Description:

• Partners closely with leadership team to develop and execute reporting strategy and roadmap.
• Provides guidance and training to new team members on execution of roles of responsibilities.
• Provides subject matter expertise to help define roles & responsibilities with critical stakeholders such as IT.
• Works unsupervised to manage projects with logistics partners including outlining business requirements, managing expectations, and prioritizing projects based on judgement of what provides most urgent need to business.
• Develops reports and dashboards that track logistics performance as well as create sophisticated models that forecast future KPI s.
• Provides context to performance through standardized and documented definition of KPIs in collaboration with business partners.
• Scopes, develops, and defines mechanisms for gathering data used to measure performance.
• Effectively monitors and manages the repository of reports without consultation from supervisor, when appropriate.
• Conducts initial analysis and develops insights for reports, as well as assists newer team members with conducting their analyses.
• Trains newer team members on business knowledge, technical skills, and project management, as well as provides close support and mentorship for 1-3 months after a new hire onboards.
• Supports ad hoc operational data requests and reporting.
• Identifies opportunities to streamline reporting distribution and makes recommendations to supervisors or managers on how to improve processes.

Minimum Requirements:

• Proficient in SQL (3-5 years of experience)
• Proficient in Power BI (1-2 years of experience)
• Proficient in MS Excel
• Experience or working knowledge of COGNOS (preferred but not a must)
• Experience working in Supply Chain or Logistics (preferred but not a must)
• Working knowledge of MS Power Automate
• 3 years of experience in an analytical role such as Reporting, Business Analysis, or Data Analytics; Knowledge of the basic principles of data modeling, data engineering, and data visualization.
• Bachelor s Degree or advanced degree (preferred) in Analytics, Statistics, Computer Science, Logistics, Industrial Engineering, Business, or Finance.
• Technology aptitude (Excel, SQL, Power BI/Tableau, Microsoft Power Automate).
• Experience in supply chain, operations, analytics, finance or related field a plus.
• Comfortable working with large datasets exceeding 10 million rows using various tools resources available.
• Strong attention to detail to recognize patterns and inconsistencies in data.