Supply Chain Data Analyst

About The Role

We are seeking a highly motivated and hands-on Data Scientist / Senior Data Engineer to help build and scale KPI's Closed-Loop Design Program — an initiative focused on accelerating pre-sales engineering, improving automation design accuracy, and leveraging AI-driven insights across the customer solution lifecycle. This role sits at the intersection of data engineering, applied AI & analytics, and supply chain automation solution design. You will work closely with solution architects, engineering teams, and business stakeholders to transform RFPs, customer requirements, and historical project data into intelligent, repeatable outputs that drive faster and more accurate proposal development. This is an exciting opportunity for someone who enjoys building systems from the ground up, solving complex operational problems, and influencing how advanced automation solutions are designed and delivered.

What You'll Deliver: High-Impact Use Cases

• RFP & Specification Intelligence: Extract requirements, generate compliance matrices, and identify clarifying questions automatically.
• Cost & ROI Scenario Modeling: Support data-driven decision-making through option comparisons and sensitivity analysis.
• Proposal "Fact Pack" Automation: Create scalable executive summaries and SOW-ready proposal content from governed datasets.
• Design & Operational Analytics: Analyze throughput, staffing models, slotting strategies, and replenishment impacts.
• Benchmark-Driven Solution Guidance: Leverage historical project data and comparable implementations to guide future designs.

What You'll Do

• Build and maintain curated datasets using Databricks (Delta tables, jobs, SQL Warehouses) and SQL-based governed reporting tables.
• Ingest and manage full pursuit lifecycle artifacts including RFPs, specifications, drawings, and addenda with proper metadata and version control.
• Develop applied analytics solutions including forecasting, scenario modeling, optimization (LP/MILP or practical heuristics), and similarity modeling and benchmarking.
• Publish reliable datasets and insights for Tableau Cloud consumption with consistent business definitions.
• Establish a closed-loop learning cycle by comparing design assumptions against operational outcomes to continuously improve benchmarks and estimate accuracy.
• Partner cross-functionally with engineering, analytics, and solution design teams to improve automation decision-making at scale.

What Success Looks Like

In this role, you will help KPI: accelerate proposal development with intelligent, governed "first draft" solution packs; improve confidence and accuracy in complex automation pursuits; build scalable benchmarking capabilities that improve operational estimates over time; and create data products that directly influence automation strategy and customer outcomes.

Requirements

Required Qualifications

• 4+ years of experience in data science, analytics engineering, or applied machine learning with proven production delivery experience.
• Strong SQL skills including data modeling, query optimization, and governance-ready dataset development.
• Hands-on experience with Databricks (Delta Lake, notebooks, jobs, SQL Warehouses) or similar enterprise data platforms.
• Strong Python experience preferred for data preparation, modeling, and workflow automation.
• Ability to communicate assumptions, risks, and analytical outcomes clearly to technical and non-technical stakeholders.

Preferred Qualifications

• Experience in warehouse automation or intralogistics environments: AMRs, AutoStore, shuttle systems, sortation, WES/WCS platforms.
• Experience with forecasting, optimization, simulation / digital twin technologies, or decision-support analytics.
• Familiarity with document parsing and extraction workflows for RFP/specification processing.
• Tableau experience including curated dataset publishing and dashboard performance optimization.

Benefits

• Medical Insurance
• Dental Insurance
• Vision Insurance
• Health Care Concierge Service
• 401(k) Retirement Plan (Pre-tax & Roth)
• Company paid Basic Life Insurance, Short-Term Disability & Long-Term Disability
• Voluntary Life & AD&D Insurance
• Voluntary Accident, Critical Illness & Hospital Indemnity Insurance
• Pet Insurance
• Milk Stork Program
• Wellness Program with gift card redemption and wellness challenges
• Paid Time Off (Vacation, Sick & 10 Holidays)
• Training & Development