Supply Chain Analytics Specialist

Tom Weston

Part-time · Mid-level · Chicago

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About the role

We run a third-party logistics operation. Three fulfilment centres — one in Ohio, one in Texas, one in Nevada. We handle warehousing, pick-and-pack, and last-mile carrier management for about 45 e-commerce clients, mostly mid-market brands doing between $5M and $80M in annual revenue. We shift approximately 7,500 SKUs and process about 9,000 orders a day at peak. The work is operational. The problems are operational. Our clients care about on-time delivery rates, picking accuracy, carrier cost per unit, and whether their inventory counts in our WMS match what our reports say. Currently those metrics are tracked manually in a combination of spreadsheets and exports from our WMS system that our operations manager reviews on Mondays. It works. It is not good enough to run a growing business on. We are hiring a part-time analytics specialist — two or three days a week — to build the reporting infrastructure we should have had two years ago, and then maintain it and support our operations team in using it to make better decisions. This is not a machine learning role. It is not a role that requires a PhD. It is a role for someone who is genuinely good at wrangling operational data and turning it into useful information.

Responsibilities

Build the core operational reporting suite: carrier performance, picking accuracy, inventory reconciliation, and order cycle time
Automate the weekly operations report that currently takes our operations manager three hours to produce manually
Analyse carrier cost and performance data to support annual carrier negotiation cycles
Build a basic demand forecasting signal from order history to support seasonal staffing and inventory positioning discussions with clients
Document every data source, transformation, and metric definition — operational data systems change and the documentation needs to survive those changes

Requirements

3+ years of analytics or data analysis in an operations, logistics, or supply chain environment
SQL for extracting and transforming data from our WMS and carrier APIs — this will be 60% of the technical work
Python for data pipeline automation and report generation
Tableau for building carrier performance, inventory accuracy, and order fulfilment dashboards that our operations team will use daily
Statistics at a practical level: identifying genuine trends versus noise, communicating uncertainty, and not drawing conclusions that the data does not support
Scikit-learn or equivalent for basic forecasting — we would like to start with a simple demand signal before considering anything more complex

Benefits

$44,000 – $54,000 pro-rated to 2–3 days per week
Fully remote — we have no office, only warehouses, and warehouses are not where analytics work happens
Flexible schedule within standard US business hours
Small team where your work will have immediate visible impact on real operational decisions
Growth path to a full-time role if the company\'s growth trajectory continues as expected