Manager, Quality Analytics

Job-ID32261212Reference26-00596 Job Description: We are seeking a highly skilled and experienced Manager, Quality Analytics to join our Quality Assurance team. This role is pivotal in driving data-driven decision-making and strategic process improvements within our Quality organization. The ideal candidate will have expertise in building Power BI dashboards, working with Snowflake data tables, and a strong background in quality data analytics, preferably within the pharmaceutical industry. Responsibilities: Design, develop, and maintain user-friendly data visualizations and dashboards using complex datasets from various sources, including Power BI and Snowflake. Lead the active management of metrics programs and quality data analytics activities. Develop and implement data analyses, data collection systems, and strategies to optimize statistical efficiency and quality. Create ad-hoc data models, reports, and analyses to support business requirements. Leverage technical and analytical expertise to identify critical business opportunities and generate actionable insights. Continuously explore and evaluate new methods to enhance the use of data analytics for value creation. Acquire and model data from primary and secondary sources. Interpret data and analyze results using statistical techniques to optimize ongoing visualizations. Identify, analyze, and interpret trends or patterns in complex data sets. Develop descriptive, diagnostic, and predictive analytics to derive insights from data. Requirements: Bachelor's degree in a scientific or allied health field (or equivalent degree). A minimum of 8 years of work experience, including at least 2 years in a management role. Demonstrated ability to transform data into actionable insights for decision-making. Strong problem-solving, critical thinking, and analytical skills. Understanding of industry requirements and expectations for Quality Management Systems (QMS). Current knowledge of industry trends and best practices for quality management in regulated environments. Technical Skills Required: Expertise in building Power BI dashboards and working with Snowflake data tables. Proficiency in data modeling and analytical tools such as Python, R, SAS, SQL, and Alteryx. Advanced data visualization skills using tools like Spotfire, Power BI, and Tableau. Experience with scripting languages and leveraging APIs (e.g., REST APIs). Strong oral, written, and presentation skills to communicate complex concepts effectively. Preferred Skills: Background in quality data analytics within the pharmaceutical industry. Experience in developing integrated, cross-modality, and cross-GxP metrics and analysis.