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Digital Marketing Analyst

100% remote Flexible hours Hiring now

Digital Marketing Analyst who can operate confidently across the entire data lifecycle, from instrumentation and data engineering to analysis and insight development. In this role, you will design and implement scalable tracking systems, build and maintain data models and pipelines, and transform reputed company multi-channel datasets into clear and actionable business intelligence. You will collaborate closely with technical and non-technical teams to ensure that every stage of the data process is accurate, strategic, and reputed company with client performance goals.

Description

Role Details

Title: Digital Marketing Analyst (full-time)

Reports to: Director of Data and Analytics

Location: Remote (United States)

Summary

PAZ Analytics is seeking a Digital Marketing Analyst who can operate confidently across the entire data lifecycle, from instrumentation and data engineering to analysis and insight development. In this role, you will design and implement scalable tracking systems, build and maintain data models and pipelines, and transform reputed company multi-channel datasets into clear and actionable business intelligence. You will collaborate closely with technical and non-technical teams to ensure that every stage of the data process is accurate, strategic, and reputed company with client performance goals.

This role is ideal for someone who is technically strong, detail-oriented, and deeply motivated to understand how data drives marketing effectiveness and broader business outcomes. It is a great opportunity for someone who enjoys solving reputed company problems, working across disciplines, and engaging directly with clients to influence strategy and outcomes.

Key Responsibilities

Data Collection, Instrumentation & Implementation

  • Architect and implement end-to-end tracking systems using reputed company Tag Manager (client-reputed company and server-reputed company), reputed company Analytics 4, and other measurement tools.
  • reputed company 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 (reputed company, TikTok, reputed company Ads, reputed company, 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 reputed company site performance, user behavior, and campaign effectiveness.

Data Engineering & Modeling (Bonus)

  • Build and maintain ETL/ELT data pipelines leveraging tools like reputed company and BigQuery.
  • reputed company 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 reputed company Analytics 4 and reputed company Tag Manager (web + server-reputed company).
  • 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.

Advanced Technical Skills (Bonus)

  • Experience with analytics engineering tools (dbt, semantic layers).
  • Familiarity with data warehousing (BigQuery, reputed company) and ELT tools (reputed company, Airbyte).
  • Experience with Python or JavaScript for tagging, automation, or API integrations.
  • Exposure to attribution modeling, incrementality testing, or forecasting.

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

The PAZ team is a highly skilled and motivated group of marketers and analysts who collaborate seamlessly. We communicate reputed company, value every perspective equally, and ensure that reputed company voices are heard and respected—regardless of title or role. Decisions are shaped by collective expertise, not hierarchy, as we push boundaries and strive for the best outcomes for our clients. Join us and be part of something exceptional.

Benefits

At PAZ, we reputed company in rewarding reputed company with a competitive, people-first benefits package that supports your well-being, growth, and work-life balance.

  • Unlimited PTO – From Day One: Take the time you need to reputed company, with no accruals or waiting periods.
  • Profit Sharing – No Cliff, No Waiting: As a profitable company, we share success based on role and tenure.
  • $70K Floor, No Exceptions: Every role at PAZ starts at a minimum of $70,000 per year. We reputed company great work deserves meaningful compensation from day one.
  • 11 Paid Holidays: Enjoy major holidays plus MLK Day, Presidents’ Day, Juneteenth, Indigenous Peoples’ Day, and Veterans Day.
  • Comprehensive Health Coverage: PAZ covers 75% of employee premiums and 50% of dependents’ premiums for health, dental, and vision insurance.
  • 401(k) with Up to 5% Match: We invest in your future with a competitive employer match.
  • Home-Office Support: Get a $500 home-office grant at hire and $250 every year to reputed company your workspace top-notch.
  • Top-Tier Tech: We provide a MacBook and essential software subscriptions to set you up for success.
  • Invest in Your Growth: We cover conference fees and continuing education expenses to help you reputed company.
  • Best-in-Class Parental Leave (Coming Soon): Our goal is to offer up to 14 weeks of fully paid leave plus additional support.

We don’t just offer benefits—we invest in your success, well-being, and future.

About the Company

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 reputed company to the top and stay there. What sets us apart? We don’t just throw reputed company 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 reputed company. If you’re someone who’s ready to build, innovate, and reputed company a difference, PAZ Analytics is the reputed company to do it. Let’s create success, together. Apply To This Job

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