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Supply Chain IT Business Analyst; Retail

Job in Seattle, King County, Washington, 98127, USA
Listing for: Momento USA
Full Time position
Listed on 2026-07-09
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst, IT Business Analyst, Data Engineering
Salary/Wage Range or Industry Benchmark: 80000 - 120000 USD Yearly USD 80000.00 120000.00 YEAR
Job Description & How to Apply Below
Position: Supply Chain IT Business Analyst (Retail)

Supply Chain IT Business Analyst (Retail)

Location:

Seattle, WA (Remote PST Hours / Locals Preferred for Hybrid). Job Type: Long Term Contract | Any Visa.

Overview

We are seeking a Supply Chain IT Business Analyst with strong domain expertise in retail supply chain processes and hands‑on experience in data analysis and system integration. The ideal candidate will act as a bridge between business stakeholders and technical teams, ensuring accurate data flow, system alignment, and actionable insights across supply chain planning systems.

Key Responsibilities
  • Business & Functional Analysis - Collaborate with supply chain stakeholders (planning, inventory, replenishment, forecasting) to gather, analyze, and document business requirements. Translate business requirements into functional specifications and data mapping documents for IT and data engineering teams. Support implementation and enhancement of supply chain planning systems.
  • Supply Chain Data Understanding - Analyze and validate key supply chain data streams, including:
    • Inventory (On‑hand)
    • Receipts and inbound shipments
    • Orders (sales, transfers, purchase orders)
    • Forecast and demand signals
    Ensure consistency and accuracy of inputs and outputs across planning systems (e.g., demand planning, inventory optimization).
  • Data Analysis & SQL - Write and optimize SQL queries to:
    • Analyze data flows between upstream and downstream systems
    • Perform data validation and reconciliation
    • Troubleshoot data discrepancies across systems
    Support root‑cause analysis for data quality issues and system defects.
  • Data Engineering & Data Lake Awareness - Work with data engineering teams to understand and validate data pipeline processes, including:
    • Data ingestion
    • Data transformations
    • Snapshotting and historical data tracking
    Ensure proper handling of incremental and historical datasets within data lake environments.
  • Testing & Validation - Develop test scenarios, test cases, and validation procedures for supply chain data pipelines and system changes. Perform UAT (User Acceptance Testing) and support business sign‑off.
  • Documentation & Communication - Create clear, structured documentation including:
    • Functional design documents
    • Data mappings
    • Process flows
    Communicate effectively with both technical and non‑technical stakeholders.
Required

Skills & Qualifications
  • Domain Expertise - Strong understanding of retail supply chain processes, including inventory management, demand forecasting, order management and replenishment. Good knowledge of supply chain planning inputs and outputs (on‑hand, receipts, orders, forecast).
  • Technical Skills - Proficiency in SQL for data analysis and validation. Working knowledge of data lake architectures and processes such as snapshotting, incremental data loads, and data versioning.
  • Analytical Skills - Strong problem‑solving and analytical thinking abilities. Ability to trace and understand complex data flows across multiple systems.
  • Tools & Technologies (Preferred) - Experience with data platforms (e.g., Databricks, Snowflake, Azure Data Lake), supply chain systems (e.g., SAP, Oracle, Blue Yonder, O9), and visualization tools (Power BI, Tableau).
  • Preferred Qualifications - Experience working in retail industry environments. Exposure to end‑to‑end supply chain planning solutions. Familiarity with Agile/Scrum methodologies.
  • Key Competencies - Strong communication and stakeholder management, detail‑oriented with focus on data accuracy, ability to work in cross‑functional teams, documentation and presentation skills.

We are an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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