Data Analyst, Operations

RJW Logistics Group•Elk Grove Township, IL

1h•Onsite

About The Position

The Operational Data Analyst is embedded within the Operations organization and is responsible for turning operational data into insights, tools, and reporting that improve visibility, drive performance, and support data-informed decision-making across RJW’s network. This role plays a critical part in enabling accurate measurement of Continuous Improvement (CI) initiatives, helping to validate savings and operational impacts through trusted data models and visualizations. As a core member of the Operations team, the Operational Data Analyst designs, builds, and maintains scalable reporting and analytics capabilities that align with day-to-day operational needs and broader organizational priorities. This individual will be a thought leader in operational analytics, a champion of data accuracy, and a key contributor to the company’s mission of scalable excellence across warehouse, transportation, and logistics execution.

Requirements

Exceptional attention to detail
Champion fluid communication, collaboration, and continuous learning/improvement initiatives
Ability to leverage cross-functional teams to achieve team, project, and organizational goals.
Solve business problems by working both autonomously and within the construct of a team in a team oriented and collaborative environment.
Own relationships and partnerships with key internal and external stakeholders.
Understand requirements and how they translate in application features.
Identify and communicate key insights and findings to appropriate team.
Demonstrate commitment to quality and implementing best practices.
Perform root cause analysis to identify and solve complex business problems.
Curate business requirements for complex multi-function application projects.
Help identify alternate solutions, perform cost benefit analysis, and feasibility studies.
Help identify risks and develop mitigation strategies and tactics.
Help evaluate, suggest, select, and implement cost-effective solutions to meet our need.
Provide input on project schedule and accurate estimation of project deliverables.
Bachelor Degree in Information Systems, Supply Chain, Business Administration, Computer Science, or any related field required
SQL knowledge is required

Nice To Haves

Microsoft Power BI knowledge is preferred
Experience in Warehousing or Logistics is preferred.
Experience with Synapse or similar WMS software is preferred.

Responsibilities

Serve as the primary analytical resource for operational leaders, providing visibility into key performance indicators (KPIs) and operational trends across the network.
Partner with cross-functional teams to identify, measure, and monitor Continuous Improvement (CI) initiatives, ensuring accurate, data-backed evaluation of cost savings and efficiency gains.
Design and maintain scalable dashboards and reporting tools using Power BI, Excel, and SQL to support operational areas such as labor planning, throughput, inventory accuracy, space utilization, transportation, and customer performance.
Develop processes to collect, clean, and standardize data across WMS, TMS, YMS, and other operational and business systems to ensure accuracy and accessibility for analytics.
Conduct root cause analysis on operational anomalies (e.g., missed trailers, short picks, delayed shipments, inventory variances, service failures), providing actionable insights to operational leadership.
Create forecast models and trend analyses to support staffing, order volume, and outbound capacity planning.
Partner with operational leadership, CI, and IT to define reporting requirements, establish performance metrics, and automate recurring reporting tasks.
Provide ad hoc analysis to support strategic projects, pricing evaluations, and customer-specific performance reviews.
Act as a data steward and internal consultant, supporting adoption of a data-driven culture by helping team members interpret reports and understand key metrics.
Assist in the documentation and training of reporting processes to ensure sustainability and reduce reliance on key individuals.
Stay informed on industry benchmarks and analytics best practices to recommend tools, techniques, and strategies that support RJW’s operational excellence.