Ops Data Analytics Manager

How to Maximize

your opportunity to do rewarding work,

your future leadership potential,

and your career growth?

Join an Industry Leader

Become one, too!

Octapharma Plasma offers professional opportunities that make a meaningful difference. We enhance the lives of patients who need our life-saving medicines.

We reward the donors who provide the plasma we collect to make them. And we inspire growth and development in the teams at our donation centers, offices, and labs.

We invite you to do the same in this role :

Ops Data Analytics Manager

This Is What You’ll Do :

• Data Strategy Development :
• Design and implement a comprehensive data analytics strategy that aligns with the company's operational goals, focusing on enhancing the performance of donor centers.
• Advanced Analytics & Predictive Modeling :
• Develop and deploy predictive models to forecast donor center performance, identify potential issues before they arise, and drive proactive decision-making across the operations department.
• Data Governance & Quality Management :
• Establish and enforce data governance practices to ensure high-quality, consistent, and accurate data is available across the organization, serving as a trusted single source of truth.
• Operational Performance Reporting :
• Create and maintain a suite of performance dashboards and reports that provide actionable insights to executive leadership, operations managers, and center directors, enabling data-driven decision-making.
• Training & Development :
• Lead training initiatives to enhance data literacy within the operations team, ensuring that managers and staff are equipped to utilize data analytics tools effectively in their daily activities.
• Continuous Improvement Initiatives :
• Leverage data analytics to support continuous improvement projects, optimizing processes such as donor scheduling, inventory management, and workforce allocation.
• Stakeholder Communication :
• Communicate complex data findings and insights to non-technical stakeholders, translating them into clear, actionable recommendations for operational improvements.
• Compliance & Risk Management :
• Utilize data analytics to monitor and ensure compliance with industry regulations, quality standards, and company policies, identifying risks and recommending mitigation strategies.

This Is What It Takes :

• Education :
• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field. A Master’s degree is preferred.
• Experience :
• 5+ years of experience in data analytics, preferably within a healthcare or life sciences environment. Experience in leading analytics teams is highly desirable.
• Technical Skills :
• Proficiency in statistical analysis, data mining, and predictive modeling using tools such as Python, R, SQL, and Excel.
• Expertise in data visualization tools like Tableau, Power BI, or similar platforms
• Strong understanding of data warehousing, ETL processes, and database management systems (e.g., SQL, NoSQL).
• Leadership and Collaboration :
• Proven ability to lead and mentor a team of data professionals, fostering a culture of continuous learning and development.
• Strong ability to collaborate with cross-functional teams, including operations, IT, and executive leadership, to translate data insights into actionable business strategies.
• Communication and Problem-Solving :
• Excellent communication skills with the ability to convey complex data findings to non-technical stakeholders.
• Strong problem-solving skills with the ability to develop data-driven solutions to complex operational challenges.
• Data Governance & Quality Management :
• Strong commitment to ensuring the accuracy, consistency, and reliability of data with experience in implementing data governance frameworks.
• Understanding of industry regulations related to data privacy and security, ensuring that all data practices comply with relevant laws and standards.
• Innovation and Adaptability :
• Innovative thinking with the ability to stay ahead of industry trends and adopt new technologies or methodologies that enhance the company’s data capabilities.
• Ability to adapt to changing business needs and priorities, quickly applying data analytics to new challenges.

Do Satisfying Work. Earn Real Rewards and Benefits.

We’re widely known and respected for our benefits and for leadership that is supportive and hands-on.

• Formal training
• Outstanding plans for medical, dental, and vision insurance
• Health savings account (HSA)
• Employee assistance program (EAP)
• Wellness program
• 401 (k) retirement plan
• Paid time off
• Company-paid holidays
• Personal time
30+ days ago