Data Analyst - Link for MedTech

Data Analyst - Link for MedTech

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 vision of our Link data application family is to connect life sciences with key people to improve research and care. Link for MedTech is a real-time customer intelligence tool for Marketing, Medical Affairs, and MSL teams to build and execute engagement plans with key people in a compliant way.  

As one of our Data Analysts, you will be the subject matter expert for questions regarding the MedTech data structure and quality. You will make sure the data we use meets the product goal and provide data analysis for the various stakeholders. You will be closely working with product management, data operations, data governance, software engineering, and quality assurance teams.

To thrive in your role, you need to have an academic background in the technical field and initial working experience with data analytics, large databases, and complex data sets. You are a fast learner, detail-oriented, have a growth mindset, and can turn data into valuable insights. You communicate effectively with stakeholders and can deliver high-quality results within a tough timeline. You are comfortable working remotely in an international environment.

We care about a great cultural fit. You should enjoy working at speed in multi-cultural teams. If you are excited about data, Life Sciences, and working for a fast-growing tech company, we are the optimal fit.

What You'll Do

    • 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
    • Modify existing SQL scripts to meet product needs
    • 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

    • University degree in an analytical or technical field, e.g., bioinformatics, computer science, applied mathematics
    • 1+ years of working experience in data analysis or data quality
    • Intermediate level of SQL (joins of multiple tables, subqueries, subquery factoring)
    • Experience working with large databases and data sets
    • Confident spreadsheet user (pivot tables, nested formulas)
    • Strong written and verbal communication skills in English

Nice to Have

    • Work experience in life science, healthcare, pharmaceutical, or MedTech
    • Data analysis tools (KNIME)
    • Database technologies (Redshift, NoSQL/MongoDB)
    • Programming (Python, R)
    • Data visualization tools (Tableau, PowerBI)

Perks & Benefits

    • Opportunity to work in a diverse and international workspace
    • Personal development budget
    • A significant contribution to the pension fund
    • 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.

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.
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