Quality Analytics Manager

Vertex Inc.•Boston, MA

3d•$114,400 - $171,600•Remote

About The Position

The Quality Analytics Manager utilizes data analysis skills and tools to evaluate Vertex operations, processes, and systems and recommends strategic process improvements based on research findings. This role is a key contributor in driving data-centric decision making within the Quality organization. The role also advises and supports business partners in design and delivery of data models and data analysis that enhance Vertex delivery and oversight.

Requirements

Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
Experience in developing queries, report writing, and data visualization
Knowledge of statistics and experience using statistical packages for analyzing datasets (R, SPSS, SAS etc)
Experience using data analysis and visualization applications (e.g. PowerBI, Tableau) and with data analysis techniques
Experience in the pharmaceutical and/or biotech industry or a comparable regulated industry
Awareness of regulations applicable to pharmaceutical and/or device development, manufacturing and distribution
Bachelor's degree in Mathematics, Statistics, Economics, Data Science or a related field
Typically requires 4 years of experience in data analysis and reporting or the equivalent combination of education and experience.

Responsibilities

Identifies, analyzes, and interprets trends and patterns in complex data sets and prepares ongoing reports and data visualizations to support decision-making
Develops and implements data analyses, data collection systems and other strategies that optimize statistical efficiency and quality
Generates and maintains metrics for Quality Leadership Teams to permit effective governance of Vertex quality systems and activities.
Identifies and documents data life cycles, data sources and chain of custody
Develops methods for collecting, storing, analyzing and reporting on multiple data types taken from disparate systems.
Identifies projects or initiatives that could benefit from quantitative review
Identifies and contributes to the implementation of continuous improvement opportunities