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 RoleOpenData Clinical is global reference data on sites and investigators.
As one of our Senior Data Analysts, you will be the subject matter expert for questions regarding OpenData Clinical data structure and quality.
You will ensure the data we use meets the product goal and provide data analysis for the various stakeholders.
You will closely work 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 a life science background or experience working with life science data, with substantial 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.
We care about a great cultural fit.
You should enjoy working at speed in multi-cultural teams.
We are the optimal fit if you are excited about data, Life Sciences, and working for a fast-growing tech company.
What You'll DoAssure that data quality and compliance meet our high standardsMonitor data delivery to productExtract data from databases (e.g., Redshift, Mongo DB)Analyze large data sets and generate insightsIdentify data gaps and quality issues and provide root cause analysisPerform ad-hoc analysis and create customized reports for various stakeholdersRequirementsUniversity degree in an analytical or technical field, e.g., bioinformatics, applied mathematics3+ years of working experience in data analysis or data quality, with life science data experienceExperience in complex organizational structures, reporting to senior managementProven track record managing data analytics projectsAdvanced SQL skillsProficient in Python for data manipulation and analysisExperience with large databases and complex datasetsSkilled in data visualization tools (e.g.
)
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