Global Logistics Data Analytics Analyst

Reposted 7 Days Ago
New Delhi, Delhi, IND
In-Office
Mid level
Hardware • Software
The Role
Build and maintain logistics data pipelines, dashboards, and reports; validate and cleanse datasets; translate business requirements into scalable data models; perform analysis to identify trends and root causes; align metrics with global KPIs and governance; prioritize analytics demand and partner with cross-functional teams to improve visibility and logistics performance.
Summary Generated by Built In

Rockwell Automation is a global technology leader focused on helping the world’s manufacturers be more productive, sustainable, and agile. With more than 28,000 employees who make the world better every day, we know we have something special. Behind our customers - amazing companies that help feed the world, provide life-saving medicine on a global scale, and focus on clean water and green mobility - our people are energized problem solvers that take pride in how the work we do changes the world for the better.

We welcome all makers, forward thinkers, and problem solvers who are looking for a place to do their best work. And if that’s you we would love to have you join us!

Job Description

Position Summary 

The Logistics Data Analytics Analyst is a key contributor within the Global Logistics Data Analytics team, driving the availability and quality of logistics data across regions. 

This role is responsible for transforming raw logistics data into actionable insights through the development of data pipelines, dashboards, reports, and analytical models. 

The position partners with cross-functional teams—including Analytics, Center of Excellence (CoE), Operations (fulfillment, transportation, trade compliance), and Performance—to deliver trusted “source of truth” metrics and insights, enabling timely and data-driven decision-making. 

A key expectation of this role is to execute analytics demand efficiently, uphold data quality standards, and continuously enhance reporting solutions to improve visibility and insight into logistics performance. 

 

Your Responsibilities: 

  • Ensure the availability and quality of logistics data by validating, cleansing, and monitoring datasets integrated into the enterprise data lake. 

  • Develop, maintain, and enhance dashboards, reports, and scorecards that provide visibility into logistics performance (service, cost, compliance, productivity). 

  • Translate business requirements into scalable data models and analytical solutions in partnership with the ISC Data Analytics team. 

  • Perform data analysis to identify trends, root causes, and opportunities, enabling operational and strategic decision-making. 

  • Ensure alignment with global KPI definitions, data standards, and governance frameworks established by analytics leadership. 

  • Execute intake and prioritization of analytics demand by documenting requirements and delivering solutions within agreed timelines. 

  • Partner with cross-functional teams (Operations, CoE, Performance, GPO) to deliver analytics solutions aligned with logistics priorities. 

  • Continuously improve data visualization, reporting efficiency, and storytelling techniques to drive user adoption and business impact. 

 

The Essentials – You Will Have: 

  • Bachelor’s degree in Supply Chain, Logistics, Industrial Engineering, Computer Science, Data/Analytics, Statistics, Business, or related field. 

  • 2–5 years of experience in logistics, transportation, supply chain, or data analytics. 

  • Experience working with data visualization tools (e.g., Power BI, Tableau), data manipulation tools (e.g., SQL, Excel, Python), and logistics ERP systems. 

  • Advanced English communication skills (written and verbal), with the ability to effectively interact in a global, cross-functional environment. 

  • Strong technical ability to develop analytics solutions, combined with the capability to understand and translate end-to-end logistics processes and business requirements into actionable outcomes. 

 

The Preferred – You Might Also Have: 

  • Experience supporting analytics initiatives within logistics or end-to-end supply chain environments (transportation, fulfillment, trade compliance). 

  • Familiarity with data governance practices, KPI standardization, and data quality management in a global environment. 

  • Experience working with enterprise data platforms and systems (e.g., data lakes, Databricks, SAP, TMS, WMS). 

  • Ability to communicate analytical insights effectively through data storytelling, influencing stakeholders and driving business impact. 

  • Experience with data pipeline development or dataflows in enterprise analytics environments. 

Rockwell Automation’s hybrid policy aligns that employees are expected to work at a Rockwell location at least Mondays, Tuesdays, and Thursdays unless they have a business obligation out of the office.

Skills Required

  • Bachelor's degree in Supply Chain, Logistics, Industrial Engineering, Computer Science, Data/Analytics, Statistics, Business, or related field
  • 2-5 years of experience in logistics, transportation, supply chain, or data analytics
  • Experience with data visualization tools (Power BI, Tableau)
  • Experience with data manipulation tools (SQL, Excel, Python)
  • Experience with logistics ERP systems
  • Advanced English communication skills (written and verbal)
  • Ability to develop analytics solutions and translate end-to-end logistics processes into outcomes
  • Hybrid work schedule requiring on-site presence at company location at least Mondays, Tuesdays, and Thursdays
  • Experience supporting analytics initiatives within logistics or end-to-end supply chain environments (transportation, fulfillment, trade compliance)
  • Familiarity with data governance, KPI standardization, and data quality management
  • Experience with enterprise data platforms and systems (data lakes, Databricks, SAP, TMS, WMS)
  • Experience with data pipeline development or dataflows in enterprise analytics environments
  • Ability to communicate insights through data storytelling and influence stakeholders

Rockwell Automation Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Rockwell Automation and has not been reviewed or approved by Rockwell Automation.

  • Healthcare Strength — Healthcare coverage is described as comprehensive, spanning medical, dental, vision, mental‑health support, disability and life insurance, and wellness resources. Multiple plan choices and supportive programs contribute to the package feeling well‑rounded.
  • Retirement Support — Retirement benefits include a 401(k)/Retirement Savings Plan with employer matching that is positioned as a meaningful part of total compensation. These offerings reinforce longer‑term financial security as a core strength.
  • Parental & Family Support — Paid parental leave was expanded and a paid caregiver leave was added, indicating clear support for family needs. These policies are complemented by flexibility signals and dedicated paid volunteer time.

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The Company
HQ: Milwaukee, WI
22,000 Employees
Year Founded: 1903

What We Do

At Rockwell Automation, we connect the imaginations of people with the potential of technology to expand what is humanly possible, making the world more intelligent, more connected and more productive.

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