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Veeva

Process Expert Data Operations

Posted Yesterday
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Remote
Hiring Remotely in Barcelona, Cataluña
Mid level
Remote
Hiring Remotely in Barcelona, Cataluña
Mid level
The Process Expert in Data Operations will enhance processes across teams, improve tools, and manage change projects while supporting efficiency and automation.
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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


The Link and OpenData vision is to become the global leader in deep and reference data for life sciences. The core of our products is manually curated data captured using rule-based web research. We create high-quality data through efficient processes.

 

As a Process Expert in Data Operations, you will improve processes across all operations teams. You will support the teams in simplifying and increasing the resilience of processes. You will be hands-on in improving our tools. You will improve interfaces between teams. You will ensure your improvements are carried out throughout the organization. You will work closely with the Director of Data Operations.

 

This role will enable you to gain a broad and deep understanding of our data operations and, by that, learn about the different Link and OpenData products. You will work on a broad range of projects with many different stakeholders.

 

To thrive in your role, you need to be strong in conceptual thinking while being hands-on. You are a fast learner, detail-oriented, have a growth mindset, and make decisions based on facts and KPIs. You communicate effectively with stakeholders and can deliver high-quality results within a tough timeline. You are comfortable working remotely in an international environment.

What You'll Do

  • Shadow the curation processes
  • Simplify processes and process documentation
  • Increase automation in our tools, incl. sheets, reports, dashboards
  • Manage change projects with 10+ teams
  • Upskill the team on process excellence

Requirements

  • 3+ years of work experience in fast-paced environments, e.g., consulting, start-up, a tech company
  • Experience in improving processes
  • Experience in leading cross-functional teams
  • Worked or studied in international environments
  • Excellent written and verbal English skills

Nice to Have

  • Data Analysis skills (e.g., SQL, Python)
  • Work experience in operations
  • Work experience in data product companies

Perks & Benefits

  • 1% charitable giving program
  • Medical private insurance
  • Private pension plan
  • Life insurance
  • Fitness reimbursement

#RemoteSpain


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

Python
SQL

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