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Predictive Analytics Jobs in Nevada (NOW HIRING)

Risk Modeler I

Las Vegas, NV · On-site

$52.75 - $68.50/hr

Preferred * 2+ years of experience gathering data requirements for statistical, econometric, predictive analytics research that drives market research/consumer analytics product innovation and ...

Risk Modeler I

Las Vegas, NV · On-site

$52.75 - $68.50/hr

Preferred * 2+ years of experience gathering data requirements for statistical, econometric, predictive analytics research that drives market research/consumer analytics product innovation and ...

Risk Modeler I

Las Vegas, NV · On-site

$52.75 - $68.50/hr

Preferred * 2+ years of experience gathering data requirements for statistical, econometric, predictive analytics research that drives market research/consumer analytics product innovation and ...

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Showing results 1-20

Predictive Analytics information

See Nevada salary details

$27.5K

$114.8K

$204.2K

How much do predictive analytics jobs pay per year?

As of Aug 22, 2026, the average yearly pay for predictive analytics in Nevada is $114,786.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,000.00 and $125,300.00 per year, depending on experience, location, and employer.

What is predictive analytics?

A Predictive Analytics job involves using statistical techniques, machine learning models, and data analysis to forecast future trends and outcomes. Professionals in this field work with large datasets to identify patterns, assess risks, and provide data-driven recommendations. They commonly apply predictive models in industries such as finance, marketing, healthcare, and supply chain management. The role typically requires expertise in programming languages like Python or R, data visualization, and strong problem-solving skills.

What are the key skills and qualifications needed to thrive in predictive analytics?

To thrive in Predictive Analytics, you need strong skills in statistical analysis, data modeling, and a solid educational background in mathematics, statistics, computer science, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms, as well as certifications like SAS or Microsoft Certified Data Analyst, is highly valued. Excellent problem-solving abilities, attention to detail, and effective communication are crucial soft skills for translating complex data into actionable insights. These skills are essential for accurately forecasting trends, informing business decisions, and effectively collaborating with cross-functional teams.

What are some typical challenges faced in a predictive analytics position?

Professionals in Predictive Analytics often encounter challenges such as dealing with incomplete or inconsistent data, selecting the most appropriate modeling techniques, and ensuring models are both accurate and interpretable for business stakeholders. Additionally, balancing multiple projects with tight deadlines and aligning analytics solutions with strategic objectives can be demanding. However, these challenges provide excellent opportunities for creative problem-solving, collaboration with various departments, and continuous learning in a rapidly evolving field. Supportive team structures and access to up-to-date analytical tools typically help professionals overcome these obstacles. Embracing these challenges can significantly enhance your expertise and career trajectory in predictive analytics.

What degree do I need for predictive analytics?

Predictive analytics roles typically require at least a bachelor's degree in fields such as statistics, data science, computer science, or mathematics. Advanced positions may prefer or require a master's degree or higher, along with skills in programming languages like Python or R and experience with data analysis tools.

What is a predictive analytics job description?

A predictive analytics job involves analyzing data to identify patterns and develop models that forecast future outcomes. Professionals in this role use statistical techniques, machine learning tools, and programming languages like Python or R to support data-driven decision-making within organizations.

What jobs use predictive analytics?

Predictive analytics is used in a variety of roles such as data analyst, data scientist, business analyst, and risk analyst. These jobs involve analyzing data to forecast trends, improve decision-making, and optimize processes, often requiring skills in statistical modeling, machine learning, and tools like Python or R.

What are the most commonly searched types of Predictive Analytics jobs in Nevada?

The most popular types of Predictive Analytics jobs in Nevada are:

What cities in Nevada are hiring for Predictive Analytics jobs?

Cities in Nevada with the most Predictive Analytics job openings:

Infographic showing various Predictive Analytics job openings in Nevada as of August 2026, with employment types broken down into 1% Internship, 90% Full Time, 6% Part Time, and 3% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $114,786 per year, or $55.2 per hour.

Predictive Maintenance & Analytics Manager

Allegiant

Las Vegas, NV • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

Summary
The Manager of Predictive Maintenance & Analytics is responsible for establishing and advancing Allegiant's predictive maintenance strategy across the Airbus A320 family and Boeing 737 family fleets. This position leads the identification, prioritization, validation, and operational deployment of predictive use cases and oversees their development using aircraft sensor data, maintenance history, component performance, and operational events. The Manager provides leadership and direction for the Predictive Analytics function, establishes program standards and performance measures, and ensures predictive insights are integrated across Technical Operations, including Engineering, Maintenance Control, Reliability, Maintenance Planning, Supply Chain, and Line Maintenance. The position develops implementation roadmaps and business cases, measures operational and financial value, and communicates emerging fleet risks and recommended actions to Technical Operations leadership.

Visa Sponsorship Available: No

Minimum Requirements
Combination of Education and Experience will be considered. Must be authorized to work in the US as defined by the Immigration Act of 1986. Must pass a Criminal Background Check.
Education: Bachelor's Degree
Education Details: Bachelor's degree in Engineering, Data Science, Statistics, Business Analytics, Information Systems, Aviation Management, or a related quantitative or technical field.
Years of Experience: Minimum seven (7) years of experience in airline maintenance, aircraft engineering, predictive maintenance, aircraft health monitoring, aviation analytics, or a related technical field, including demonstrated experience leading personnel, technical projects, or cross-functional programs.

   Experience translating aircraft, maintenance, component, and operational data into actionable maintenance or engineering decisions.
   Working knowledge of aircraft systems, airline maintenance processes, reliability programs, and continued airworthiness requirements.
   Working knowledge of Python, SQL, statistical modeling, machine learning, and business intelligence platforms sufficient to direct technical development and evaluate analytical results.
   Experience establishing program priorities, implementation roadmaps, performance measures, and business cases.
   Ability to evaluate predictive alert performance, operational effectiveness, maintenance findings, and realized value.
   Experience working with large datasets, reporting tools, and data visualization platforms.
   Ability to lead multiple complex initiatives and manage competing operational priorities.
   Strong strategic thinking, critical thinking, decision-making, and problem-solving skills.
   Ability to proactively manage stakeholder expectations and influence outcomes across organizational levels.
   Outstanding written, verbal, presentation, and executive communication skills.
   Excellent attention to detail.
   Exceptional reliability; punctual attendance is an essential function of the position.

Preferred Requirements
   Master's degree in Engineering, Data Science, Statistics, Aviation Management, or a related field.
   Experience leading predictive maintenance or aircraft health monitoring programs in an airline, OEM, or MRO environment.
   Experience with Skywise, aircraft health monitoring systems, Palantir Foundry, TRAX, or comparable maintenance and analytics platforms.
   Working knowledge of Airbus A320 family and Boeing 737 family aircraft systems.
   FAA Airframe and Powerplant certificate.
   Experience working directly with aircraft OEMs, component manufacturers, technology providers, or regulatory authorities.
   Experience integrating predictive insights into maintenance, engineering, reliability, supply chain, or operational workflows.

Job Duties
   Lead Allegiant's predictive maintenance and aircraft health monitoring strategy, roadmap, implementation priorities, and performance standards for the Airbus A320 family and Boeing 737 family fleets.
   Manage, develop, and establish priorities for Predictive Analytics personnel responsible for analytical applications, predictive models, data integration, alert validation, reporting, and platform support.
   Identify and prioritize predictive use cases based on operational risk, technical feasibility, data availability, fleet impact, and expected return on investment.
   Provide oversight of predictive model development, alert logic, analytical applications, troubleshooting guidance, and operational decision-support tools.
   Establish standards for data quality, predictive alert validation, documentation, model governance, access controls, and continued performance monitoring while ensuring compliance with applicable safety, regulatory, continued-airworthiness, and company requirements.
   Ensure predictive alerts and component or system degradation insights are integrated into Engineering, Maintenance Control, Reliability, Maintenance Planning, Supply Chain, and Line Maintenance workflows.
   Direct and approve the development of troubleshooting guidance, planned maintenance interventions, and operational protection strategies based on predictive findings.
   Monitor program performance using alert accuracy, maintenance findings, intervention lead time, avoided service interruptions, repeat defects, component performance, and cost savings.
   Develop business cases for predictive maintenance capabilities, technology investments, and new analytical use cases; communicate measurable value to Technical Operations leadership.
   Maintain strategic relationships with aircraft OEMs, component manufacturers, technology providers, other operators, and applicable industry working groups.
   Provide predictive risk insights and decision support across Technical Operations to inform aircraft routing, maintenance planning and execution, material positioning, component management, and operational protection decisions.
   Promote adoption of predictive tools and processes through stakeholder engagement, training oversight, executive communication, and continuous improvement.
   Ensure any direct reports understand and apply our Customer Commitment and customer service standards to their daily responsibilities as appropriate. 
   Model Allegiant's customer service standards in personal actions and when providing leadership direction.
   Perform other duties as assigned.

Physical Requirements
The Physical Demands and Work Environment described here are a representative of those that must be met by a Team Member to successfully perform the essential functions of the role. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the role.
Office - While performing the duties of this job, the Team Member is regularly required to stand, sit, talk, hear, see, reach, stoop, kneel, and use hands and fingers to operate a computer, key board, printer, and phone. May be required to lift, push, pull, or carry up to 20 lbs. May be required to work various shifts/days in a 24-hour situation. Regular attendance is a requirement of the role. Exposure to moderate noise (i.e. business office with computers, phones, printers, and foot traffic), temperature and light fluctuations. Ability to work in a confined area as well as the ability to sit at a computer terminal for an extended period of time. Some travel may be a requirement of the role.

Essential Services Provider
Allegiant as a national air carrier is deemed an essential service provider during declared national and state emergencies. Team Members will be required to report to their assigned trip or work location during national and state emergencies unless prohibited by local, state or federal order.

EEO Statement
We welcome all individuals from varied backgrounds and experiences to apply. Our company values the unique perspectives and talents that each person brings to our team.

Equal Opportunity Employer: Disability/Veteran
For more information, see https://allegiantair.jobs

$110,000 - $135,000 a year
Full Time Benefits:
Profit Sharing
Medical/Dental/Vision/Life/ Disability Insurance
Medical Travel Reimbursement
Legal, Identity and Pet Insurance
401K with an employer match
Employee Stock Purchase Plan
Employee Assistance Program
Tuition Reimbursement
Flight Benefits
Paid vacation, holidays, and sick time
 
Part Time Benefits:
Profit Sharing
Medical Travel Reimbursement
Legal, Identity and Pet Insurance
401K with an employer match
Employee Stock Purchase Plan
Employee Assistance Program
Tuition Reimbursement
Flight Benefits
Sick time
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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