ZipRecruiter

Log In

1

Predictive Analyst Jobs (NOW HIRING)

Select Minds LLC

Predictive Analytics Engineer

Dallas, TX · On-site

$100K - $120K/yr

Opportunity for advancement Data Scientist / Predictive Analytics Engineer Location: Dallas, TX (Hybrid, 3 days onsite per week) Employment Type: Full-Time / Contract (W2) Duration: Long-Term Work ...

KBR, Inc.

Predictive Research Analyst

Beavercreek, OH · On-site

Predictive Research Analyst KBR is seeking a Predictive Research Analyst for mission-level combat modeling to join our team at Wright Paterson AFB, Dayton Ohio an active Top Secret clearance is ...

previous pagenext page

Showing results 21-40

All JobsTechnology JobsData JobsData Scientist JobsPredictive Analyst Jobs

Predictive Analyst information

See salary details

$13

$45

$80

How much do predictive analyst jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for predictive analyst in the United States is $45.97, according to ZipRecruiter salary data. Most workers in this role earn between $30.29 and $58.65 per hour, depending on experience, location, and employer.

What is a predictive analyst?

A Predictive Analyst is a professional who uses data analysis, statistical techniques, and machine learning models to forecast future outcomes and trends for a business or organization. They collect and interpret large sets of data to identify patterns and make predictions that help guide strategic decisions. Predictive Analysts often work with various software tools and collaborate with other departments to improve business performance and anticipate future challenges or opportunities.

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

To thrive as a Predictive Analyst, you need a strong background in statistics, data analysis, and a relevant degree such as mathematics, computer science, or economics. Proficiency with data analytics tools like Python, R, SQL, and machine learning platforms, as well as familiarity with data visualization software, is typically required. Strong problem-solving abilities, critical thinking, and effective communication skills help you translate complex data findings into actionable business insights. These skills and qualifications are essential for delivering accurate forecasts that drive strategic decision-making and business growth.

How does a predictive analyst typically collaborate with other teams within an organization?

Predictive Analysts often work closely with cross-functional teams such as marketing, product management, and IT. They translate complex data findings into actionable insights for business decision-makers, requiring strong communication skills and the ability to present data visually. Collaboration may involve regular meetings to define project goals, share progress, and refine predictive models based on team feedback. This interdepartmental cooperation ensures that analytics align with overall business strategies and deliver measurable value.

What is the difference between Predictive Analyst vs Data Analyst?

AspectPredictive AnalystData Analyst
Required CredentialsBachelor's in Statistics, Data Science, or related field; often certifications in predictive modelingBachelor's in Data Analysis, Statistics, or related field; certifications in data visualization or analysis tools
Work EnvironmentAnalytical teams, data science departments, often in tech, finance, or healthcareBusiness units, reporting teams, across various industries
Employer & Industry UsageUsed in industries requiring forecasting and predictive modeling, like finance, marketing, healthcareUsed broadly for data reporting, visualization, and descriptive analysis across industries

Predictive Analysts focus on building models to forecast future trends using statistical and machine learning techniques, while Data Analysts primarily interpret existing data to generate reports and insights. Both roles require strong analytical skills, but Predictive Analysts typically have more specialized training in predictive modeling and data science tools.

How do you become a predictive analyst?

To become a predictive analyst, you typically need a bachelor's degree in fields like statistics, mathematics, or data science. Developing skills in programming languages such as Python or R, understanding machine learning techniques, and gaining experience with data analysis tools are essential. Earning certifications in data analytics or machine learning can also enhance job prospects.
More about Predictive Analyst jobs

What cities are hiring for Predictive Analyst jobs?

Cities with the most Predictive Analyst job openings:

Who are the top companies hiring for Predictive Analyst jobs?

The top employers for Predictive Analyst jobs are:

What states have the most Predictive Analyst jobs?

States with the most job openings for Predictive Analyst jobs include:

What job categories do people searching Predictive Analyst jobs look for?

The top searched job categories for Predictive Analyst jobs are:

Predictive Analyst jobs near you
Infographic showing various Predictive Analyst job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 82% Physical, 7% Hybrid, and 11% Remote job distribution, with an average salary of $95,616 per year, or $46 per hour.

Predictive Analytics Specialist

Siemens Energy, Inc.

Orlando, FL • On-site

Full-time

Medical, Retirement, PTO

Re-posted 9 days ago

Key responsibilities

  • Develop and apply data-driven and AI-based methods to analyze industrial time-series data.

  • Support the development, testing, and validation of Predictive Analytics and AI models.

  • Collaborate with domain experts and stakeholders to translate questions into analytical tasks.

Siemens Energy rating

8.3

Company rating: 8.3 out of 10

Based on 88 frontline employees who took The Breakroom Quiz

121st of 499 rated machine equipment manufacturers

Job description

A Snapshot of Your Day
As an experienced Professional member of our Digital Core organization, you contribute to the Predictive Analytics team by developing and applying data-driven and AI-based methods to support improved decision-making across the Siemens Energy value chain. You work hands-on with industrial time-series data, combining solid analytical foundations with modern AI techniques to identify patterns, anomalies, and insights in complex systems.
In close collaboration with senior experts, business stakeholders, and external partners (including academia), you support the development and deployment of analytics solutions that bridge rigorous analytical thinking with tangible business impact.
Passionate about the environment and climate change? Ready to be part of the future of the energy transition? The Siemens Energy Digital Core AI team plays a significant role in driving the energy transformation. Honestly, we don't have all the answers. Honestly, given the scale of the challenge we need many types of perspectives to help reimagine the future. And honestly, we can't do it alone.
Our team is looking for curious, analytically strong early-career data and AI experienced professionals who enjoy working at the intersection of theory and real-world industrial applications.
How You'll Make an Impact
  • Apply data analytics, statistical methods, and AI techniques to analyze complex industrial time-series data. Support the development, testing, and validation of Predictive Analytics and AI models under guidance of senior team members
  • Contribute to use cases such as anomaly detection, condition monitoring, forecasting, and root-cause analysis in operational data
  • Work with domain experts and business stakeholders to translate technical and business questions into structured analytical tasks
  • Balance academic rigor (sound methods, validation, documentation) with a strong focus on practical impact and scalability
  • Assist in documenting methodologies, results, and best practices to enable reuse across projects and teams. Collaborate with internal teams and external partners from industry and academia on analytics and AI initiatives
What You Bring
  • Master's degree in data science, computer science, physics, mathematics, engineering, or a related quantitative field; PhD is a plus
  • Strong foundation in data analytics, statistics, and machine learning. Relevant business experience or strong academic background in time-series analysis, including feature engineering using autoregressive techniques and advanced machine-learning and deep-learning approaches for real-world data.
  • 2+ years of Hands-on experience with programming languages and tools for data analysis and AI (e.g., Python, R, JavaScript and TypeScript, SQL, TensorFlow, PyTorch)
  • Ability to structure analytical problems, work with large and complex datasets, and communicate results clearly. Intellectual curiosity, motivation to learn, and ability to work effectively in a multidisciplinary, global team environment
  • Applicants must be legally authorized for employment in the United States without need for current or future employer-sponsored work authorization. Siemens Energy employees with current visa sponsorship may be eligible for internal transfers.
About the Team
The Digital Core AI organization has been established and designed to help Siemens Energy achieve its mission by leveraging powerful AI capabilities to support customers in transitioning to a more sustainable world, by using innovative technologies and bringing ideas into reality.
Who is Siemens Energy?
At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation.
Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation.
Find out how you can make a difference at Siemens Energy: [1] https://www.siemens-energy.com/employeevideo
Rewards
  • Career growth and development opportunities; supportive work culture
  • Company paid Health and wellness benefits
  • Paid Time Off and paid holidays
  • 401K savings plan with company match
  • Family building benefits
  • Parental leave
#LI-CDS
Equal Employment Opportunity Statement
Siemens Energy and Siemens Gamesa Renewable Energy is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
California Privacy Notice
California residents have the right to receive additional notices about their personal information. Click here to read more .

What Siemens Energy employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply