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Macalogic

Data Analyst

Macalogic

Data Analyst providing analytical support to the Department of Commerce while enabling data within the International Trade Administration. Analyzing data issues and supporting ETL and data visualization processes.

Posted 6/2/2026full-timeRemote • 🇺🇸 United StatesJuniorMid-Level💰 $85,000 - $95,000 per yearWebsite

Tech Stack

Tools & technologies
AzureCloudETLPythonSQL

About the role

Key responsibilities & impact
  • Provide data analysis support to the Department of Commerce (DOC), International Trade Administration (ITA).
  • Perform analysis of all data into, out of and within Department of Commerce as needed.
  • Identify and quantify data issues within the organization and assist in the development of plans to resolve these issues.
  • Be proficient in data visualization concepts.
  • Have knowledge and experience with analytical expression languages.
  • Generate general-purpose scripting.
  • Create end-to-end data preparation workflows.
  • Collaborate with enterprise data analysts and data engineers to identify and acquire data.
  • Execute the processes to transform data, create data models, visualize data, and share data assets.

Requirements

What you’ll need
  • Bachelor’s Degree in math, statistics, operations research, economics or related quantitative discipline
  • Minimum of 2 years’ experience performing in a data analyst role
  • Knowledge and expertise supporting enterprise data engineering
  • Experience with various analytics platforms
  • Experience with cloud data services
  • Knowledge and expertise supporting multiple AI/ML initiatives
  • Experience with Azure Data Factory, SQL Server, APIs, Python, Power BI, ETL orchestration, and Dev/Sec/Ops practices
  • Excellent oral, written, and communication in English.
  • U.S. Citizen or Similar

Benefits

Comp & perks
  • generous benefits package

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
data analysisdata visualizationanalytical expression languagesscriptingdata preparation workflowsdata transformationdata modelingAI/ML initiativesETL orchestrationDev/Sec/Ops practices
Soft Skills
communicationcollaboration