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Sr. Logistics Analyst

Job in Newark, Essex County, New Jersey, 07175, USA
Listing for: Panasonic North America
Full Time position
Listed on 2026-07-31
Job specializations:
  • IT/Tech
    Business Intelligence
Salary/Wage Range or Industry Benchmark: 100000 - 115000 USD Yearly USD 100000.00 115000.00 YEAR
Job Description & How to Apply Below

Overview

Every moment of every day, people all over the world turn to Panasonic to make their lives simpler, more enjoyable, more productive and more secure. Since our founding almost a century ago, we’ve been committed to improving peoples’ lives and making the world a better place–one customer, one business, one innovative leap at a time. Come join our journey!

Responsibilities

Sr. Logistics Analyst

What You'll Get To Do

Data is the backbone of the Panasonic Supply Chain, and the PEXNA Logistics Data Analytics team is actively transforming how that data is accessed, trusted, and used to drive real business decisions. The Senior Logistics Analyst is the execution engine of that transformation — building automated pipelines, governing the Power BI intelligence layer, and delivering the high-quality analytical outputs that supply chain, finance, and business‑unit leaders rely on to manage performance and make strategic decisions.

This is not a steady‑state reporting role. The Senior Analyst will actively drive the elimination of manual processes while building governed, scalable replacements in their place. The role delivers advanced logistics analysis, governed Power BI solutions, automated reporting workflows, and data‑quality controls for Logistics Excellence, Logistics Operations, and business‑unit stakeholders. The Senior Analyst serves as the primary analytical point of contact for high‑priority and ad hoc requests, working with Solution Managers, Operations Managers, business units, Information Technology, and outsourced analytics resources.

The role translates business questions into simulation studies and in‑depth analysis, coordinates execution and quality review, and ensures outputs are delivered accurately and on the timelines committed to stakeholders.

Power BI & Self‑Service Intelligence
  • Design, build, and govern Power BI dashboards and key performance indicator frameworks for inbound, warehouse, outbound, carrier, freight cost, inventory, project savings, and executive reporting — with governed self‑service as the primary design objective, not the afterthought.
  • Own the business intelligence product lifecycle — from stakeholder discovery and data modeling through DAX development, user acceptance testing, deployment, documentation, adoption, and ongoing enhancement.
  • Maintain governed semantic models, standardized measures, dataset certification, refresh cadence, workspace controls, access management, and common metric definitions — so every dashboard is trusted, consistent, and scalable across teams.
  • Develop intuitive self‑service solutions and enable business users to answer recurring questions independently using trusted, always‑current data — reducing request volume, not perpetuating it.
  • Support the Automated Daily Shop Floor and related operational intelligence solutions with Logistics Operations and the Business Intelligence and RPA team.
Logistics Excellence Analytics & Reporting Delivery
  • Serve as the primary analytics point of contact for Logistics Excellence and manage recurring, high‑priority, and ad hoc requests from Solution Managers, Operations Managers, and business units — prioritizing by impact and managing throughput using outsourced resources effectively.
  • Lead simulation studies, scenario analysis, root‑cause analysis, RFP evaluation, transportation and network cost modeling, and other in‑depth analytical work that supports operational and strategic decisions.
  • Own and deliver logistics performance scorecards, monthly business review content, financial and cost‑savings reporting, executive presentations, market intelligence, and stakeholder‑ready recommendations.
  • Provide logistics market and continuous‑improvement analytics — including ocean freight trend analysis, project baselines, savings validation, and reconciliation of results across involved parties.
  • Develop and maintain inbound and outbound transportation rating engines, applying logistics business logic and rate assumptions to benchmark modeled freight costs against actual paid invoices.
  • Coordinate outsourced analytics resources within the end‑to‑end delivery model — including work assignment, requirement clarification,…
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