Logistics Business Analyst

GRIFOLS, S.A.•NC-Clayton, CA

8d•Hybrid

About The Position

The Senior Plasma Logistics Business Analyst leverages data analysis to promote transparency and provide actionable insights for decision-makers. The incumbent also works on process improvement by constructing plans and collaborating with cross-functional teams to address business issues and enhance operational efficiency.

Requirements

Advanced Data Analysis: Strong understanding of data analysis techniques, tools, and methodologies.
Business Processes: In-depth knowledge of business processes and how to optimize them.
Project Management: Solid understanding of project management principles and practices.
Industry Trends: Awareness of current industry trends and best practices in business analysis.
Plasma Logistics: Deep understanding of plasma lifecycle, cold chain logistics, and donor center operations.
Technology Integration: Familiarity with automation technologies (e.g., RPA, ML-based forecasting) and ERP systems like SAP or Kinaxis.
Compliance: Awareness of evolving regulatory and data privacy standards applicable to life sciences supply chains.
Analytical Skills: Ability to analyze complex data sets and derive actionable insights.
Communication Skills: Excellent verbal and written communication skills, including the ability to present complex information clearly.
Problem-Solving Skills: Proficiency in identifying problems, generating solutions, and making decisions.
Technical Skills: Proficiency with data analysis tools (e.g., Excel, SQL, JMP) and business intelligence software (e.g., Tableau, Power BI).
Strategic Thinking: Ability to think strategically and influence high-level decisions.
Collaboration: Ability to work effectively with cross-functional teams and stakeholders.
Adaptability: Ability to adapt to changing business environments and priorities.
Bachelor's Degree: Required in Business Administration, Data Science, Economics, or a related field.
4 years of experience in business analysis or a related field required.
Proven experience in leading data analysis projects
Demonstrated experience in managing medium to large-scale projects and initiatives.

Nice To Haves

Master's Degree: Preferred in Business Administration (MBA), Data Science, or a related field.

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 the effectiveness of implemented initiatives and make necessary adjustments.
Facilitate training sessions to ensure team members are proficient in using data analysis tools.
Provide consultation to users and work with cross-functional teams to address business issues.
Construct forecasts, recommendations, and strategic/tactical plans based on business data and knowledge.
Identify and interpret trends and patterns in datasets to locate influences.
Produce datasets and reports for analysis using system reporting tools.
Develop and maintain comprehensive business analysis plans outlining 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 that address specific business objectives.
Assess the costs, benefits, risks, and impacts of various options to help stakeholders make informed decisions.
Mentor, support and backup coverage of analyst.
Ensure compliance with data governance and regulatory requirements (e.g., GxP, GDPR).