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CodeX Tech-IT LLC - remotehey
CodeX Tech-IT LLC

Data Analyst

united states / Posted
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About the Company

We are seeking an experienced Data Analyst to support the Returns Customer Experience function by driving data-driven insights and process improvements. This role focuses on analyzing large datasets, building scalable reporting solutions, and partnering with cross-functional teams to enhance transportation and returns operations.

About the Role

The ideal candidate has strong analytical and problem-solving skills, experience with data modeling, and the ability to translate complex data into actionable business insights. This position requires ownership, adaptability, and the ability to work effectively in ambiguous environments.

Responsibilities

  • Retrieve, clean, and analyze data using Excel, SQL, and data management tools
  • Monitor key performance metrics and identify trends, risks, and improvement opportunities
  • Design, develop, and maintain automated dashboards and reporting systems
  • Partner with internal and external stakeholders to solve business problems using data
  • Translate business requirements into analytical solutions and actionable insights
  • Present findings and recommendations to leadership through clear reports and documentation
  • Drive process improvements through data-backed decision-making
  • Work independently on complex projects with minimal supervision

Qualifications

  • Bachelor’s degree in Business, Engineering, Mathematics, Economics, Supply Chain, or related field

Required Skills

  • Strong experience with data analysis using MS Excel and SQL
  • Experience with data visualization tools (Power BI, Tableau, or similar) preferred
  • Strong analytical, problem-solving, and critical thinking skills
  • Ability to communicate complex insights to both technical and non-technical stakeholders
  • Experience working with large datasets and building scalable reporting solutions

Preferred Skills

  • Experience in transportation, supply chain, or operations analytics
  • Knowledge of data modeling and automation techniques
  • Ability to manage multiple priorities in a fast-paced environment