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Remote Real Time Analyst Jobs in Minnesota (NOW HIRING)

Production Planning Analyst II

Chaska, MN ยท On-site +1

$74K - $90K/yr

Are you ready to accelerate your potential and make a real difference within life sciences ... We recognize the benefits of flexible, remote working arrangements for eligible roles and are ...

This is a Hybrid or Remote position. DISCOVER As a Supply Chain Analyst for Sauna360, you will play ... You'll spend much of your time working deeply with data. You will transform large, complex datasets ...

... drive real impact. Step into a role where you can contribute to our shared success through ... Fulfills business needs, which may include investing extra time, helping other teams, etc Please ...

PMO Analyst

Fridley, MN ยท Remote

$144K - $144K/yr

For more than 75 years we've been helping to deliver transformational programmes across the real ... This is a remote role within the Eastern or Central Time Zones. What You'll Do Create & maintain PM ...

Payroll Analyst - Exempt

MN ยท On-site +1

Medical Device Manufacturing Company Duration: 3 Months (possible extension) Location: 100% Remote ... Time & Attendance management including Leave of Absence (LOA) handling * Advanced Excel skills for ...

Business Analytics Tutor

Minneapolis, MN ยท Remote

$18 - $40/hr

... Business Analytics tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

Showing results 41-60

Remote Real Time Analyst information

What does a remote real time analyst do?

A Remote Real Time Analyst is responsible for monitoring and analyzing workforce data in real time to ensure optimal staffing levels and efficient operations, often in call centers or customer service environments. They track key metrics such as call volume, agent availability, and adherence to schedules, making adjustments to resource allocation as needed. Working remotely, they utilize specialized software and communication tools to provide timely updates and recommendations to management to maintain service level agreements.

What are the key skills and qualifications needed to thrive as a remote real time analyst?

To thrive as a Remote Real Time Analyst, you need strong analytical abilities, attention to detail, and a background in workforce management or operations, often supported by a relevant degree. Familiarity with workforce management software (like NICE IEX, Genesys, or Verint), advanced Excel skills, and experience with real-time monitoring tools are typically required. Excellent communication, problem-solving, and time management skills help you effectively coordinate with teams and respond quickly to changing conditions. These skills are crucial for maintaining operational efficiency, optimizing resource allocation, and ensuring service level targets are met in a dynamic remote environment.

How does a remote real time analyst typically collaborate with other teams to ensure optimal workforce management?

As a Remote Real Time Analyst, you'll work closely with operations, workforce planning, and team leaders to monitor live call volumes, agent adherence, and service levels throughout the day. Collaboration often involves providing real-time alerts or recommendations to help maximize productivity and minimize service gaps. You'll use communication tools like instant messaging, dashboards, and reports to keep all stakeholders informed, ensuring quick, data-driven decisions in a fast-paced environment.

What is the difference between Remote Real Time Analyst vs Remote Workforce Analyst?

AspectRemote Real Time AnalystRemote Workforce Analyst
CredentialsTypically requires a degree in business, analytics, or related field; certifications like Workforce Management (WFM) are commonSimilar credentials; often holds degrees in business, analytics, or operations management; workforce management certifications are also valued
Work EnvironmentPrimarily monitors real-time call center or operational data; works in contact centers or customer service environmentsAnalyzes workforce data to optimize staffing and productivity; works across various industries including retail, healthcare, and finance
Employer & Industry UsageUsed mainly in call centers, customer service, and telecommunication industriesUsed across multiple sectors to improve workforce efficiency and planning

Remote Real Time Analysts focus on monitoring and managing real-time operational data to ensure service levels, while Remote Workforce Analysts analyze workforce data to optimize staffing and productivity. Both roles require similar skills and certifications but serve different strategic functions within organizations.

What cities in Minnesota are hiring for Remote Real Time Analyst jobs?

Cities in Minnesota with the most Remote Real Time Analyst job openings:

Infographic showing various Remote Real Time Analyst job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 18% Part Time, and 7% Contract. Highlights an 76% Physical, 2% Hybrid, and 22% Remote job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Rochester, MN โ€ข Remote

Full-time

Re-posted 18 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

โ€‹

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:

  • Bachelorโ€™s or Masterโ€™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.