Veeva Systems
Life Sciences
DataOperationsAnalyst
Neural analysis suggests this role is
optimal for Senior candidates.
“Data Operations Analyst at Veeva Systems. Skills: Data quality, Data integration. Analyze data quality. Apply data maintenance activities”
Industry & Context.
What They're Looking For.
Must Have
5+ Years of Experience in Data Analytics, Data quality requirements, Data maintenance requirements, SQL proficiency, Python proficiency, Web-scraping experience
Nice to Have
XPath selectors experience, Document Object Model experience, AWS experience
What You'll Do.
Apply data maintenance activities
Acquire publicly available data
Integrate publicly available data
Build analytics on customer data enhancements
Build analytics on white space opportunity
Work on HCP segmentation analysis
Build validation rules
Configure web scrapes
Configure ETL pipelines
How You'll Work.
Communication Scope
Written communication; Verbal communication
Full Job Description
## Description 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 $3B 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. Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities. The Role This is an opportunity for a data analyst to build experience at a growing software company, in a supportive, diverse and hardworking data team. This contract-based role involves analyzing data quality, applying data maintenance activities, and acquiring and integrating publicly available data into our proprietary data sets. ## What You’ll Do Work with the product manager to understand data quality requirements, data sources and maintenance requirements Build analytics on customer data enhancements and white space opportunity Work on HCP segmentation analysis for existing customers Build quality checks, validation rules and other processes to ensure data quality Configure web scrapes and ETL pipelines to integrate data sources into our systems Document the above processes ## Requirements 5+ Years of Experience in Data Analytics in the Pharma Industry Good understanding of Pharma Industry Excellent attention to detail, a meticulous approach, especially when working with data Prior experience with Web-scraping Understanding of: SQL & Python Demonstrated ability to interpret and follow written instructions, seek clarification where needed, and assess the output of a Web scrape against the written requirements Able to do
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