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Google Analytics Remote Jobs in Massachusetts (NOW HIRING)

Marketing Coordinator

Boston, MA · Remote

$46K - $63K/yr

Familiarity with marketing analytics tools (e.g., Google Analytics, social analytics). * Excellent written and verbal communication skills. * Comfort with live event support and teleprompter tools ...

Location: 100% Remote, located in the U.S. Device: Applicants use a qualifying Google Pixel device ... Our current offerings include transcription, translation, linguistic analysis, rating, systems ...

US Eastern or Central Time Zones (Remote) and Dublin, Ireland (Remote) What You'll Do * Own the ... LinkedIn, Meta, X), display (Google Ads, Influ2) , review sites (G2, GDN), communities (Reddit ...

Cloud Partner Manager, Americas

Lexington, MA · On-site +1

$104K - $156K/yr

Cloud Partner Manager, Americas - Hybrid local to Lexington, MA or open to remote candidates in the ... Analytical mindset with the ability to interpret and act on data-driven insights * Excellent ...

... a remote position. User Acquisition: * Develop and execute strategies to acquire new users ... Collect and analyze data to gain insights into user behaviour, product usage, and marketing ...

... a remote position. User Acquisition: * Develop and execute strategies to acquire new users ... Collect and analyze data to gain insights into user behaviour, product usage, and marketing ...

... a remote position. User Acquisition: * Develop and execute strategies to acquire new users ... Collect and analyze data to gain insights into user behaviour, product usage, and marketing ...

Showing results 21-40

Google Analytics Remote information

See Massachusetts salary details

$11

$57

$86

How much do google analytics remote jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for google analytics remote in Massachusetts is $57.07, according to ZipRecruiter salary data. Most workers in this role earn between $41.49 and $71.15 per hour, depending on experience, location, and employer.

Is Google Analytics a good career?

A career involving Google Analytics as a remote professional typically involves analyzing website data, creating reports, and optimizing digital marketing strategies. It requires skills in data analysis, familiarity with the Google Analytics platform, and often a certification such as Google Analytics IQ. This field offers opportunities in digital marketing, data analysis, and marketing analytics roles with flexible remote work options.

What does a typical day look like for someone working in a remote Google Analytics role?

A typical day in a remote Google Analytics role involves monitoring website and app performance, creating and reviewing reports, and collaborating with marketing or development teams to recommend optimizations based on data insights. You’ll frequently meet virtually with stakeholders to discuss campaign performance, manage and troubleshoot tracking tags, and identify new opportunities for analysis. Remote roles offer autonomy and flexibility, but also require regular communication through project management systems and video conferencing. The work is dynamic, with a mix of independent analysis and team-based problem solving, allowing you to make a significant impact on digital strategies from anywhere.

What jobs can I get with Google Analytics?

With Google Analytics skills, you can pursue roles such as digital marketing analyst, data analyst, SEO specialist, or web analyst. These positions typically require proficiency in data interpretation, reporting, and tools like Google Analytics, often combined with knowledge of marketing strategies and data visualization. Certifications in Google Analytics can enhance job prospects in these fields.

What are the key skills and qualifications needed to thrive in the Google Analytics Remote position, and why are they important?

To thrive as a Google Analytics Remote professional, you need strong analytical skills, expertise in web analytics, and a solid understanding of digital marketing or e-commerce, often supported by a relevant degree or certification such as Google Analytics Individual Qualification (GAIQ). Familiarity with Google Analytics platforms, Google Tag Manager, data visualization tools like Google Data Studio, and possibly basic coding (HTML, JavaScript) is crucial. Excellent communication, attention to detail, and the ability to self-manage in a remote environment distinguish top performers. These skills help ensure accurate data interpretation, actionable insights, and effective collaboration with cross-functional teams across digital initiatives.

What is a Google Analytics Remote?

A Google Analytics Remote job involves using Google Analytics to track, analyze, and report website traffic and user behavior while working from a remote location. Professionals in this role interpret data, create reports, and provide insights to optimize website performance. Common responsibilities include setting up tracking codes, segmenting audiences, and identifying trends to improve digital strategies. This job is ideal for data analysts, marketers, and SEO specialists who specialize in web analytics.

What are the most commonly searched types of Google Analytics jobs in Massachusetts? The most popular types of Google Analytics jobs in Massachusetts are:
What are popular job titles related to Google Analytics Remote jobs in Massachusetts? For Google Analytics Remote jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Google Analytics Remote jobs in Massachusetts look for? The top searched job categories for Google Analytics Remote jobs in Massachusetts are:
What cities in Massachusetts are hiring for Google Analytics Remote jobs? Cities in Massachusetts with the most Google Analytics Remote job openings:
Infographic showing various Google Analytics Remote job openings in Massachusetts as of August 2026, with employment types broken down into 78% Full Time, 13% Part Time, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $118,706 per year, or $57.1 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Cambridge, MA • Remote

Full-time

Re-posted 19 days ago


Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.