Logistics Business Analyst

GRIFOLS, S.A.•NC-Clayton, CA

28d•Hybrid

About The Position

The Senior Plasma Logistics Business Analyst uses data analysis to promote transparency and provide actionable insights for decision-makers. The role develops plans for process improvement and collaborates with cross-functional teams to address business issues and enhance operational efficiency. The position is based in a hybrid schedule of three days in the office and two days remote, with work performed across centers, warehouses, and an office environment. Travel of 10–30% might be required.

Requirements

Bachelor’s degree in Business Administration, Data Science, Economics, or a related field.
At least 4 years of experience in business analysis or a related field.
Proven experience leading data analysis projects.
Demonstrated experience managing medium- to large-scale projects and initiatives.
Strong understanding of data analysis techniques, tools, and methodologies.
In-depth knowledge of business processes and process optimization.
Solid understanding of project management principles and practices.
Ability to analyze complex datasets and derive actionable insights.
Excellent verbal and written communication skills, including the ability to present complex information clearly.
Problem-solving ability, including identifying problems, generating solutions, and making decisions.
Proficiency with data analysis tools such as Excel, SQL, and JMP, and business intelligence software such as Tableau and Power BI.
Ability to think strategically and influence high-level decisions.
Ability to work effectively with cross-functional teams and stakeholders.
Ability to adapt to changing business environments and priorities.
Ability to communicate complex information, listen and understand spoken information, interact with others, relate sensitive information to diverse groups, and apply abstract principles to complex conceptual issues.

Nice To Haves

Master’s degree in Business Administration (MBA), Data Science, or a related field.
Awareness of current industry trends and business analysis best practices.
Deep understanding of the plasma lifecycle, cold chain logistics, and donor center operations.
Familiarity with automation technologies such as RPA and ML-based forecasting, and ERP systems such as SAP or Kinaxis.
Awareness of evolving regulatory and data privacy standards applicable to life sciences supply chains.

Responsibilities

Lead data analysis projects and mentor junior analysts.
Ensure data integrity and accuracy to support data-driven decision-making.
Assist the OpEx team in developing and implementing process improvement initiatives to enhance operational efficiency.
Monitor and evaluate implemented initiatives and make necessary adjustments.
Facilitate training sessions on data analysis tools.
Consult with users and collaborate with cross-functional teams to address business issues.
Develop forecasts, recommendations, and strategic or tactical plans based on business data and knowledge.
Identify and interpret trends and patterns in datasets.
Produce datasets and reports for analysis using system reporting tools.
Develop and maintain business analysis plans that outline key activities, deliverables, and timelines.
Investigate business problems and opportunities within the organization.
Support business case development by defining and presenting business and technical options addressing specific objectives.
Assess costs, benefits, risks, and impacts of options to help stakeholders make informed decisions.
Mentor and support analysts and provide backup coverage.
Ensure compliance with data governance and regulatory requirements, including GxP and GDPR.