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Remote Analytics Engineer Jobs in Saint Paul, MN

Customer AI Operations Engineer

Minneapolis, MN · On-site +1

$72K - $98K/yr

Hybrid Preferred (Minneapolis, MN or Denver, CO) | Remote Considered Employment Type: Full-time Are ... Manage and optimize Knowledge Hub performance through content gap analysis, search quality ...

New

Customer AI Operations Engineer

Minneapolis, MN · On-site +1

$72K - $98K/yr

Location: Hybrid Preferred (Minneapolis, MN or Denver, CO) | Remote Considered Employment Type ... Manage and optimize Knowledge Hub performance through content gap analysis, search quality ...

New

Remote IP Network Engineer I TEKsystems is seeking an IP Network Engineer I for our Anchorage ... Strong analytical and troubleshooting skills * Ability to work remotely and collaboratively in a ...

Remote -must live near one of the locations listed below Locations: Bloomington, MN Geotechnical ... Perform engineering analyses using company and industry standards and methodology * Review ...

Power Studies Engineer

Eden Prairie, MN · On-site +1

$90K - $120K/yr

... Remote Schedule: Full-Time Salary: $90,000 - $120,000 (based on experience) EVS is seeking a Power Studies Engineer to support advanced electrical system modeling, analysis, and project coordination ...

Sr. Wind Engineer

Minneapolis, MN · On-site +1

$109K - $149K/yr

Remote -must live near one of the locations listed below * Bloomington, MN * Geotechnical/Civil ... Perform engineering analyses using company and industry standards and methodology * Review ...

Process Engineer

Minneapolis, MN · On-site +1

$125K - $140K/yr

This is a remote role however we do have a strong preference for someone in MN, WI, PA. * Develops ... Analytical - Synthesizes complex or diverse information; Collects and researches data; Uses ...

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Showing results 1-20

Remote Analytics Engineer information

See Saint Paul, MN salary details

$46K

$94.2K

$137K

How much do remote analytics engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for remote analytics engineer in Saint Paul, MN is $94,240.00, according to ZipRecruiter salary data. Most workers in this role earn between $70,800.00 and $119,300.00 per year, depending on experience, location, and employer.

What is a remote analytics engineer?

A Remote Analytics Engineer is responsible for designing, building, and maintaining the data infrastructure that enables data-driven decision-making. They work with data pipelines, ETL processes, and data warehouses to ensure accurate and efficient data flow. This role typically requires expertise in SQL, Python, and data modeling, as well as experience with cloud platforms and analytics tools. Since the position is remote, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive as a remote analytics engineer?

To thrive as a Remote Analytics Engineer, you should have a strong background in data analysis, data engineering, and statistical modeling, usually supported by a degree in computer science, statistics, or a related field. Expertise in tools like SQL, Python, R, cloud platforms (such as AWS or Google Cloud), and experience with data visualization tools or certifications (e.g., Google Data Analytics) are typically required. Excellent communication, problem-solving abilities, and self-motivation are vital soft skills for effective remote collaboration and delivering analytical insights. These competencies ensure you can manage complex data pipelines, work seamlessly with distributed teams, and provide actionable results that support business decisions.

What are the main challenges faced by remote analytics engineers, and how are they overcome?

Remote Analytics Engineers often encounter challenges such as coordinating across different time zones, maintaining clear communication with team members, and managing large datasets securely from a distance. These are typically addressed by leveraging collaboration tools (like Slack, Jira, or Zoom), following best practices in data security, and setting consistent check-in routines with the team. Additionally, remote engineers often use robust documentation and automated workflows to ensure data quality and project transparency. Building strong relationships and staying proactive in communication helps pave the way for successful collaboration and project delivery.

What are the most commonly searched types of Analytics Engineer jobs in Saint Paul, MN?

The most popular types of Analytics Engineer jobs in Saint Paul, MN are:

What are popular job titles related to Remote Analytics Engineer jobs in Saint Paul, MN?

For Remote Analytics Engineer jobs in Saint Paul, MN, the most frequently searched job titles are:

What job categories do people searching Remote Analytics Engineer jobs in Saint Paul, MN look for?

The top searched job categories for Remote Analytics Engineer jobs in Saint Paul, MN are:

What cities near Saint Paul, MN are hiring for Remote Analytics Engineer jobs?

Cities near Saint Paul, MN with the most Remote Analytics Engineer job openings:

Infographic showing various Remote Analytics Engineer job openings in Saint Paul, MN as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, and 3% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $94,240 per year, or $45.3 per hour.

Customer AI Operations Engineer

Expleo

Minneapolis, MN • On-site, Remote

$72K - $98K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Job description

Overview

Location: Hybrid Preferred (Minneapolis, MN or Denver, CO) | Remote ConsideredEmployment Type: Full-time

Are you passionate about ensuring AI solutions deliver real business value after deployment? Trissential is seeking a Customer AI Operations Engineer to join our client's team and take ownership of the operational success of enterprise AI agents, virtual assistants, and generative AI solutions in production. This is a unique opportunity to influence AI quality, governance, adoption, and business outcomes while partnering with product, engineering, operations, and business stakeholders.

What's in It for You?

  • Be the operational owner of cutting-edge AI solutions used across a large enterprise environment
  • Drive measurable improvements in AI quality, adoption, customer experience, and ROI
  • Collaborate with Product, AI Engineering, Operations, Security, Governance, and business SMEs
  • Gain exposure to Responsible AI practices, enterprise governance programs, and AI observability platforms
  • Work in a highly visible role where your insights directly influence AI strategy and operational outcomes
  • Opportunity to help define long-term AI operational standards and potentially transition into a permanent role

Your Role & Responsibilities

  • Own the operational performance of AI-powered solutions after implementation and hypercare
  • Monitor AI quality, response accuracy, relevance, compliance, adoption, and business outcomes
  • Develop and maintain operational scorecards covering containment, satisfaction, escalation rates, retrieval effectiveness, response quality, latency, and utilization
  • Review transcripts and AI conversations to evaluate accuracy, grounding, compliance, and overall response quality
  • Investigate hallucinations, retrieval failures, misrouted interactions, prompt issues, knowledge gaps, and workflow breakdowns
  • Manage and optimize Knowledge Hub performance through content gap analysis, search quality evaluations, source validation, and freshness monitoring
  • Support Responsible AI monitoring activities including privacy validation, governance reporting, audit readiness, bias reviews, and guardrail compliance
  • Coordinate incident investigations and identify root causes across business and technical teams
  • Translate operational findings into prioritized backlog items for Product Owners and AI Engineering teams
  • Measure and report value realization, including productivity gains, self-service adoption, customer outcomes, utilization metrics, and ROI
  • Develop operational procedures, governance standards, and knowledge-transfer documentation to support long-term sustainability

Skills & Experience You Should Possess

  • 5+ years of experience in technology operations, analytics, product operations, quality engineering, knowledge management, conversational AI, or a related field
  • At least 2 years supporting AI agents, conversational AI platforms, virtual assistants, or generative AI solutions in a production environment
  • Experience evaluating AI responses through transcript reviews, response grading, hallucination analysis, and quality scorecards
  • Strong operational analytics experience with dashboards, KPIs, performance reporting, and trend analysis
  • Knowledge of retrieval operations, search effectiveness, knowledge management, source validation, and content-gap analysis
  • Experience investigating production incidents and driving root-cause analysis efforts
  • Understanding of Responsible AI principles, governance frameworks, privacy considerations, and compliance monitoring
  • Excellent communication skills with the ability to explain AI quality issues and business impacts to diverse stakeholders
  • Strong documentation, organizational, and continuous-improvement capabilities

Bonus Points If You Have

  • Experience supporting AI agents within customer service, customer operations, or contact center environments
  • Hands-on experience with Microsoft Copilot Studio, Salesforce Agentforce, enterprise chatbot platforms, or related AI ecosystems
  • Experience with AI observability tools, conversation analytics platforms, and evaluation frameworks
  • Familiarity with Jira or similar work-management platforms
  • Background working within regulated, utility, audit-sensitive, healthcare, financial services, or privacy-focused environments
  • Experience supporting enterprise search and retrieval systems

Education & Certifications You Need

  • Bachelor's degree in Information Technology, Computer Science, Business Analytics, Data Analytics, Engineering, or a related discipline, or equivalent practical experience
  • Relevant certifications in Microsoft, Cloud Technologies, AI, IT Service Management, Product Operations, Analytics, or Data Management are beneficial
  • Certifications are valued but do not replace hands-on production AI operations experience

What We Offer

At Trissential, we believe talented professionals should have meaningful opportunities to create measurable impact while continuing to grow their careers. By joining our client's team, you'll help shape the future of enterprise AI operations while working in a collaborative and supportive environment.

  • Competitive Compensation - $90-$100 per hour. Final compensation is determined based on skill alignment, years of experience, and fair, market-based rates by geography.
  • Comprehensive Benefits for you and your dependents - Extensive Medical Plans, Dental, Vision, HSA with company contribution, company sponsored Life Insurance and Short / Long term disability insurance, a host of voluntary plans including legal, hospital, accident, pet wellness, and 401k with matching
  • Paid Holidays and Paid Time Off
  • Career Development and Advancement - Expleo is a global company in 29 Countries worldwide with a high focus on development
  • Strong Team Culture - Collaborate with experienced professionals who value precision, performance, and teamwork

Please note: This position is open only to candidates authorized to work in the United States.

Ready to be part of something exciting?

If you're passionate about operational excellence, AI quality, governance, and ensuring AI delivers measurable business value, we encourage you to apply and help shape the future of enterprise AI operations with Trissential and our client.

Employment Type: OTHER