

Crossing Hurdles
Product Operations Lead – Data Analytics & Automation | $80/hr Remote
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a "Product Operations Lead – Data Analytics & Automation," offering $60–$80/hr for a full-time remote position. Key skills include advanced SQL, AI tools, and Google Workspace proficiency. Requires strong experience in consulting, operations, and data analysis.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
640
-
🗓️ - Date
April 9, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Remote
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📄 - Contract
W2 Contractor
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🔒 - Security
Unknown
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📍 - Location detailed
United States
-
🧠 - Skills detailed
#Consulting #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Automation #Data Analysis #Data Transformations #SQL Queries #Visualization #Strategy #AI (Artificial Intelligence)
Role description
Position: Senior Technical Product Operations Specialist
Type: Full-time (W2, Contingent Role)
Compensation: $60–$80 per hour
Location: Remote
Commitment: Full-time
Role Responsibilities
• Support execution strategy across multiple products, including 0→1 initiatives and scaling existing programs
• Write and optimize advanced SQL queries (CTEs, joins, window functions, aggregations) to analyze product data
• Build and maintain dashboards, reports, and visualizations for real-time decision-making
• Leverage AI tools and agents to automate workflows and accelerate data analysis
• Identify program risks and develop data-backed mitigation strategies
• Drive cross-functional alignment with product, engineering, legal, and operations teams
• Manage multiple workstreams while ensuring high-quality execution and delivery
• Translate data insights into actionable recommendations for product and business improvements
Requirements
• Strong years of experience in consulting, strategy, operations, or technical product/program roles
• Strong SQL proficiency with experience handling complex data transformations
• Experience using AI tools/agents to enhance workflows and productivity
• Advanced proficiency in Google Workspace (especially Sheets: formulas, pivots, automation)
• Strong analytical thinking with ability to derive insights from data
• Proven ability to manage multiple projects and work independently
• Excellent communication and stakeholder management skills
• Strong organizational and time-management abilities
Application Process (Takes 20 Mins)
• Upload your resume.
• Complete an interview.
• Submit a short form.
Position: Senior Technical Product Operations Specialist
Type: Full-time (W2, Contingent Role)
Compensation: $60–$80 per hour
Location: Remote
Commitment: Full-time
Role Responsibilities
• Support execution strategy across multiple products, including 0→1 initiatives and scaling existing programs
• Write and optimize advanced SQL queries (CTEs, joins, window functions, aggregations) to analyze product data
• Build and maintain dashboards, reports, and visualizations for real-time decision-making
• Leverage AI tools and agents to automate workflows and accelerate data analysis
• Identify program risks and develop data-backed mitigation strategies
• Drive cross-functional alignment with product, engineering, legal, and operations teams
• Manage multiple workstreams while ensuring high-quality execution and delivery
• Translate data insights into actionable recommendations for product and business improvements
Requirements
• Strong years of experience in consulting, strategy, operations, or technical product/program roles
• Strong SQL proficiency with experience handling complex data transformations
• Experience using AI tools/agents to enhance workflows and productivity
• Advanced proficiency in Google Workspace (especially Sheets: formulas, pivots, automation)
• Strong analytical thinking with ability to derive insights from data
• Proven ability to manage multiple projects and work independently
• Excellent communication and stakeholder management skills
• Strong organizational and time-management abilities
Application Process (Takes 20 Mins)
• Upload your resume.
• Complete an interview.
• Submit a short form.






