture and trial master files, regulatory submission management, quality systems, and a data business selling prescriber information. Headquartered in Pleasanton and listed on the New York Stock Exchange, it converted to a public benefit corporation in 2021 and is migrating its commercial customers off Salesforce onto its own platform.

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

Interviewing with Veeva

    We value your time and believe in a transparent hiring process. Here is the process you can expect.

  • Follow the application process and submit your resume.
  • Within 3 days, you will receive a link to a personality assessment administered by a third party, unless you have already completed it with Veeva previously.
  • Once you complete the assessment, our team will review your full application package and follow up via email with our decision.
  • If moving to the interview stage, the process is as follows:
    • A conversation with the hiring manager
    • A practical case exercise
    • A final conversation with our group's Senior Leader.
  • Once all interviews are complete, the manager will be in touch with a final decision.

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

Compensation

  • Total compensation: 45,000 - 95,000EUR
  • The total compensation range listed here has been provided to comply with local regulations and represents a potential total compensation range for this role. Please note that actual total compensation may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position's total compensation may be composed of other types of compensation, such as variable bonus and/or stock bonus.
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