Director, Quality - Philadelphia, PA, United States - Veeva Systems, Inc.

Description

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster.

Do the Right Thing, Customer Success, Employee Success, and Speed.

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.

Your role will be to lead the design, development, and scaling of our pre-sales analysis and reporting capabilities, which is designed to accelerate the Compass GTM strategy and provide customers with deep insights on the composition of the Compass data network, as well as standardize analytics approaches used to support customer requests.

Our ideal candidate will possess the capabilities to mine large data sets, integrate disparate data sets, automate repeatable reporting processes, scale reporting, and develop dashboards for internal use.

This is a great opportunity for someone who is passionate about disrupting the life science data product industry and excited about using their deep Analytics and Engineering expertise to develop reporting and tools fundamental to the success of the Compass go-to-market team.

Develop and execute a comprehensive analytics plan, showcasing the depth and breadth of the Compass data network to internal and external customers
Oversee the design and implementation of advanced data analysis and dashboards leveraging claims, prescriber, payer, sub-national, and HCP/HCO reference data sets
Develop and standardize data analysis methods for common use case support
Direct by influence and mentor a team of data analysts
Establish and enforce best practices for KPI creation, data analysis methods, data quality checks and data governance
10+ years experience with the Life Sciences industry and applying analytics to related data sets (i.e., prescription and medical claims data, prescriber data, payer data from sources such as Veeva, IQVIA, SHA, Komodo, etc.)
~ Advanced degree in Computer Science, Engineering, Data Science, Applied Statistics, or other quantitative disciplines
~ Professional experience using SQL and Python programming skills to analyze large datasets, employing libraries such as Pandas and PySpark for data manipulation and analysis
~ Data visualization experience (e.g., Tableau, Sigma, etc.)
~ Software engineering experience and/or exposure including agile methods and the usage of software development concepts and tools (e.g., distributions, statistical testing, regression analysis, cluster analyses) on healthcare data for commercial or medical research
~ A proactive, creative, and pragmatic approach to problem solving; Medical, dental, vision, and basic life insurance
~ Flexible PTO and company paid holidays
~ Retirement programs
~The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus.
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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.

If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at .