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Trade Data Consultant

Job in Minneapolis, Hennepin County, Minnesota, 55400, USA
Listing for: PeopleCaddie
Full Time position
Listed on 2026-03-11
Job specializations:
  • IT/Tech
    Data Analyst
  • Business
    Data Analyst
Salary/Wage Range or Industry Benchmark: 95 - 105 USD Hourly USD 95.00 105.00 HOUR
Job Description & How to Apply Below

Job Description

Client: Top #5 Consulting Firm
Title: Trade Data Consultant
Location: Remote (Client is in Central Time Zone)
Duration: 9-Month Project
Pay: $95-$105 per hour (W2)+1.5x (Overtime)

Overview

We are seeking a Trade Data Consultant with strong knowledge of U.S. trade regulations, customs systems, and data analytics to support compliance, reporting, and strategic initiatives for a global consulting client.

Key Responsibilities
  • Support trade compliance activities by leveraging knowledge of the U.S. Customs Automated Commercial Environment (ACE), with an emphasis on Entry Summary and Reporting modules.
  • Analyze and interpret U.S. tariff classifications, including supplemental and reciprocal tariffs (e.g., Section 232) and provisions under Chapter 99, Subchapter III of the HTSUS.
  • Manage, clean, and transform trade datasets to support compliance, audits, and advisory engagements.
  • Build reports and visualizations that summarize complex trade and tariff data for both technical and non-technical stakeholders.
  • Collaborate with consulting teams to design solutions that integrate trade knowledge with data engineering, wrangling, and analytics.
Required Qualifications
  • Familiarity with ACE system, particularly Entry Summary and Reporting modules.
  • Knowledge of supplemental tariffs, reciprocal tariffs, and HTSUS Chapter 99 (Subchapter III) provisions.
  • Strong proficiency in Microsoft Excel, including formulas such as VLOOKUP, SUMIF/COUNTIF, and dataset manipulation.
  • Data wrangling.
  • Data engineering.
  • Data visualization.
Preferred Qualifications
  • Advanced Excel skills (e.g., SORT, FILTER, UNIQUE array functions).
  • Alteryx.
  • Microsoft Power Platform (Power Query, Power BI, Power Apps) or equivalent.
  • Tableau.
  • SQL.
  • Python, R, VBA, etc.

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