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Data Analyst Automation Jobs in Logan, UT (NOW HIRING)

EnthuZiastic

Growth Hacker - Remote

Logan, UT · Remote

Strong analytical and data interpretation skills, including proficiency in data analysis tools and platforms. Technical Proficiency: * Familiarity with marketing automation tools, A/B testing ...

EnthuZiastic

Growth Hacker - Remote

Logan, UT · On-site

Strong analytical and data interpretation skills, including proficiency in data analysis tools and platforms. Technical Proficiency: * Familiarity with marketing automation tools, A/B testing ...

Aperia Technologies

Solutions Engineer, Remote

Logan, UT · On-site

$120K - $140K/yr

... the automation age. We are unable to sponsor H-1B, F-1 OPT, and STEM OPT extension at this time ... Analyze pilot data and algorithm behavior to validate customer use cases and ensure technical ...

Aperia Technologies

Solutions Engineer, Remote

Logan, UT · On-site

$57.69 - $67.31/hr

... the automation age. We are unable to sponsor H-1B, F-1 OPT, and STEM OPT extension at this time ... Analyze pilot data and algorithm behavior to validate customer use cases and ensure technical ...

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Showing results 1-20

All JobsData Analyst Automation JobsData Analyst Automation Jobs in Logan, UT

Data Analyst Automation information

See Logan, UT salary details

$29.3K

$71.3K

$117.3K

How much do data analyst automation jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data analyst automation in Logan, UT is $71,285.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,900.00 and $83,700.00 per year, depending on experience, location, and employer.

What is the difference between Data Analyst Automation vs Data Analyst?

AspectData Analyst AutomationData Analyst
Required SkillsData automation tools, scripting, programming (Python, SQL)Data interpretation, visualization, statistical analysis
Work EnvironmentAutomating data processes, developing scripts, optimizing workflowsAnalyzing datasets, creating reports, providing insights
CertificationsData analysis, automation tools, programming certificationsData analysis, business intelligence certifications
Industry UsageTech, finance, healthcare with automation focusVarious industries focusing on data insights

While both roles involve working with data, Data Analyst Automation specializes in automating data processes and developing scripts to improve efficiency. Data Analysts focus more on interpreting data, creating visualizations, and providing insights. The automation role requires programming skills, whereas the traditional Data Analyst emphasizes statistical analysis and reporting.

What are popular job titles related to Data Analyst Automation jobs in Logan, UT? For Data Analyst Automation jobs in Logan, UT, the most frequently searched job titles are:
What job categories do people searching Data Analyst Automation jobs in Logan, UT look for? The top searched job categories for Data Analyst Automation jobs in Logan, UT are:
What cities near Logan, UT are hiring for Data Analyst Automation jobs? Cities near Logan, UT with the most Data Analyst Automation job openings:
Data Analyst Automation jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Logan, UT • On-site

Other

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.

Apply