

Cypress HCM
Senior Data Analyst, Royalty & Licensing
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Analyst focusing on royalty and licensing data, requiring expertise in Power BI, Python, and Databricks. Contract length is unspecified, with a pay rate of $50 - $67.86 per hour, targeting data-intensive industries.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
536
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🗓️ - Date
February 10, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Unknown
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
San Francisco, CA
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🧠 - Skills detailed
#Data Analysis #Licensing #Microsoft Power BI #Forecasting #Python #Research Skills #Databricks #Datasets #BI (Business Intelligence)
Role description
We are seeking a Senior Data Analyst with a strong ability to ingest large datasets and generate predictive insights. This role will focus on royalty and licensing data, revenue forecasting, and data-driven deal predictions across data-intensive industries.
Key Responsibilities
• Ingest, analyze, and interpret large and complex datasets.
• Build predictive models to forecast closed deals and revenue streams.
• Analyze royalty and licensing data to generate business insights.
• Work with royalty reports and licensing data structures.
• Develop dashboards and reporting using Power BI.
• Perform advanced data analysis and modeling using Python.
• Work with Databricks to manage and process large-scale data.
• Conduct research to identify trends, risks, and growth opportunities.
Required Skills & Experience
• Strong ability to ingest data and make predictions from it.
• Experience working with royalty reports.
• Power BI and Python background.
• Strong research skills.
• Experience predicting closed deals and revenue streams using licensing and royalty data.
• Databricks experience.
Preferred Industry Background
• Royalty, licensing, and licensing pool companies
• Data-intensive industries
• Commodities
• Energy sector
• Licensing reporting environments
Compensation: $50 - $67.86 per hour
ID#: 36853176
We are seeking a Senior Data Analyst with a strong ability to ingest large datasets and generate predictive insights. This role will focus on royalty and licensing data, revenue forecasting, and data-driven deal predictions across data-intensive industries.
Key Responsibilities
• Ingest, analyze, and interpret large and complex datasets.
• Build predictive models to forecast closed deals and revenue streams.
• Analyze royalty and licensing data to generate business insights.
• Work with royalty reports and licensing data structures.
• Develop dashboards and reporting using Power BI.
• Perform advanced data analysis and modeling using Python.
• Work with Databricks to manage and process large-scale data.
• Conduct research to identify trends, risks, and growth opportunities.
Required Skills & Experience
• Strong ability to ingest data and make predictions from it.
• Experience working with royalty reports.
• Power BI and Python background.
• Strong research skills.
• Experience predicting closed deals and revenue streams using licensing and royalty data.
• Databricks experience.
Preferred Industry Background
• Royalty, licensing, and licensing pool companies
• Data-intensive industries
• Commodities
• Energy sector
• Licensing reporting environments
Compensation: $50 - $67.86 per hour
ID#: 36853176






