Lead Business Analyst - Data Analytics & Integration Job at CBX Global, Jacksonville, FL

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  • CBX Global
  • Jacksonville, FL

Job Description

We are seeking an experienced and technically proficient Lead Business Analyst to drive the development of business analytics reporting, data structure design, and system integrations. This role requires a blend of strong analytical capabilities, data modeling expertise, and cross-functional collaboration to support strategic decision-making across the organization.

Key Responsibilities:

  • Design and implement business intelligence dashboards and reports that provide actionable insights across departments.
  • Develop and maintain scalable data models aligned with business needs and reporting requirements.
  • Lead the integration of data across enterprise systems (e.g., ERP, CRM, WMS, logistics platforms) to ensure seamless and accurate information flow.
  • Collaborate with stakeholders to define KPIs, gather requirements, and deliver analytics solutions that support operational and strategic goals.
  • Analyze trends, identify data anomalies, and deliver recommendations for continuous improvement.
  • Act as the primary point of contact for understanding data relationships, integration logic, and reporting structure.
  • Ensure data integrity.

Qualifications:

  • 5+ years of experience in business analysis, data analytics, or related roles with a focus on data architecture and integration.
  • Strong proficiency in SQL, BI tools (e.g., Power BI, Tableau, Looker), and ETL processes.
  • Hands-on experience working with enterprise systems and understanding their data structures (e.g., Cargo Management Software, Magaya, TruckMate, Dynamics 365, etc.).
  • Solid understanding of relational databases, normalization, and analytical modeling.
  • Familiarity with API-based integrations and middleware platforms is a plus.
  • Ability to communicate complex technical concepts to non-technical audiences.

Preferred Traits:

  • Strategic thinker with a hands-on approach to problem solving.
  • Highly collaborative and adaptable to dynamic business needs.
  • Detail-oriented with a strong commitment to data accuracy and reliability.

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