Nymbus Logo

Nymbus

Applied AI Analyst (Multiple Roles Across Functions)

Reposted 2 Days Ago
Remote
Hiring Remotely in United States
Entry level
Remote
Hiring Remotely in United States
Entry level
The Applied AI Analyst uses AI to solve business problems by designing workflows, optimizing processes, and generating insights to drive efficiency and decision-making across teams.
The summary above was generated by AI

ABOUT NYMBUS:
Nymbus (https://nymbus.com/) isn’t just a leader in fintech; we’re a community of innovators passionate about reimagining banking. Our award-winning modern core platform and cloud-based technology serve as the backbone for financial institutions eager to modernize and excel.

Here, you won’t just be part of a tech revolution. You’ll be at the helm, driving change. You’ll fit right in if you’re a creative thinker who’s eager to reduce technical debt and increase agility for banks and credit unions. Our culture thrives on collaboration, integrity, and a client-first approach.

We operate with an AI-first mindset across all aspects of our business, continuously improving our efficiency and increasing the value we deliver to clients. We’re looking for individuals who are intensely curious about emerging technologies and passionate about innovation.

Your journey with us won’t simply advance your career; it will offer the chance to help shape an industry alongside like-minded professionals. We’re excited to consider you a key player in this transformative chapter. Thank you for considering a role with Nymbus.

WORK ENVIRONMENT:

We are primarily a remote-first company, but you may need to travel to visit client sites or attend meetings at designated locations with your team members.

ROLE OVERVIEW:

The Applied AI Analyst operates at the intersection of business, data, and AI to solve complex problems and drive measurable outcomes. This role partners with functional leaders to bring analytical rigor, structure, and AI-enabled solutions to high-impact decisions, workflows, and strategic initiatives.

Applied AI Analysts do not operate in theory alone—they are hands-on builders and problem solvers who design, prototype, and deploy AI-driven approaches that improve efficiency, decision-making, and business performance.

CORE RESPONSIBILITIES:
  • Problem Structuring & Analysis
    • Break down ambiguous business problems into clear analytical frameworks
    • Develop insights that inform decisions across product, engineering, operations, and go-to-market functions
  • AI-Driven Solutions
    • Design and prototype AI-enabled workflows, tools, and use cases
    • Apply AI to improve efficiency, quality, and scalability of work
    • Identify and prioritize opportunities for automation and augmentation
  • Workflow & Process Optimization
    • Analyze existing workflows to identify inefficiencies, gaps, and bottlenecks
    • Redesign processes to improve speed, consistency, and outcomes
    • Implement repeatable, scalable solutions
  • Data & Insight Generation
    • Build models, dashboards, and frameworks that drive visibility into performance
    • Synthesize large volumes of structured and unstructured data into actionable insights
  • Reusable Asset Development
    • Create templates, playbooks, and tools that can be leveraged across teams
    • Turn one-off work into repeatable, scalable capabilities
  • Cross-Functional Partnership
    • Work across teams (Product, Engineering, Operations, Sales, etc.) to support high-priority initiatives
    • Translate between technical and business stakeholders
WHAT SUCCESS LOOKS LIKE:
  • Measurable improvements in efficiency, quality, or revenue outcomes in assigned functional area(s)
  • AI solutions that are adopted and reused across teams
  • Better, faster decision-making supported by data and analysis
  • Reduction in manual effort and process variability
  • Creation of scalable frameworks, not one-off outputs
CORE SKILLS & CAPABILITIES:
  • Strong analytical thinking and problem-solving ability
  • Ability to work with ambiguity and define structure
  • Experience applying AI tools (e.g., LLMs, automation tools) to real-world problems
  • Process design and optimization mindset
  • Clear communication and ability to influence stakeholders
  • Bias toward action, experimentation, and iteration

BENEFITS:

  • Opportunities for progressive role seniority and compensation growth based on the candidate’s knowledge and experience
  • Competitive annual salary, performance-based cash bonus, and equity options
  • Fully remote work environment
  • 401(k) retirement plan
  • Comprehensive health, dental, and vision insurance

 


Ready to join?  We invite you to watch this video and learn who we are and how we build and innovates together!

Let’s Go!

Similar Jobs

6 Hours Ago
Remote or Hybrid
PA, USA
75K-113K Annually
Mid level
75K-113K Annually
Mid level
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Manage a portfolio of dealer clients to retain and grow revenue via product utilization, upgrades, upsells and consultative support. Monitor account performance, resolve risks, deliver trainings, conduct virtual and occasional onsite engagements, collaborate with internal teams, and support new PMs and special projects to drive client success.
Top Skills: MS OfficeScreen Share TechnologiesWeb-Based Systems
6 Hours Ago
Remote or Hybrid
United States
67K-101K Annually
Junior
67K-101K Annually
Junior
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Provide tactical HR support for Manheim Shared Services including employee relations, program implementation, talent and workforce initiatives, data analysis and reporting, and continuous improvement. Advise managers on policies, coordinate HR program logistics, conduct exit interviews, and partner with HRBPs and COEs to improve employee experience and organizational effectiveness. Up to 25% travel; US remote.
Top Skills: Excel
6 Hours Ago
Remote or Hybrid
OH, USA
75K-113K Annually
Mid level
75K-113K Annually
Mid level
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Manage a portfolio of dealer clients to retain and grow revenue through product adoption, upsells, consultative engagement, performance analysis, and issue resolution. Serve as client advocate, deliver trainings, collaborate with teams, and travel to client sites as needed.
Top Skills: Microsoft SuiteScreen Share TechnologiesWeb-Based Systems

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

  • Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
  • Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
  • Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
  • Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account