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Data Analytics Analyst Jobs in Fargo, ND (NOW HIRING)

Technical Architect - Data, Analytics & AI

Fargo, ND ยท Hybrid

$62.50 - $80.50/hr

  • Medical

  • Life

  • Retirement

  • PTO

This role is accountable for proactively leading data, analytics, and AIdriven technology transformation initiatives and enabling measurable business outcomes across the enterprise. The Technical ...

Analytics and Reporting: Design and execute data analyses to derive actionable insights, providing stakeholders with regular reports on marketing performance and audience behaviour. * Collaboration ...

AI Solution Analyst

West Fargo, ND ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Bachelor's degree in Information Technology, Computer Science, Business, Data Analytics, or related field and/or relevant experience supporting technology-enabled business process improvement. * 0-2 ...

Fraud Risk Analyst

Fargo, ND ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Extensive data analytics experience in fraud analytics, fraud prevention, risk management, financial services, cybersecurity, or a related field, and experience translating findings into business ...

Digital Analyst Internships

Fargo, ND ยท On-site

$96K - $114K/yr

... data from tools like Google Analytics, PowerBI, Excel, and Looker Studio to extract actionable insights * Supporting usability testing and interpreting user behavior data to recommend experience ...

Fraud Analyst

Fargo, ND ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Demonstrate and maintain advanced coding and data analysis skills (SAS, SQL) * Collaborate with cross-functional teams to align and improve fraud mitigation efforts. * Lead monthlybusiness reviews ...

New

IRA Installation Analyst

Fargo, ND ยท On-site

  • Medical

  • Dental

  • Vision

  • Retirement

The IRA Installation Analyst assists with the plan set up process and ensures the Financial ... Data input and verification of all customer information pertaining to the initial application

Senior Data Modeler

Fargo, ND ยท Remote

$40/hr

The Senior Data Modeler leads collaboration with data architects, data engineers, and business stakeholders to translate complex business rules and analytical requirements into robust conceptual ...

Maintains various departmental statistical and financial data. Projects may include evaluating the ... The Financial Analyst is a professional role and must demonstrate the ability to manage competing ...

HR Analyst - Compensation (Level DOE)

West Fargo, ND ยท On-site

$64K - $87K/yr

Bachelor's degree in related field or equivalent related experience * 2-4 years of experience in HR analytics, reporting, and data-driven decision-making * Strong proficiency in HR software and tools ...

Maintains various departmental statistical and financial data. Projects may include evaluating the ... The Financial Analyst is a professional role and must demonstrate the ability to manage competing ...

Senior Financial Analyst

Fargo, ND ยท On-site

$83K - $104K/yr

Maintain and report management systems, reviewing all financial data for accuracy. Maintains ... The Senior Financial Analyst works on projects that contribute to the financial functioning of ...

Authentication Fraud Strategy Analyst

Fargo, ND ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

This role leverages advanced analytics, fraud intelligence, and customer behavior insights to ... data-driven decision making, support strategic initiatives, and enhance authentication ...

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Showing results 1-20

Data Analytics Analyst information

See Fargo, ND salary details

$33.4K

$81.1K

$133.5K

How much do data analytics analyst jobs pay per year?

As of Aug 13, 2026, the average yearly pay for data analytics analyst in Fargo, ND is $81,138.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,400.00 and $95,200.00 per year, depending on experience, location, and employer.

What does a data analytics analyst do?

A Data Analytics Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed decisions. They use statistical tools and software to uncover trends, patterns, and insights from large datasets. Their work often involves creating reports, visualizations, and presentations to communicate findings to stakeholders. Data Analytics Analysts play a vital role in helping businesses optimize operations, improve customer experiences, and identify new opportunities.

What are the key skills and qualifications needed to thrive as a data analytics analyst?

To thrive as a Data Analytics Analyst, you need strong quantitative skills, experience with data analysis, and typically a degree in statistics, mathematics, computer science, or a related field. Proficiency with tools such as SQL, Python or R, and data visualization platforms like Tableau or Power BI, along with knowledge of data management systems, is crucial. Critical thinking, attention to detail, and effective communication skills help analysts interpret data and clearly convey insights to stakeholders. These skills are vital for transforming raw data into actionable business intelligence that drives informed decision-making.

Is data analytics a well paid job?

Data analytics analysts typically earn competitive salaries that vary by experience, location, and industry. Professionals with skills in tools like SQL, Python, or Tableau and relevant certifications tend to have higher earning potential. Overall, data analytics is considered a well-paying field within the tech and business sectors.

What are some common challenges data analytics analysts face when interpreting large datasets, and how can they overcome them?

Data Analytics Analysts often encounter challenges such as data quality issues, incomplete datasets, and difficulties in identifying meaningful patterns or insights. To overcome these, analysts should prioritize thorough data cleaning, leverage robust data validation techniques, and collaborate closely with stakeholders to understand the business context. Additionally, using advanced analytical tools and maintaining clear documentation can help ensure accurate interpretations and more actionable recommendations.
What are popular job titles related to Data Analytics Analyst jobs in Fargo, ND? For Data Analytics Analyst jobs in Fargo, ND, the most frequently searched job titles are:
Infographic showing various Data Analytics Analyst job openings in Fargo, ND as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $81,138 per year, or $39 per hour.

Technical Architect - Data, Analytics & AI

Munich Re

Fargo, ND โ€ข Hybrid

$62.50 - $80.50/hr

Full-time

Medical, Life, Retirement, PTO

Re-posted 7 days ago


Job description

Location: Princeton, New Jersey Hybrid 40-50% onsiteย 

Role Overview

We are seeking aย Technical Architect (TA) with deep expertise in Data, Analytics, and Artificial Intelligence (AI) to join the IT Enterprise Architecture organization. This role is accountable for proactively leading data, analytics, and AIdriven technology transformation initiatives and enabling measurable business outcomes across the enterprise.

The Technical Architect will play a critical role inย transforming local, legacy, datadriven processes, and systems into centralized, scalable, and groupwide platforms, while ensuring alignment with enterprise architecture standards and business strategy.

Technical Architects provide technical leadership acrossย analysis, design, facilitation, and execution, supporting the evolution of enterprise Data, Analytics, and AI capabilities and the associated application portfolios and technology stacks. The role owns the creation of key architectural deliverables such as targetstate architectures, transformation roadmaps, standards, and guidelines to enable successful project delivery and longterm strategic outcomes.

This position is based in the USA and ensures that Data, Analytics, and AI architecture vision, principles, and standards are consistently executed through a common enterprise framework, with a strong emphasis on cloudbased data platforms, AI enablement, and data governance.

The ideal candidate will help advance organizational directives around simplification, modernization, and innovation by providing architectural leadership in enterprise data platforms, integration components, and AIenabled data strategies.

Key Responsibilities

  • Assist in the development of a multiyear Data, Analytics, and AI roadmap, aligned with the Munich Re Target Architecture and Roadmap Development Process, in collaboration with Data & Analytics Enterprise Architects.
  • Drive standardization of Data, Analytics, and AI technology standards, principles, and guidelines across multiple business entities.
  • Define and maintain technical standards for enterprise data management, analytics platforms, and AI enablement capabilities.
  • Design and guide datacentric and AIenabled initiatives, supporting the transition from traditional data architectures to nextgeneration cloud, analytics, and AI platforms.
  • Act as an evangelist and ambassador for enterprise architecture standards including Data Governance. Data Intake and Ingestion. Data Modeling, Data Integration, Analytics and AI lifecycle management
  • Collaborate closely with Business Solutions teams, Technology Architects, and Enterprise Data Architects across initiatives and implementations.
  • Identify technologyrelated business pain points by mapping business capabilities to current platforms, leveraging EA practices and participating in innovation activities, including AI adoption.
  • Enable IT development and infrastructure teams to make informed technology decisions through frameworks, reference architectures, standards, and reusable patterns.
  • Identify technical risks, architectural gaps, and vulnerabilities that could impact project delivery or lead to postrelease defects.
  • Reduce cost and complexity through standardization, reuse, and rationalization of data, analytics, and AI platforms.
  • Partner with EA and TA peers (enterprise, solution, and business architects) to derive the futurestate technology architecture, aligned to business strategy and external trends.
  • Define migration and transformation plans to close gaps between current and target states, in alignment with Business Solutions and Business Technology Architects.
  • Support governance, assurance, and compliance activities to ensure alignment with enterprise architecture standards and policies.
  • Assess and articulate the organizational, skills, process, and financial impact of changes to the application portfolio, data platforms, and AI stack.
  • Define and govern enterprise AI architecture standards, including model lifecycle management, MLOps, and AI platform integration.
  • Ensure responsible and compliant AI adoption, aligned with AI governance, model risk management, data privacy, and security controls.
  • Guide the integration of AI/ML capabilities into analytics platforms, including predictive, prescriptive, and generative AI use cases.
  • Collaborate with Data Science, Engineering, Security, and Risk teams to enable scalable, secure, and explainable AI solutions.
  • Establish architectural patterns for AI model deployment, monitoring, versioning, and retraining in cloud environments.
  • Evaluate emerging AI technologies, tools, and platforms and provide strategic recommendations for enterprise adoption.

ย 

Your Profile

  • 4+ years of experience in Enterprise Architecture or Technical Architecture.
  • Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Mathematics, or Business (or equivalent).
  • Strong experience with cloud platforms and services, including:
    • Azure (e.g.; Azure AI Studio, Azure Data Services and tools)
    • AWSย  (e.g.; Amazon Bedrock, Sagemaker, Data Services and tools)
    • Databricks
  • Handson experience with enterprise data concepts, including:
    • Data Intake and Ingestion
    • Data Warehousing
    • Data Lakes / Lakehouse architectures
    • ETL / ELT
    • Interactive and operational reporting
    • Statistical and regulatory reporting
    • Master Data Management (MDM)
    • Data Governance, Quality, Security, Audit, Balance & Control
  • Solid understanding of enterprise architecture practices, including:
    • Architectural patterns
    • Roadmaps
    • Architecture Review Boards
    • Solution Design Boards
  • Experience defining data management and AI roadmaps, cloudbased services, and reusable architectural patterns.
  • Experience integrating operational data with enterprise data lakes.
  • Strong understanding of data integration challenges and solution patterns.
  • Experience with statistical and data science languages such as Python and R (strong asset).
  • Exposure to AI/ML concepts, including model development, deployment, monitoring, and MLOps (required).
  • Familiarity with Generative AI concepts, AI platforms, and enterprise adoption considerations (strong asset).
  • Strong business acumen with deep understanding of:
    • Financial systems
    • Corporate and backoffice systems
    • Enterprise data management, analytics, and AI technology landscape
  • Strong problemsolving skills, unquestioned integrity, and high collaboration capability.
  • Passion for innovation, continuous improvement, modernization, and change management.
  • Excellent written and verbal communication skills, with the ability to communicate effectively at all levels.
  • High sense of ownership, accountability, and pride in delivered outcomes.

At Munich Re US, we see Diversity and Inclusion as a solution to the challenges and opportunities all around us. Our goal is to foster an inclusive culture and build a workforce that reflects the customers we serve and the communities in which we live and work. We strive to provide a workplace where all of our colleagues feel respected, valued and empowered to achieve their very best every day. We recruit and develop talent with a focus on providing our customers the most innovative products and services.

We are an equal opportunity employer. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

The Company is open to considering candidates in Princeton, NJ. The salary range posted below applies to the Company's Princeton location.

The base salary range anticipated for this position isย $141,800 - $207,900ย plus opportunity for company bonus based upon a percentage of eligible pay.ย  In addition, the company makes available a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO).ย 

The salary estimate displayed represents the typical salary range for candidates hired in this position in Princeton. Factors that may be used to determine your actual salary include your specific skills, how many years of experience you have and comparison to other employees already in this role. Most candidates will start in the bottom half of the range.ย