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Predictive Analytics Jobs in Nevada (NOW HIRING)

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Business Analytics Tutor

Reno, NV · Remote

$18 - $40/hr

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Machine Learning Tutor

Reno, NV · Remote

$18 - $40/hr

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Emphasizes practical model development workflow and connects machine learning to recommendation systems, fraud detection, and predictive analytics. * Curriculum Awareness & Adaptive Instruction:

Be Seen First

Supply chain analysts also rely on technical skills in areas such as data visualization, SQL analysis, and predictive modeling. The job responsibilities of a supply chain analyst include: * Analyzing ...

VP of Data & Analytics

Las Vegas, NV · On-site

$260 - $320/hr

The VP of Data & Analytics is the senior leader responsible for AGS's entire data strategy, data ... predictive maintenance and yield management * Support the agentic AI program -- ensure data ...

Showing results 21-40

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.

Specialist, Asset Management

Invitation Homes

Las Vegas, NV • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 16 days ago


Invitation Homes rating

8.7

Company rating: 8.7 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

14th of 256 rated facilities management


Job description

Job Summary
The Specialist of Asset Management is responsible for providing analytical and operational support on company-wide Asset Management programs and projects designed to strategically reinvest capital within the owned single-family rental (SFR) portfolio across 16 markets. Responsibilities include driving field-level capital program execution, leveraging advanced analytics and AI-assisted tools to optimize asset level NOI performance, and partnering closely with corporate and field teams as well as external investors and partners. The role requires demonstrated expertise in the residential single-family rental space, including familiarity with SFR market dynamics, asset lifecycle management, and data-driven disposition and reinvestment decision-making. This position will report to the Senior Manager, Asset Management.
Essential Job Duties and Responsibilities
Capital Reinvestment & Field Execution
  • Collaborate with operations teams and support other cross-functional business verticals to facilitate, execute, and expand capital reinvestment programs across all markets
  • Track and report on capital deployment and program performance at both the individual asset and market level, partnering with field teams to ensure approved projects are executed on schedule and within budget
  • Review and approve project proposals in compliance with established processes, workflows, and authority levels
  • Support the development of market-level business plans, including renovation program ROI analysis, hold/sell recommendations, and market-specific reinvestment strategies
Analytics, Reporting & Decision-Making
  • Develop and administer dashboards, analyses, and reports across all reporting cadences (ad-hoc as needed) using Tableau, Power BI, and other intelligence platforms
  • Leverage internal dashboards, predictive analytics tools, and automated valuation models (AVMs) to identify portfolio performance outliers, forecast NOI and rent growth, and support disposition or reinvestment timing decisions
  • Analyze data and identify trends and key findings in quantitative and qualitative data sets from the company’s internal Enterprise Data Warehouse, Yardi, Salesforce, Tableau, and other systems
  • Support automation of reporting across internal software platforms and maintain financial and operational reporting dashboards and data visualizations
  • Identify opportunities to design new and/or refine existing analyses and processes to improve the Asset Management team’s productivity, accuracy, and efficiency over time
  • Utilize generative AI tools to accelerate data synthesis, reporting, and research tasks where appropriate
Financial Analysis & Portfolio Management
  • Review, analyze, and recommend properties for disposition using hold/sell analysis frameworks including IRR, cap rate benchmarking, and market comparable methodologies; present recommendations to investment leadership for portfolio rebalancing decisions
  • Support and enhance financial modeling and forecasting processes, including annual budget preparation in coordination with corporate departments
  • Provide financial guidance to investment management leadership through preparation, review, and analysis of key financial metrics including NOI per asset, occupancy rates, rent growth, and return on capital
  • Support ad-hoc analyses and projects as directed
Education and/or Experience
  • Bachelor’s degree in finance, real estate, business, AI, economics, or a related field required; advanced degree (MS, MBA) is a plus
  • 1-3 years of experience in financial/data analysis, investment analysis, institutional real estate, or SFR/BTR residential acquisitions or asset management is preferred; exceptional recent college graduates will be considered
  • Prior experience in single-family rental, build-to-rent, or institutional residential real estate strongly preferred; familiarity with SFR market dynamics, per-home economics, and asset lifecycle management is a meaningful differentiator
  • Financial modeling, business analytics, and/or other real estate experience required
  • Working proficiency in Python, R, or SQL expected; advanced data science methods (regression, clustering, predictive modeling) are a strong plus
  • Experience with data visualization in Tableau or Power BI preferred
  • Comfort working with AI and machine learning outputs in a real estate or analytical context; experience with generative AI tools for reporting or data synthesis is a plus
Required Licenses or Certifications
  • Current driver’s license and automobile insurance
Skills / Specialized Knowledge
Technical & Analytical
  • Proficiency with Microsoft Office applications (Excel, PowerPoint, Word, Outlook) including advanced Excel skills (pivot tables, complex formulas, financial modeling) required; VBA a plus
  • Working proficiency in Python or SQL for data querying, manipulation, and analysis; ability to build or maintain analytical models in a scripting environment
  • Experience with BI and visualization platforms (Tableau, Power BI, or equivalent); ability to build and maintain executive-ready dashboards
  • Comfort interpreting automated valuation models, predictive maintenance schedules, or rent growth forecasts
  • Familiarity with real estate and SFR-specific data platforms (Yardi, Salesforce, CoStar, JBREC, or similar) and cloud data environments (Snowflake, Databricks, or equivalent) preferred
Real Estate & Business Acumen
  • Understanding of SFR and institutional residential real estate fundamentals: cap rates, NOI, IRR, hold/sell analysis, disposition strategy, and asset lifecycle management
  • Comfort with basic finance and accounting theory with the ability to read and comprehend financial statements
  • Ability to translate complex data and financial analyses into clear, actionable recommendations for leadership
Professional & Interpersonal
  • Self-starter with a strong sense of ownership and accountability; comfortable operating autonomously in a fast-paced, dynamic environment
  • Well-developed written and verbal communication skills with excellent interpersonal and organizational skills
  • Ability to multi-task, maintain flexibility, set and meet goals, and consistently meet deadlines
  • Ability to maintain confidentiality of sensitive business information
Other Requirements
  • Some travel may be required to support field market visits and program reviews
  • Ability to be at work on a regular and consistent basis; overtime may be required
  • Authorization to work in the United States
Physical and Mental Demands
This position will spend long hours sitting and using office equipment and computers. The position may also entail light lifting of supplies and materials occasionally, up to and including 20 pounds in addition to reaching, stooping, standing, and walking. This position requires the ability to talk, hear, compare, compute, compile, copy, analyze, coordinate, synthesize, negotiate, and communicate. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential job functions.
Work Environment
Standard office working environment that may be busy and noisy at times. Remote work option may be available.Salary RangeThe salary range for this position is: $66,525.00 - $115,310.00, plus individuals may be eligible for an annual discretionary bonus. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications, location, and applicable employment laws.Compensation and Benefits

To attract and retain top talent, we're pleased to offer competitive compensation and benefits, including:

  • Annual bonus program

  • Health, dental, vision, and life insurance

  • Long-term and short-term disability insurance

  • Generous paid time off plans include vacation accrual, sick time, standard holidays and floating holidays

  • 401(k) with company matching contributions

  • Awesome work environment with casual dress

  • Team events and gatherings (Pre- and Post-Covid)

Invitation Homes is an equal opportunity employer committed to fostering a diverse, inclusive and innovative environment with the best associates. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, Veteran status or any other factor protected by applicable federal, state or local law. If you have a disability or special need that requires accommodation, please contact us at humanresources@invitationhomes.com.

To all recruitment agencies: Invitation Homes does not accept agency resumes.  Please do not forward resumes to Invitation Homes employees.  Invitation Homes is not responsible for any fees related to unsolicited resumes. 

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