Manager, Quality Analytics

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.

• 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.

• 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.

• 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.

• Background in quality data analytics within the pharmaceutical industry.
• Experience in developing integrated, cross-modality, and cross-GxP metrics and analysis.