At PAZ Analytics, we help our clients win by making smarter, data-driven decisions in digital marketing. We work with amazing brands—whether it’s consumer products, electronics, outdoor experiences, or B2B services—helping them rise to the top and stay there.

What sets us apart? We don’t just throw ideas at the wall to see what sticks. We dig into the data, uncover what really works, and turn those insights into actions that move the needle. It’s not just about numbers; it’s about real-world results that help businesses grow and thrive.

If you’re someone who’s ready to build, innovate, and make a difference, PAZ Analytics is the place to do it. Let’s create success, together.

Role Details

Title: Digital Marketing Analyst (contractor)

Reports to: Director of Data and Analytics

Location: Remote (United States)

Starting Commitment: 15–20 hours/week

Compensation: $40–$60/hr based on experience

Summary

PAZ Analytics is looking for a Digital Marketing Analyst with strong experience in analytics implementation and measurement. This role will focus on building and maintaining tracking across Google Tag Manager, Google Analytics 4, and other marketing platforms, making sure clients have accurate data they can use to understand performance.

You’ll work through the full implementation process, including developing tracking plans, defining data layers and event schemas, configuring tags and conversions, and QAing implementations before and after launch. You’ll also troubleshoot tracking issues, identify gaps in measurement, and work with developers, marketers, analysts and clients to get things working correctly.

This is a good fit for someone who enjoys digging into how tracking works, figuring out why something isn’t working and building practical solutions. There will also be opportunities to work with the data after implementation, including analyzing performance, supporting reporting and helping clients understand what the data is telling them.

Key Responsibilities

Data Collection, Instrumentation & Implementation

• Architect and implement end-to-end tracking systems using Google Tag Manager (client-side and server-side), Google Analytics 4 and other measurement tools.
• Develop detailed tracking specifications, data layers, and schema designs that ensure clean and consistent data collection.
• Implement and QA custom event tracking, enhanced conversions and cross-domain measurement.
• Manage and validate deployment of marketing pixels (Meta, TikTok, Google Ads, LinkedIn, etc.) to support attribution and campaign optimization.

Analysis, Insights & Reporting

• Analyze website behavior (funnels, user journeys, engagement, conversion paths) to identify optimization opportunities.
• Evaluate marketing channel performance across paid, organic and owned channels using web analytics and platform data.
• Conduct funnel analysis, cohort analysis and attribution assessments to understand drivers of performance.
• Partner with marketing and client teams to translate data into clear recommendations for CRO, media optimization and user experience improvements.
• Build dashboards and reporting that highlight site performance, user behavior and campaign effectiveness.

Data Engineering & Modeling (Bonus)

• Build and maintain ETL/ELT data pipelines leveraging tools like Fivetran and BigQuery.
• Perform data cleaning, transformation, and modeling in SQL/dbt to produce reliable datasets for reporting and analysis.
• Design and maintain marketing and analytics data models, including channel performance tables, user behavior models, attribution logic and forecasting inputs.
• Conduct routine data quality checks and implement validation processes to ensure accuracy, completeness and consistency across sources.

Skills

Core Technical Skills

• Deep expertise in Google Analytics 4 and Google Tag Manager (web + server-side).
• Strong experience (3-5 years) with web analytics implementation, debugging and QA workflows.
• Proficiency in data layer design, event schema development and tracking architecture.
• Experience analyzing website behavior, funnels and marketing performance data.
• Strong SQL skills for querying and validating datasets (bonus).

Soft Skills

• Strong problem-solving and critical thinking abilities, particularly in diagnosing and resolving analytics challenges.
• Skilled in project management, with the ability to handle multiple priorities, meet deadlines and deliver high-quality work.
• Proactive, adaptable, and comfortable working in a fast-paced, dynamic environment.
• Excellent communication and interpersonal skills, with the ability to present insights, explain technical concepts and confidently engage with client stakeholders.

Working at PAZ

PAZ is a small, collaborative team of marketers and analysts who work closely together. We value people who are willing to ask questions, share ideas and take ownership of their work. You’ll have the opportunity to work directly with both the PAZ team and our clients.

This role is a good fit for someone who is comfortable working independently but also likes being part of a team. You should be comfortable jumping into problems, figuring things out and communicating clearly when you need help or when something needs to be addressed.