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Forecasting Jobs in Arizona (NOW HIRING)

Collaborate with senior analysts to interpret data and refine forecasting assumptions * Translate complex findings into clear insights and recommendations for leadership * Contribute to strategic ...

The Financial Analyst plays a key role in supporting enterprisewide financial planning, forecasting, reporting, and analysis. This position partners closely with business leaders and finance ...

Own the endtoend WFM lifecycle (forecasting, staffing, agent performance reporting, scheduling) for a highvolume, multiskill financial services contact center. * Ensure WFM strategies support client ...

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Forecasting information

See Arizona salary details

$11

$33

$54

How much do forecasting jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for forecasting in Arizona is $33.64, according to ZipRecruiter salary data. Most workers in this role earn between $24.66 and $44.38 per hour, depending on experience, location, and employer.

What is forecasting in a job?

Forecasting in a job involves predicting future trends, demand, or performance based on data analysis and statistical methods. It is commonly used in roles such as financial analysts, sales planners, and supply chain managers to inform decision-making and strategic planning.

What jobs pay $500,000 a year in the US?

In the field of forecasting, senior roles such as Chief Forecasting Officer or senior quantitative analysts in finance and investment firms can reach or exceed $500,000 annually, especially with bonuses and profit sharing. High-level executives in related industries like finance, investment banking, or management consulting also often earn this level of compensation, typically requiring extensive experience, advanced degrees, and specialized skills in data analysis and predictive modeling.

What jobs pay $250 an hour?

In forecasting, highly experienced professionals such as senior financial analysts, quantitative analysts, or specialized consultants can command hourly rates around $250 or more, especially when working independently or on high-stakes projects. These roles often require advanced skills in data analysis, statistical modeling, and industry-specific knowledge, and may involve consulting or contract work outside traditional employment structures.

What is a Forecasting job?

A Forecasting job involves analyzing historical data and market trends to predict future outcomes, such as sales, demand, or financial performance. Professionals in this field use statistical models, data analytics, and business insights to create accurate forecasts that help organizations make informed decisions. Forecasting roles are common in industries like finance, supply chain management, and marketing, where predicting future trends is crucial for strategic planning and resource allocation.

What are the key skills and qualifications needed to thrive in the Forecasting position, and why are they important?

To thrive in a Forecasting role, you need strong analytical skills, proficiency in quantitative methods, and often a degree in statistics, mathematics, economics, or a related field. Experience with forecasting software, statistical tools such as R or Python, and familiarity with database management systems are typically required. Outstanding attention to detail, problem-solving abilities, and effective communication skills help you translate data-driven insights to diverse stakeholders. These competencies ensure accurate predictions, informed business decisions, and effective collaboration across teams.

Is forecasting a good career?

Forecasting is a valuable career that involves analyzing data and trends to predict future outcomes, often requiring skills in statistics, data analysis, and software tools like Excel or specialized forecasting software. It is commonly found in industries such as finance, supply chain, and economics, offering opportunities for growth and specialization. Success in this field depends on analytical ability, attention to detail, and continuous learning of industry-specific knowledge.

What are the typical responsibilities in a Forecasting position?

Forecasting professionals are responsible for analyzing historical data, identifying trends, and creating models to predict future business outcomes such as sales, demand, or inventory needs. This often involves working closely with cross-functional teams like finance, operations, and marketing to gather relevant data and validate assumptions. In addition to generating regular reports and forecasts, you may be tasked with adjusting models based on new information or changes in business strategy. Collaboration and clear communication are essential, as your insights often inform key decision-making processes.

What are the most commonly searched types of Forecasting jobs in Arizona? The most popular types of Forecasting jobs in Arizona are:
What cities in Arizona are hiring for Forecasting jobs? Cities in Arizona with the most Forecasting job openings:
Infographic showing various Forecasting job openings in Arizona as of July 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $69,976 per year, or $33.6 per hour.
Senior Travel Demand Modeling/Forecasting Specialist

Senior Travel Demand Modeling/Forecasting Specialist

Fehr & Peers

Phoenix, AZ

$130K - $190K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Job description

Join Fehr & Peers and help shape the future of transportation through innovative travel behavior analysis, forecasting, and Big Data. We are seeking an experienced Senior Travel Behavior & Demand Forecasting Specialist who is passionate about solving complex challenges and creating data driven transportation solutions for communities across the United States.

At Fehr & Peers, you'll work alongside travel behavior forecasting experts in a collaborative, entrepreneurial environment where creativity, technical excellence, and innovation are highly valued. Our team combines advanced travel demand modeling, statistical analysis, and Big Data to answer critical planning and policy questions.

We are known for applying thoughtful, robust, and practical approaches that produce intuitive and actionable insights for our clients. We partner with MPOs, municipalities, transit agencies, private and institutional developers, technology firms, and civil engineering companies to tackle some of the industry's most complex transportation challenges. From special event planning and evacuation analysis to climate resilience and long-range forecasting, our work directly influences transportation investments and community outcomes nationwide.

Successful candidates will have experience developing and implementing travel demand, statistical, and data driven forecasting models to analyze multimodal transportation systems and emerging mobility trends. They should be comfortable working with traditional modeling tools as well as Big Data platforms and methods and enjoy exploring innovative approaches to improve forecasting accuracy and decision making.

In this role, you will serve as a trusted technical advisor to project managers and clients alike. You'll contribute expertise across a wide range of projects, lead key modeling and analytical tasks to deliver tailored forecasting solutions that help communities plan for a rapidly evolving transportation future.

Responsibilities
  • Manage task delivery as the subject matter expert, overseeing staff, deliverables, budget, and schedule for modeling and forecasting tasks 
  • Think both critically and intuitively through the progression of projects to clearly understand the results and identify insights as to how they are important to the big picture in each unique project 
  • Develop high-quality relationships with staff, clients, and modeling software vendors
  • Mentor and grow the skills of modeling/forecasting staff through projects and trainings 
  • Conceptualize and deliver approaches to analyzing complex transportation planning or engineering problems dealing with all travel modes 
  • Apply knowledge of the theory, principles, and practices of transportation planning, travel demand forecasting, travel behavior analysis, and data analysis 
  • Maintain a highly functional understanding of transportation forecasting software programs, such as CUBE, Emme, TransCAD, and Visum, and skills to apply these programs on projects, train others, and contribute to companywide knowledge base 
  • Use statistical and data science software such as Python and R to collate, clean, and analyze large data sets
  • Use a variety of other software programs to help visualize results for audiences at varying levels of technical complexity 
  • Participate in travel forecasting research through our Forecasting discipline group 
  • Prepare papers and presentations for technical conferences
  • Support marketing efforts through preparation of scopes, cost proposals and participation in intelligence gathering activities
Qualifications
  • 7-10+ years of professional work experience in travel demand modeling and travel behavior forecasting (CUBE and TransCAD strongly preferred)
  • Direct experience with regional models is highly desirable (SCAG, SANDAG, OCTA, SACOG, MTC, WFRC)
  • Master's or bachelor's degree in transportation, civil engineering, or related major 
  • Ability to communicate clearly and concisely, with strong writing, verbal, non-verbal, and presentation skills 
  • Ability to delegate work, manage small teams and oversee budgets 
  • Experience with the development and application of four-step travel demand models, tour-based models, and activity-based models including knowledge of basic statistical concepts and data analysis techniques 
  • Experience with big data for transportation analysis (Replica and StreetLight preferred)
  • Comfort with working beyond the model: understanding limitations, applying the big picture, and generating innovative ideas 
  • Ability to translate the results of complex analysis to clients in appealing and intuitive ways 
  • Computer and database programming and scripting skills (Python, C++, R, VBA, Access, or similar) and proficiency with GIS 
  • Interest in experimenting with and deploying AI tools to expand the effectiveness, efficiency, and/or creativity of our travel modeling practice 
$130,000 - $190,000 a year
Placement within the stated pay range will be determined based upon education, location, experience, and qualifications.
Benefit Highlights:
Medical, Dental, Vision, Life and Disability Insurance.
401(k) Plan with matching and profit sharing.
Flexible Spending Accounts.
Commuter Benefits.
Paid Vacation, holidays and sick leave.
8 weeks of Paid Parental Leave.
Mentoring and Career Development programs.
Research and Development group participation, and more.
 
Full information about the benefits we offer can be found by visiting our careers page.
 
EEO: Fehr & Peers is an Equal Opportunity Employer committed to providing a workplace free from discrimination and harassment. We recruit, hire, develop, and promote employees based on qualifications, merit, and business needs. We do not discriminate against applicants or employees on the basis of race, color, religion, creed, sex, gender identity or expression, sexual orientation, national origin, ancestry, citizenship, age, disability, genetic information, veteran or military status, marital status, or any other characteristic protected by applicable federal, state, or local law.

We value the unique experiences, perspectives, and contributions of our employees and are committed to creating an environment where everyone can thrive.

Nondiscrimination: Fehr & Peers ensures nondiscrimination in all programs and activities in accordance with Title VI of the Civil Rights Act of 1964. If you need more information or special assistance for persons with disabilities or limited English proficiency, contact Human Resources.
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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