

KYLE CAVAN JEWELRY
Data Analyst – Buying & Demand Forecasting
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst – Buying & Demand Forecasting, offering a contract of more than 6 months, with a pay rate of $30-$50/hour. Requires strong SQL skills, coding experience, and familiarity with demand forecasting in retail or e-commerce. Remote or hybrid location.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
400
-
🗓️ - Date
March 19, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
New York, NY
-
🧠 - Skills detailed
#Data Manipulation #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Python #Microsoft Power BI #Tableau #Forecasting #Datasets #BI (Business Intelligence) #R #SQL Queries #Databases #Visualization #Data Analysis
Role description
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
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






