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Hourly Remote Data Analyst Jobs in Kansas (NOW HIRING)

Catastrophe Risk Modeler

Kansas City, KS · On-site +1

$125K - $162K/yr

The Catastrophe Risk Modeler performs catastrophe modeling, data analytics, and geospatial analysis ... This is a full-time remote position. Residency within the United States is required.

$18 - $50/hr

Key Responsibilities: * Develop and curate engineering datasets for AI, analytics, and ... LI-Remote #SWSaaS You'll Benefit From The hourly pay range for this position $18 - $50 per hour ...

$18 - $50/hr

Key Responsibilities: * Develop and curate engineering datasets for AI, analytics, and ... LI-Remote #SWSaaS You'll Benefit From The hourly pay range for this position $18 - $50 per hour ...

$18 - $50/hr

Key Responsibilities: * Develop and curate engineering datasets for AI, analytics, and ... LI-Remote #SWSaaS You'll Benefit From The hourly pay range for this position $18 - $50 per hour ...

$18 - $50/hr

Key Responsibilities: * Develop and curate engineering datasets for AI, analytics, and ... LI-Remote #SWSaaS You'll Benefit From The hourly pay range for this position $18 - $50 per hour ...

$18 - $50/hr

Key Responsibilities: * Develop and curate engineering datasets for AI, analytics, and ... LI-Remote #SWSaaS You'll Benefit From The hourly pay range for this position $18 - $50 per hour ...

This is a remote, individual-contributor role with significant visibility and impact. What You'll ... Conduct win/loss analysis, using both quantitative and qualitative data source to determine why ...

Senior Data Engineer

Kansas, KS · On-site +1

$93K - $127K/yr

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... Data Enablement for Analytics & Data Science: Partner closely with data scientists to prepare ...

$125K - $165K/yr

Support Product and Data Analytics teams with curated datasets and high-performance query patterns ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

CrowdStrike is seeking an exceptional Senior Data Scientist to join our NGSIEM Agentic AI team ... In this role, you will design, build and deploy advanced AI systems that analyze and prioritize ...

$125K - $165K/yr

Support Product and Data Analytics teams with curated datasets and high-performance query patterns ... Flexible Work Environment Whether remote, hybrid, or in-office, we support work arrangements that ...

AVP, Strategic Analysts

Home, KS · Remote

$80K - $99K/yr

College degree in Computer Science, Engineering, Data Analytics, or equivalentexperience #LI-LH1 #LI-REMOTE For individuals assigned or hired to work in the location(s) indicated below, the base ...

Showing results 41-60

Hourly Remote Data Analyst information

What is an hourly remote data analyst?

Hourly Remote Data Analysts are professionals who work from a remote location to analyze data for organizations, typically on an hourly wage basis. Their responsibilities often include collecting, cleaning, and interpreting data to help businesses make informed decisions. They use statistical tools and software to identify trends, generate reports, and provide actionable insights. Working remotely allows them flexibility, while being paid hourly means their compensation is based on the time spent on tasks rather than a fixed salary.

How does working as an hourly remote data analyst impact collaboration with team members and project managers?

As an hourly remote data analyst, you’ll typically collaborate with cross-functional teams using digital communication tools like Slack, Zoom, and project management platforms. While you may have flexibility in your work hours, it’s important to align your availability with key team meetings and project deadlines. Clear communication and proactive status updates help ensure smooth collaboration and project success. You may also be expected to document your work thoroughly, making it easy for teammates in different time zones to understand your analyses and findings.

What are the key skills and qualifications needed to thrive as an hourly remote data analyst, and why are they important?

To thrive as an Hourly Remote Data Analyst, you need strong analytical skills, data interpretation abilities, and proficiency with data management, often supported by a relevant degree or equivalent experience. Familiarity with technical tools such as Excel, SQL, Python, and data visualization platforms like Tableau or Power BI is typically required. Exceptional attention to detail, time management, and clear remote communication are crucial soft skills for this role. These competencies enable effective data-driven decision-making, reliable remote collaboration, and high productivity in a flexible working environment.

What is the difference between Hourly Remote Data Analyst vs Hourly Remote Data Scientist?

AspectHourly Remote Data AnalystHourly Remote Data Scientist
Required CredentialsBachelor's in Data, Statistics, or related field; often certifications in Excel, SQLBachelor's or higher in Data Science, Computer Science, or related; certifications in Python, R, or machine learning
Work EnvironmentRemote, project-based, often in business or marketing sectorsRemote, research-focused, often in tech, finance, or healthcare industries
Employer & Industry UsageUsed by companies needing data interpretation for decision-makingUsed by organizations developing models, algorithms, and advanced analytics

While both roles involve working with data remotely, data analysts focus on interpreting data to inform business decisions, whereas data scientists develop models and algorithms for deeper insights. The roles share similar credentials but differ in complexity and scope.

What are the most commonly searched types of Remote Data Analyst jobs in Kansas?

The most popular types of Remote Data Analyst jobs in Kansas are:

What cities in Kansas are hiring for Hourly Remote Data Analyst jobs?

Cities in Kansas with the most Hourly Remote Data Analyst job openings:

Catastrophe Risk Modeler

Naic

Kansas City, KS • On-site, Remote

$125K - $162K/yr

Full-time

Posted 11 days ago


Key responsibilities

  • Execute catastrophe modeling projects by identifying data and models, selecting methodologies, establishing assumptions, and managing technical timelines.

  • Perform complex catastrophe model analyses involving multiple vendor platforms, evaluate differences among models, and conduct sensitivity testing and uncertainty analysis.

  • Prepare and validate exposure data, configure and run catastrophe models, analyze outputs, and communicate model limitations.


Job description

Job Description:

The Regulatory Affairs division of the National Association of Insurance Commissioners (NAIC) has an exciting opportunity for a Catastrophe Risk Modeler. The Catastrophe Risk Modeler performs catastrophe modeling, data analytics, and geospatial analysis to support state insurance regulators in understanding and managing natural catastrophe risk. This position uses commercial catastrophe models, insurance and notional exposure datasets, and other analytical tools to help states prioritize resilience initiatives, mitigation programs, grant funding, and other investments based on hazard, exposure, vulnerability, mitigation potential, and expected loss reduction. This is a full-time remote position. Residency within the United States is required.

Responsibilities Include

  • Works with the Sr. Catastrophe Risk Modeler and Sr. Manager of CAT Modeling Center of Excellence to execute assigned catastrophe modeling projects, including identifying appropriate data and models, selecting methodologies, establishing assumptions, designing quality-control procedures such as documentation and validation/peer-review, managing technical timelines, and communicating results and limitations.
  • Executes complex catastrophe model analyses involving multiple vendor platforms, perils, geographic regions, portfolios, or regulatory applications. Evaluates differences among models and scenarios through sensitivity testing, uncertainty analysis, benchmarking, and reconciliation of results.
  • With guidance from the Sr. Catastrophe Risk Modeler, prepares and validates exposure data, configures and executes catastrophe model runs, conducts quality assurance and reasonableness reviews, analyzes model outputs, and articulates model limitations.
  • Works on the development of analytical tools, interactive dashboards, maps, tables, charts, and other visual products using platforms such as Tableau, Power BI, and ArcGIS.
  • Assists in delivering regulator education, including introductory programs such as CAT 101 and advanced training on model components, assumptions, uncertainty, validation, and regulatory applications.
  • Assists in evaluating new catastrophe model versions, data sources, analytical tools, artificial intelligence applications, and emerging methodologies.

Minimum Education and/or Experience Required

  • Bachelor's or master's degree in a quantitative or technical field such as applied mathematics, actuarial science, statistics, data science, insurance, risk management, engineering, physics, atmospheric science, geography, geospatial science, or a related discipline is required and 5+ years of experience in delivering complex catastrophe modeling, data analysis, geospatial analysis, or applied risk analytics, including significant experience within property insurance, reinsurance, catastrophe risk, or a closely related field or an equivalent combination of education and experience.
  • Hands-on experience with at least one recognized commercial catastrophe modeling platform, such as Moody's RMS, Verisk, or another comparable vendor platform, is required. Experience should include preparing model data, configuring and executing analyses, evaluating results, and communicating model assumptions and limitations.
  • Proficiency with Microsoft Excel, SQL, GIS tools (e.g., ArcGIS), cloud analytics, and at least one programming or statistical language, such as Python, R, or SAS, is required.
  • Strong written and verbal communication skills are required, including the ability to explain complex catastrophe modeling concepts and analytical conclusions to regulators, executives, technical experts, and nontechnical audiences.
  • Knowledge of emerging risks, including physical climate risk, casualty catastrophe risk, or cyber catastrophe risk, is beneficial.

Preferred Experience

  • Relevant professional credentials-such as CPCU, CEEM, CCRA, CSCR, CCRMP, ARM, ARe, or actuarial designation.

Systems & Technology Requirements

  • Microsoft Office Suite
  • GIS tools
  • At least one programming or statistical language

Travel

This position requires regular, out-of-state, overnight travel in support of member meetings and events throughout the year. Must be able and willing to travel to locations throughout the United States and with such frequency as necessary to meet the needs of this position and the Association. Estimated travel is up to 30%.

Compensation

$125,000 - $162,000 commensurate with education and experience.

Sponsorship

Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Interested in learning more about the amazing benefits the NAIC offers? Visit our Benefits page for more information.

The NAIC is proud to be an Equal Opportunity Employer

Applicants for all positions are considered without regard to age, race, creed, color, religion, sex, sexual orientation, gender identity or expression, national origin or ancestry, marital status, pregnancy, genetic information, military or veteran status, disability, or any other basis protected by applicable law.