Senior Data Operations Analyst

Summary

Join Veeva Systems, a leading life sciences industry cloud company, as a Senior Data Analyst. You will be the subject matter expert on OpenData Clinical data structure, pipeline, and quality, ensuring data accuracy and providing actionable insights. This role involves analyzing large datasets, identifying trends, and collaborating with cross-functional teams. You will need 3+ years of data analysis experience, advanced SQL, Python, or R skills, and proficiency with data visualization tools. The position is based in Spain and offers a flexible work environment with various benefits.

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
• Based in Spain

Responsibilities

• Assure that data quality and compliance meet our high standards
• Extract data from databases (e.g., Redshift, Mongo DB)
• Analyze large data sets 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

Preferred Qualifications

• 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

Benefits

• 1% charitable giving program
• Medical private insurance
• Dental Cover
• Income protection
• Private pension plan
• Life insurance
• Travel Insurance
• Fitness reimbursement