Offer summary

Qualifications:

2+ years of experience as a Data Analyst or in a similar role., Proficiency in SQL, Python, and Regular expressions., Experience with web scraping and data quality analysis., Strong attention to detail and good communication skills in English..

Key responsibilities:

Analyze data quality and perform data maintenance activities.

Build quality checks and validation rules to ensure data integrity.

Configure web scrapes and ETL pipelines for data integration.

Document processes and collaborate with other Data Analysts on best practices.

Job 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 $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

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 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 product managers to understand data quality requirements, data sources, and maintenance requirements

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

Perform analyses and reporting to investigate data quality and support operational activities

Develop and build ad hoc data transformations to clean data and fix quality issues

Work with the Data Engineering team to help define requirements for ETL pipelines and other repeatable processes

Coordinate with other Data Analysts on common processes, best practices, as well as peer reviews

Document processes developed and work done

Requirements

Excellent attention to detail, a meticulous approach, especially when working with data

2+ years of experience working as a Data Analyst or in a similar role.

Prior experience with Web-scraping

Understanding of: SQL, Python, Regular expressions

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 document work with precision and clarity

Good written and verbal communication skills in English

Nice to Have

Prior experience with/understanding of: Web scraping platforms, XPath selectors, Document Object Model (DOM) & AWS

Perks & Benefits

Flexible “work from anywhere” policy

#LI-Remote

Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world.

Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances.

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