JBS Technologies Inc
Data Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst in Miami, requiring 3+ years of experience in SaaS or technology, strong SQL skills, proficiency in BI tools, and knowledge of Revenue Operations. Contract length and pay rate are unspecified.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
May 20, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
Miami, FL
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🧠 - Skills detailed
#SQL (Structured Query Language) #Data Analysis #Visualization #Data Pipeline #Complex Queries #BigQuery #SaaS (Software as a Service) #Tableau #Microsoft Power BI #BI (Business Intelligence) #CRM (Customer Relationship Management) #Looker #Cloud
Role description
LOCAL TO MIAMI ONLY
NO C2C.. W2 Resources Only
4-5 Open Positions
• 3+ years of experience in a data analyst or business intelligence role, preferably in a SaaS or technology company.
• Strong SQL skills — comfortable writing complex queries, window functions, and CTEs in BigQuery or a comparable cloud warehouse.
• Experience with at least one BI/visualization tool such as Looker, Tableau, Power BI, or similar.
• Solid understanding of Revenue Operations or go-to-market data: pipeline, ARR, CAC, LTV, churn.
• Familiarity with CRM data (Salesforce or HubSpot) and the ability to work with CRM exports or integrated data.
LOCAL TO MIAMI ONLY
NO C2C.. W2 Resources Only
4-5 Open Positions
• 3+ years of experience in a data analyst or business intelligence role, preferably in a SaaS or technology company.
• Strong SQL skills — comfortable writing complex queries, window functions, and CTEs in BigQuery or a comparable cloud warehouse.
• Experience with at least one BI/visualization tool such as Looker, Tableau, Power BI, or similar.
• Solid understanding of Revenue Operations or go-to-market data: pipeline, ARR, CAC, LTV, churn.
• Familiarity with CRM data (Salesforce or HubSpot) and the ability to work with CRM exports or integrated data.
