Data Analyst
hace 1 semana
Veeva Systems, Inc. is a pioneering organization in the industry cloud, dedicated to helping life sciences companies accelerate the delivery of therapies to patients. As a rapidly growing SaaS company, we have achieved significant revenue milestones, with a strong growth trajectory ahead.
Our core values drive our mission: Integrity, Customer Success, Employee Success, and Speed. We are a public benefit corporation, committed to balancing the interests of our stakeholders, including customers, employees, society, and investors.
As a Work Anywhere company, we offer flexibility for our employees to work from home or in the office, allowing them to thrive in their ideal environment.
About the RoleWe are seeking an experienced Data Analyst to join our Veeva Link product team. The successful candidate will play a key role in developing and implementing a data governance framework, ensuring the quality of scientific leader profiles for our product.
Key Responsibilities- Develop and manage data policies, standards, and processes to ensure data quality and integrity.
- Establish processes to proactively detect, correct, and prevent invalid data values, ensuring compliance with organizational standards.
- Ensure the high quality of key people profiles, including scientific leaders.
- Develop data quality metrics to identify gaps and ensure compliance with standards across the organization.
- Collaborate with operational and software development teams to remediate identified gaps using manual and automated solutions.
- Prepare weekly data quality reports and updates to stakeholders.
- University degree in medicine or life sciences.
- Proven experience in a data analytical role, with a strong understanding of data governance principles.
- Proficient computer skills, with expertise in Microsoft Office or Google Suite.
- Experience with SQL query writing and scripting, preferably in Python.
- Ability to work with data, make data-driven decisions, and communicate effectively with stakeholders at all levels.
- Organizational skills, with the ability to manage multiple timelines, projects, and schedules.
- Analytical skills, with the ability to identify problems and develop strategic solutions.
- Experience in developing manuals, process outlines, and implementation procedures.
- Experience with data analysis tools, such as Knime or Tableau.
- Comfortable working in an agile environment.
- Experience with Atlassian Jira.
- Experience with healthcare/pharmaceutical data.
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