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Retail, E-commerce, Fashion, Jewelry

Data Analyst – Buying & Demand Forecasting

New York, New York, United StatesHybridContract$30–$50 /hrPosted 1 month ago

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Role:

Data Analyst – Buying & Demand Forecasting (SQL + Coding)

Location:

Options for Remote or Hybrid (NYC)

Job Type:

Full-Time or Contract

Kyle Cavan

is a rapidly growing, women-owned college jewelry company based out of Soho, New York City. We represent 300+ University and Greek organizations, and have established ourselves as the
go-to brand for young women in the highly protected “college licensed” market.

It is our mission to create enduring jewelry for the next generation of students and alumni. If you’re excited about contributing to a dynamic and entrepreneurial environment, we’d love to meet you!

Role Overview

We are looking for a Data Analyst to support purchasing and inventory decisions through data analysis and forecasting. The role involves analyzing historical sales data, building demand forecasts, and helping optimize buying decisions. The ideal candidate is strong in SQL and has some coding experience to automate analysis and improve forecasting models.

Key Responsibilities

  • Analyze historical sales and inventory data to support buying decisions
  • Build and maintain demand forecasting models
  • Write SQL queries to extract and analyze data from databases
  • Identify trends, seasonality, and purchasing patterns
  • Develop reports and dashboards for purchasing and operations teams
  • Assist in automating reporting and forecasting processes using code
  • Provide data-driven recommendations to improve inventory planning

Required Skills

  • Strong SQL experience for querying and data manipulation
  • Experience with data analysis and forecasting
  • Advanced Excel or Google Sheets
  • Some coding experience in Python, R, or similar languages
  • Strong analytical and problem-solving skills

Preferred Qualifications

  • Experience with demand forecasting or inventory planning a plus
  • Familiarity with data visualization tools (Tableau, Power BI, etc.)
  • Experience working with large datasets
  • Experience in retail, supply chain, or e-commerce analytics

Nice to Have

  • Experience building forecasting models or predictive analytics
  • Ability to automate data workflows

How to Apply

Please include:

  • Resume
  • Example of SQL work or analytics project
  • Brief description of experience with forecasting or inventory analysis

Compensation:

This is a contractor role to start to ensure company fit. The pay range is $30-$50/hour for 32-40 hours/week depending on experience.

Benefits:

  • Complimentary Jewelry Up to $1,000
  • Flexible hours and location
  • Paid time off of up to 10 days

SEND RESUMES TO:

Elizabeth Shirley at
elizabeth@kylecavan.com

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