Data Analyst

  • Location: New York, NY
  • Type: Direct Hire
  • Hybrid
  • Job #8724

The Data Analyst will be responsible for analyzing large sets of data and creating reports to support business decisions. Focus will be on using data driven analysis to identifying trends and issues. 

The ideal candidate should have a Master’s degree in a relevant field such as statistics, mathematics, economics or computer science, and a strong understanding of data analysis methodologies.  Role will be working with internal cross functional teams across the company as well as external teams.   


  • Analyze large datasets using statistical methods to identify trends, patterns, and insights

  • Develop and maintain data models, dashboards, and visualizations to support business decision-making

  • Collaborate with cross-functional teams to identify opportunities for data-driven insights and improvements

  • Communicate findings and recommendations to stakeholders in a clear and concise manner

  • Monitor data quality and perform data cleansing as needed

  • Align with and help establish / manage data governance standards to support overall corporate reporting and KPIs

  • Stay up-to-date with industry trends and advancements in data analysis techniques and tools

  • Other related duties as assigned


  • Strong analytical skills and proficiency with data analysis tools such as SQL, Python

  • Experience with data visualization tools such as Tableau or Power BI

  • MicroStrategy strongly preferred 

  • Strong attention to detail and ability to manage multiple tasks and priorities in a fast-paced environment

  • Excellent communication and collaboration skills

  • Knowledge of statistical analysis methods and techniques

  • Familiarity with machine learning algorithms and techniques is a plus

  • Supply chain and commercial background within the fashion industry (retail / wholesale)

Estimated Compensation: $80,000.00 - $110,000.00 Per Year
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Vanda AlvesVanda Alves

Recruiting Director, Data Engineering & Analytics/BI

(201) 537-0011

LinkedIn profile



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