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Data Quality Expert
2 semanas atrás
Veeva Systems, Inc. is a mission-driven organization that has pioneered industry cloud solutions to help life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we have achieved significant growth and are poised for continued expansion.
About Us
We are committed to fostering a culture of inclusion and diversity, recognizing that our unique perspectives and experiences make us stronger as a team. Our values – Do the Right Thing, Customer Success, Employee Success, and Speed – guide our decision-making and actions every day.
The Role
As a Senior Data Operations Analyst, you will play a critical role in creating the Industry Cloud for Life Sciences. This involves leveraging cloud technology, data, and consulting to improve efficiency across the industry. You will be responsible for ensuring data accuracy, aligning it with product goals, and providing actionable insights to stakeholders.
Key Responsibilities
• Ensure data quality and compliance meet our high standards
• Extract data from databases (e.g., Redshift, Mongo DB)
• Analyze large datasets and generate insights
• Identify data gaps and quality issues and provide root cause analysis
• Build and maintain a technical data model (entity relationship diagram)
• Create customized reports and dashboards for internal stakeholders
Requirements
• 3+ years of experience in data analysis or data quality
• Proven experience managing data analytics projects and reporting to senior management
• Advanced SQL, Python, or R skills for data manipulation and automation
• Proficiency with data visualization tools (e.g., Tableau, Power BI)
• Strong communication skills in English
• Based in Spain or Portugal
• Technical background in life sciences data or related fields
• Strong analytical skills with large, complex datasets
• Detail-oriented, quick learner with a growth mindset
• Ability to work in a fast-paced, remote, international environment
• Passionate about data, life sciences, and contributing to a growing tech company
Nice to Have
• Lean Six Sigma, PMP, or relevant certifications in data analysis or life sciences
• Familiarity with cloud platforms (e.g., AWS, Google Cloud) for data storage and analysis
• Familiarity with automation tools or workflows to streamline data processing
• Basic knowledge or experience with machine learning algorithms and applications
• Knowledge of best practices for data governance, quality control, and compliance (e.g., GDPR)
• Ability to work with diverse teams (e.g., product, engineering, operations) to align data strategies with business objectives
• Strong problem-solving skills with the ability to troubleshoot data-related issues efficiently
• Proficiency in other languages would be beneficial in an international team environment
Perks & Benefits
• Medical private insurance
• Dental Cover
• Income protection
• Private pension plan
• Life insurance
• Travel Insurance
• Fitness reimbursement
