Data Analyst - Link for MedTech (Remote)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.
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 standardsExtract data from databases (e.g., Redshift, Mongo DB)Analyze large data sets and generate insightsModify existing SQL scripts to meet product needsIdentify data gaps and quality issues and provide root cause analysisBuild and maintain a technical data model (entity relationship diagram)Create customized reports and dashboards for internal stakeholdersRequirements University degree in an analytical or technical field, e.g., bioinformatics, computer science, applied mathematics1+ years of working experience in data analysis or data qualityIntermediate level of SQL (joins of multiple tables, subqueries, subquery factoring)Experience working with large databases and data setsConfident spreadsheet user (pivot tables, nested formulas)Strong written and verbal communication skills in EnglishNice to Have Work experience in life science, healthcare, pharmaceutical, or MedTechData analysis tools (KNIME)Programming (Python, R)Data visualization tools (Tableau, PowerBI)
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