Enterprise Data Analytics Lead

Role: Enterprise Data & Analytics Lead

Location: Parsippany, NJ (Onsite)

Type: Contract

• A senior, hands-on data and analytics lead who can build the North America analytics function from scratch, own the roadmap and KPI definitions, and personally use advanced SQL and Power BI to solve supply chain and logistics problems while coordinating delivery with HQ engineering and WMS/TMS vendors.

Role Overview:

• Our client is hiring its first dedicated Enterprise Data & Analytics Lead for North America. This senior, hands-on individual contributor will build the regional analytics capability from the ground up, develop the roadmap and business cases, establish data and governance standards, and deliver solutions that improve business decisions and operational performance.
• The Lead will own regional priorities, requirements, KPI definitions, solution design, adoption, and business outcomes. They will lead contractors, manage local WMS and TMS vendors, and partner with the Headquarters Analytics team for platform engineering and production delivery. Candidates must be comfortable writing complex SQL, prototyping in Power BI, and troubleshooting data and reporting issues directly.

Key Responsibilities

• Build and prioritize the North America data and analytics roadmap in alignment with regional business needs and Headquarters Analytics strategy.
• Partner with Supply Chain, Logistics, Operations, Finance, and other business teams to assess current reporting and data quality, define use cases and KPIs, and embed analytics into recurring decisions and workflows.
• Own regional data architecture, data models, and governance. Establish practical standards for KPI definitions, data ownership, quality, lineage, access, documentation, and support.
• Write SQL to extract, analyze, reconcile, and validate enterprise data. Investigate discrepancies across dashboards, source systems, and spreadsheet-based reporting.
• Build Power BI prototypes, dashboards, and semantic models using DAX and Power Query. Partner with Headquarters Analytics to scale successful solutions for production.
• Manage local WMS and TMS vendors delivering data feeds into the enterprise data warehouse. Own source-to-target mappings, interface requirements, milestones, reconciliation controls, testing, defect resolution, and knowledge transfer.
• Review and validate technical designs, data models, SQL, pipelines, and integrations delivered by Headquarters Analytics and external partners.
• Identify opportunities to apply forecasting, predictive analytics, generative AI, and AI agents to improve operations. Track adoption, reductions in manual reporting, data quality, and measurable business value.

Priority Analytics Areas

• Revenue, orders, backlog, margin, profitability, and customer and channel performance
• Order-to-cash, deductions, disputes, accounts receivable, and days sales outstanding (DSO)
• Inventory availability, aging, turns, demand planning, and forecast accuracy
• Warehouse and transportation performance, fill rate, on-time delivery, and on-time in-full (OTIF)

Required Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, Mathematics, Statistics, Business Analytics, or a related discipline.
• 15+ years of progressive experience in data and analytics, BI, data engineering, data architecture, or a related area, with demonstrated ownership of a significant analytics capability, platform, program, or enterprise data solution.
• Advanced hands-on SQL skills, including complex joins, aggregations, CTEs, window functions, reconciliation, and data quality analysis.
• Strong hands-on Power BI experience, including semantic modeling, DAX, Power Query, security, refresh, and performance optimization.
• Experience with enterprise data warehouses, dimensional modeling, master data, metadata, and data lineage.
• Working knowledge of Microsoft Fabric, Snowflake, or a comparable enterprise data platform.
• Ability to independently investigate complex data issues, translate business questions into measurable analytics solutions, and coordinate delivery across business, engineering, and vendor teams.

Preferred Qualifications

• Experience with StarRocks.
• Experience with ERP, WMS, TMS, CRM, EDI, planning, or e-commerce data.
• Experience applying predictive analytics or AI agents to improve operational efficiency, especially in supply chain or logistics.
• Experience implementing data governance and data quality practices in a global organization.