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Remote Google Data Analyst Jobs in Milwaukee, WI

Bader Rutter

Marketing Effectiveness Analyst

Milwaukee, WI · On-site +1

$65K - $95K/yr

MARKETING EFFECTIVENESS ANALYST You're curious about what the data is telling you and know how to ... Experience with digital analytics platforms such as Google Analytics or Adobe Analytics * An ...

TSMG

AI/ML Data Contributor

Milwaukee, WI · Remote

Participate in remote assignments or attend on-site sessions when required * Follow project ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

AI/ML Data Contributor

Milwaukee, WI · Remote

Participate in remote assignments or attend on-site sessions when required * Follow project ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Tier4 Group

Technical Analyst

Milwaukee, WI · Remote

Technical Analyst (ServiceNow & Data Integrity) Location: Remote - United States Schedule: Monday-Friday, 8:00 AM-5:00 PM CT Duration: ASAP - 08/16/2027 Perks: Competitive Rates, Benefits We are ...

TransPerfect

SEO Specialist

Milwaukee, WI · Remote

... the digital data analyst to set up performance monitoring dashboards and deliver monthly ... Google Search Console and Web Analytics platforms (Google Analytics and/or Omniture) DESIRED SKILLS ...

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Showing results 21-40

All JobsGoogle Data Analyst JobsRemote Google Data Analyst JobsRemote Google Data Analyst Jobs in Milwaukee, WI

Remote Google Data Analyst information

See Milwaukee, WI salary details

$33.5K

$81.4K

$134K

How much do remote google data analyst jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote google data analyst in Milwaukee, WI is $81,421.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,600.00 and $95,600.00 per year, depending on experience, location, and employer.

What does a remote Google Data Analyst do?

A Remote Google Data Analyst is responsible for collecting, processing, and analyzing data to help businesses make informed decisions, all while working from a remote location. They primarily use Google tools like Google Analytics, BigQuery, and Google Data Studio to interpret data and generate actionable insights. Their tasks may include creating reports, visualizing trends, and supporting teams with data-driven recommendations. Effective communication and strong analytical skills are essential for this role. Working remotely, they often collaborate virtually with team members across different locations.

What skills and qualifications are needed to thrive as a remote Google Data Analyst?

To thrive as a Remote Google Data Analyst, you need strong analytical skills, proficiency in data visualization, and a background in statistics or a related field, often supported by a relevant degree or Google Data Analytics Certificate. Familiarity with tools such as Google Analytics, BigQuery, SQL, Tableau, and Excel is crucial for managing and interpreting large datasets. Excellent communication, problem-solving, and self-motivation enable effective collaboration and independent work in a remote setting. These skills ensure accurate data-driven insights, clear reporting, and successful teamwork across distributed teams.

How does a remote Google Data Analyst typically collaborate with team members across different time zones?

As a Remote Google Data Analyst, collaboration often occurs through virtual meetings, shared dashboards, and cloud-based project management tools. You’ll regularly coordinate with cross-functional teams such as marketing, engineering, and product managers by providing data-driven insights and visualizations. Effective communication and flexibility in scheduling are essential, as meetings may be held at varied times to accommodate global teams. Staying proactive in sharing updates and documenting your analyses helps ensure everyone stays aligned despite the distance.

Can I work for Google as a data analyst?

A remote Google Data Analyst role involves analyzing large datasets to support business decisions, often requiring skills in SQL, Excel, and data visualization tools like Tableau or Looker. These positions typically require a relevant degree, experience with data analysis, and the ability to work independently in a remote environment.

What are the most commonly searched types of Google Data Analyst jobs in Milwaukee, WI?

The most popular types of Google Data Analyst jobs in Milwaukee, WI are:

What are popular job titles related to Remote Google Data Analyst jobs in Milwaukee, WI?

For Remote Google Data Analyst jobs in Milwaukee, WI, the most frequently searched job titles are:

What job categories do people searching Remote Google Data Analyst jobs in Milwaukee, WI look for?

The top searched job categories for Remote Google Data Analyst jobs in Milwaukee, WI are:

What cities near Milwaukee, WI are hiring for Remote Google Data Analyst jobs?

Cities near Milwaukee, WI with the most Remote Google Data Analyst job openings:

Remote Google Data Analyst jobs near you
Infographic showing various Remote Google Data Analyst job openings in Milwaukee, WI as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $81,421 per year, or $39.1 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Milwaukee, WI • Remote

Full-time

Re-posted 17 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.

Apply