The specialist will analyze datasets, integrate eCommerce and marketing platforms, optimize conversion tracking, and develop data infrastructures.
We're seeking a part-time specialist or freelancer to help bridge the gap between our eCommerce platforms, marketing stack, and analytics infrastructure. The ideal candidate will support ongoing projects and upcoming opportunities by improving conversion tracking, implementing integrations, and surfacing meaningful insights from data. If you're excited by data systems, creative problem-solving, and marketing attribution—this role is for you.
Data Analysis & Management- Analyze complex datasets across multiple platforms to identify patterns, trends, and opportunities for optimization
- Reconcile customer and order data across platform migrations (e.g., WooCommerce to Shopify)
- Create and maintain data pipelines to ensure accurate and consistent reporting
- Design custom dashboards and reports that provide actionable insights for various business units
- Implement rigorous data validation processes to ensure quality and accuracy
- Seamlessly connect marketing and analytics platforms (e.g., Triple Whale, Google Analytics, Facebook Ads Manager)
- Configure and troubleshoot API connections between e-commerce platforms and analytics tools
- Migrate historical data between platforms while maintaining data integrity
- Ensure proper attribution of customer actions across the entire customer journey
- Implement and maintain automation between integrated systems
- Set up and optimize Google Tag Manager implementations for comprehensive event tracking
- Configure server-side and client-side tracking solutions to handle privacy restrictions
- Implement multi-touch attribution models across advertising platforms
- Validate conversion data across platforms to ensure accuracy
- Create custom tracking solutions for non-standard customer interactions
- Design and implement data warehouse solutions (BigQuery, Snowflake, etc.)
- Create ETL processes to consolidate data from multiple sources
- Set up and maintain data lakes for storing unstructured data
- Implement data governance policies and security measures
- Create documentation for data models and analytics implementations
- Develop and deploy AI agents for automated data analysis and business insights
- Create machine learning models for customer segmentation and predictive analytics
- Implement natural language processing for customer feedback analysis
- Design AI-powered recommendation systems for personalized marketing
- Stay current with emerging AI technologies and identify opportunities for application
RequirementsRequired Skills
- 3+ years experience with e-commerce platforms (Shopify, WooCommerce)
- Advanced knowledge of Google Tag Manager and data layer implementations
- Proven experience with marketing analytics platforms (Triple Whale, Glew, etc.)
- Strong SQL skills and experience with data warehouse technologies
- Programming skills in Python, R, or similar for data analysis
- Experience migrating data between different platforms while maintaining integrity
- Excellent problem-solving abilities and attention to detail
- Experience with AI tools and frameworks (TensorFlow, PyTorch, etc.)
- Knowledge of AI agent development and deployment
- Background in implementing server-side tracking solutions
- Experience with customer data platforms (CDPs)
- Familiarity with privacy regulations and their impact on data collection
- Experience with Shopify, Triple Whale, and Facebook Ads Manager specifically
- Translate technical topics into actionable insights for non-technical stakeholders
- Take initiative and think creatively when solving integration challenges
- Work independently with clear communication and documentation
- Stay current on industry tools, data privacy, and attribution best practices
- Deliver clean, scalable solutions—even on tight timelines
Top Skills
BigQuery
Facebook Ads Manager
Glew
Google Tag Manager
Python
PyTorch
R
Shopify
Snowflake
SQL
TensorFlow
Triple Whale
Woocommerce
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