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Data Analyst

hace 2 meses


Barcelona, Barcelona, España Veeva Systems, Inc. A tiempo completo

About Veeva Systems, Inc.

Veeva Systems, Inc. is a leading provider of industry cloud solutions for the life sciences industry. Our mission is to help life sciences companies bring therapies to patients faster by providing innovative solutions for data management, customer engagement, and commercial operations.

Our Values

We are guided by our core values of Customer Success, Employee Success, Speed, and Doing the Right Thing. We believe in creating a positive impact on our customers, employees, and communities.

The Role

We are seeking an experienced Data Analyst to join our Veeva Link product team. As a Data Analyst, you will play a critical role in developing and implementing a data governance framework that ensures the quality and integrity of our data.

Key Responsibilities

  • Develop and implement data policies, standards, and processes to ensure data quality and integrity
  • Establish processes for continuously monitoring data quality and working with various teams to remediate identified gaps
  • Ensure the overall quality of scientific leader profiles for our product
  • Develop data quality metrics that identify gaps and ensure compliance with standards across the organization
  • Work with operational and software development teams to remediate identified gaps using both manual and automated solutions
  • Create weekly data quality reports and updates

Requirements

  • University degree in medicine or life sciences
  • Working experience in a data analytical role
  • Proficient computer skills, Microsoft Office or Google Suite
  • Exposure to SQL query writing and scripting (Python)
  • Comfortable working with data and making data-driven decisions
  • Good interpersonal skills and communication with all levels within the organization
  • Organized and able to manage multiple timelines, projects, and schedules
  • Able to analyze problems and strategize for better solutions
  • Experienced in developing manuals, process outlines, and implementation procedures

Nice to Have

  • Experience with one or more Data Analysis tools, e.g., Knime, Tableau, etc.