Logistics Data Analyst

The Logistics Data Analyst turns complex supply chain and logistics data into clear actionable insights that improve service reduce cost and increase operational efficiency. This role plays a critical part in enabling data-driven decision making across Transportation Distribution Customer Service Commercial Finance and IT.

With a focus on performance analytics reporting automation and data governance this individual will help elevate visibility across the end-to-end supply chain and support continuous improvement through scalable tools and standardized metrics.

Drive Performance Visibility & Insights

• Develop and manage KPIs across transportation warehousing and order fulfillment
• Analyze large datasets to identify trends risks and opportunities
• Translate business needs into clear data-driven insights and recommendations

Enable Reporting Automation & Data Integrity

• Build and automate dashboards and reporting (Power BI Alteryx etc.)
• Improve real-time visibility while reducing manual reporting effort
• Ensure data accuracy and consistency across ERP WMS TMS and other systems

Support Transformation & Continuous Improvement

• Evaluate logistics processes and identify opportunities to improve service and cost
• Partner with IT and cross-functional teams to enhance analytics capabilities
• Support implementation of new tools processes and reporting frameworks

Influence Through Data & Collaboration

• Align stakeholders on KPI definitions reporting standards and insights
• Communicate findings through clear compelling data storytelling
• Bring external best practices and innovative approaches to analytics

What Success Looks Like:

• Data you can trust: Consistent accurate and standardized metrics across systems and teams
• Faster smarter decisions: Leaders have real-time visibility and actionable insights at their fingertips
• Automation at scale: Manual reporting is significantly reduced through streamlined dashboards and tools
• Tangible business impact: Insights directly contribute to improved service levels cost savings and operational efficiency
• Adoption of tools & processes: Teams actively use and rely on new analytics capabilities
• Stronger cross-functional alignment: Clear shared understanding of performance across Logistics Operations and Commercial teams

What You Bring:

Experience & Education

• Bachelors degree required (Supply Chain Business Analytics Operations Engineering or related field preferred)
• 57 years of experience in data analytics reporting and dashboard development
• 2-3 years of experience in supply chain preferred
• CPG experience preferred

Technical Skills

• Advanced Excel (data modeling complex formulas macros etc.)
• Experience with Power BI Alteryx or similar tools
• Working knowledge of ERP WMS TMS and SQL-based data environments

Capabilities

• Strong technical skills analytical thinking and problem solving skills required
• Ability to structure ambiguous problems into clear analyses
• Effective communicator with strong data storytelling skills
• Proven ability to collaborate and influence across functions
• Continuous improvement mindset (Lean/Six Sigma a plus)

BIC World is an Equal Opportunity Employer. We strongly commit to hiring people with different backgrounds and experiences to help us build better products make better decisions and better serve our customers. We do not discriminate based upon race religion color national origin gender sexual orientation veteran status disability status or similar characteristics. All employment is decided based on qualifications merit and business need.

BIC World is not seeking assistance or accepting unsolicited resumes from search firms for this employment opportunity. Regardless of past practice all resumes submitted by search firms to any team member at BIC via email or directly to a BIC team member in any form without a valid written search agreement in place for that position will be deemed the sole property of BIC and no fee will be paid in the event the candidate is hired by BIC as a result of the referral or through other means.