Veeva Systems

Life Sciences

DataOperationsAnalyst

₹22–35L ~AI est. Mumbai, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Data Operations Analyst at Veeva Systems. Skills: Data quality, Data integration. Analyze data quality. Apply data maintenance activities”

Industry & Context.

Life Sciences

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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