

Aneka Talent Solutions
Marketing Analytics Analyst
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Marketing Analytics Analyst based in Orlando, FL (Hybrid) for 4+ years with a pay rate of "unknown." Key skills include strong SQL, digital analytics, A/B testing, and experience in travel or leisure industries.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
240
-
🗓️ - Date
June 12, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Orlando, FL
-
🧠 - Skills detailed
#Computer Science #R #AI (Artificial Intelligence) #Data Access #Statistics #Python #Mathematics #Databricks #SQL (Structured Query Language) #A/B Testing #Customer Segmentation #Strategy #BI (Business Intelligence) #Visualization #Microsoft Power BI #Automation #HTML (Hypertext Markup Language) #Looker #Cloud #GA4 (Google Analytics 4) #Google Analytics #BigQuery #Datasets #Forecasting
Role description
Marketing Analytics Analyst
Location: Orlando, FL (Hybrid)
Client: Travel & Leisure
Experience: 4+ Years
Visa: USC, GC, GC-EAD, TN, H4-EAD, EAD (No H1B)
Job Overview
We are seeking a highly analytical and data-driven Marketing Analytics Analyst to support marketing effectiveness, customer insights, and growth initiatives across digital and offline marketing channels. This role will partner with Marketing, Analytics, and cross-functional teams to evaluate campaign performance, optimize customer acquisition strategies, and deliver actionable business insights.
The ideal candidate will have experience in marketing analytics, customer behavior analysis, attribution modeling, A/B testing, reporting, and data visualization. Strong SQL skills and experience with digital analytics platforms are required.
Key Responsibilities
Marketing Performance & Growth Analytics
• Analyze marketing campaign performance across paid and owned channels.
• Identify trends, optimization opportunities, and actionable recommendations.
• Evaluate acquisition efficiency, conversion performance, and customer engagement.
• Monitor marketing spend effectiveness and ROI.
Customer & Audience Analytics
• Perform customer segmentation and audience analysis.
• Analyze customer journeys, funnel performance, retention, and lifecycle metrics.
• Identify high-value customer segments and growth opportunities.
Attribution & Measurement
• Support multi-touch attribution analysis and marketing measurement initiatives.
• Evaluate channel contribution and campaign effectiveness.
• Assist with incrementality testing, lift analysis, and measurement strategy improvements.
Testing & Experimentation
• Design, execute, and analyze A/B tests and marketing experiments.
• Validate statistical significance and provide data-backed recommendations.
• Support optimization initiatives through structured experimentation.
Reporting & Visualization
• Build dashboards and reporting solutions for business stakeholders.
• Present insights and recommendations to both technical and non-technical audiences.
• Improve reporting automation and data accessibility.
Data & Analytics
• Query and analyze large datasets using SQL and cloud-based platforms.
• Validate marketing tracking, campaign data, and reporting accuracy.
• Conduct ad hoc analyses to support strategic business decisions.
Required Qualifications
• Bachelor's degree in Marketing, Analytics, Statistics, Economics, Mathematics, Computer Science, or related field.
• 4+ years of experience in Marketing Analytics, Digital Analytics, Growth Analytics, or related disciplines.
• Strong understanding of digital marketing channels and campaign performance measurement.
• Experience with customer segmentation, audience analytics, and funnel analysis.
• Hands-on experience with attribution methodologies and marketing measurement.
• Experience designing and analyzing A/B tests and marketing experiments.
• Advanced SQL skills with experience working on large datasets.
• Strong analytical, problem-solving, and communication skills.
Required Tools & Technologies
• SQL
• Google Analytics (GA4 preferred)
• Looker Studio
• Power BI
• BigQuery
Preferred Qualifications
• Experience with Python, R, or Databricks.
• Knowledge of forecasting and predictive analytics.
• Experience with customer lifecycle, retention, loyalty, or subscription-based businesses.
• Familiarity with incrementality testing and advanced attribution models.
• Understanding of digital analytics implementation and tracking concepts.
• Exposure to APIs, marketing technology platforms, or basic HTML.
• Experience leveraging AI tools and automation workflows for analytics.
• Experience with marketing optimization and experimentation frameworks.
Preferred Background
Candidates with experience in Travel, Hospitality, Leisure, Loyalty Programs, Subscription Businesses, E-commerce, Consumer Marketing, or Digital Marketing Analytics environments are highly preferred.
Marketing Analytics Analyst
Location: Orlando, FL (Hybrid)
Client: Travel & Leisure
Experience: 4+ Years
Visa: USC, GC, GC-EAD, TN, H4-EAD, EAD (No H1B)
Job Overview
We are seeking a highly analytical and data-driven Marketing Analytics Analyst to support marketing effectiveness, customer insights, and growth initiatives across digital and offline marketing channels. This role will partner with Marketing, Analytics, and cross-functional teams to evaluate campaign performance, optimize customer acquisition strategies, and deliver actionable business insights.
The ideal candidate will have experience in marketing analytics, customer behavior analysis, attribution modeling, A/B testing, reporting, and data visualization. Strong SQL skills and experience with digital analytics platforms are required.
Key Responsibilities
Marketing Performance & Growth Analytics
• Analyze marketing campaign performance across paid and owned channels.
• Identify trends, optimization opportunities, and actionable recommendations.
• Evaluate acquisition efficiency, conversion performance, and customer engagement.
• Monitor marketing spend effectiveness and ROI.
Customer & Audience Analytics
• Perform customer segmentation and audience analysis.
• Analyze customer journeys, funnel performance, retention, and lifecycle metrics.
• Identify high-value customer segments and growth opportunities.
Attribution & Measurement
• Support multi-touch attribution analysis and marketing measurement initiatives.
• Evaluate channel contribution and campaign effectiveness.
• Assist with incrementality testing, lift analysis, and measurement strategy improvements.
Testing & Experimentation
• Design, execute, and analyze A/B tests and marketing experiments.
• Validate statistical significance and provide data-backed recommendations.
• Support optimization initiatives through structured experimentation.
Reporting & Visualization
• Build dashboards and reporting solutions for business stakeholders.
• Present insights and recommendations to both technical and non-technical audiences.
• Improve reporting automation and data accessibility.
Data & Analytics
• Query and analyze large datasets using SQL and cloud-based platforms.
• Validate marketing tracking, campaign data, and reporting accuracy.
• Conduct ad hoc analyses to support strategic business decisions.
Required Qualifications
• Bachelor's degree in Marketing, Analytics, Statistics, Economics, Mathematics, Computer Science, or related field.
• 4+ years of experience in Marketing Analytics, Digital Analytics, Growth Analytics, or related disciplines.
• Strong understanding of digital marketing channels and campaign performance measurement.
• Experience with customer segmentation, audience analytics, and funnel analysis.
• Hands-on experience with attribution methodologies and marketing measurement.
• Experience designing and analyzing A/B tests and marketing experiments.
• Advanced SQL skills with experience working on large datasets.
• Strong analytical, problem-solving, and communication skills.
Required Tools & Technologies
• SQL
• Google Analytics (GA4 preferred)
• Looker Studio
• Power BI
• BigQuery
Preferred Qualifications
• Experience with Python, R, or Databricks.
• Knowledge of forecasting and predictive analytics.
• Experience with customer lifecycle, retention, loyalty, or subscription-based businesses.
• Familiarity with incrementality testing and advanced attribution models.
• Understanding of digital analytics implementation and tracking concepts.
• Exposure to APIs, marketing technology platforms, or basic HTML.
• Experience leveraging AI tools and automation workflows for analytics.
• Experience with marketing optimization and experimentation frameworks.
Preferred Background
Candidates with experience in Travel, Hospitality, Leisure, Loyalty Programs, Subscription Businesses, E-commerce, Consumer Marketing, or Digital Marketing Analytics environments are highly preferred.






