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Predictive Analyst Jobs (NOW HIRING)

Predictive Maintenance Analyst

Columbia, SC ยท On-site

$56K - $71K/yr

Quick Role Summary We are seeking a full-time Predictive Maintenance Analyst to independently diagnose machinery issues and communicate findings in a professional manner. The ideal candidate will be ...

The Predictive Analytics Consultant will be a key member of the analytics team, responsible for leading the design and delivery of critical solutions like Automated Underwriting and Risk Scoring, and ...

Predictive Analytics Developer

Las Vegas, NV ยท On-site

$100 - $150/hr

Summary The Predictive Analytics Developer is responsible for development and oversight of automation and reporting tools within Predictive Analytics. The developer is a cross functional role that ...

New

$80 - $100/hr

Summary The Predictive Analytics Developer is responsible for development and oversight of automation and reporting tools within Predictive Analytics. The developer is a cross functional role that ...

Predictive Analytics Developer

Las Vegas, NV ยท On-site

$80K - $100K/yr

Summary The Predictive Analytics Developer is responsible for development and oversight of automation and reporting tools within Predictive Analytics. The developer is a cross functional role that ...

Predictive Analytics Developer

Las Vegas, NV ยท On-site

$80K - $100K/yr

Summary The Predictive Analytics Developer is responsible for development and oversight of automation and reporting tools within Predictive Analytics. The developer is a cross functional role that ...

Summary The Predictive Analytics Developer is responsible for development and oversight of automation and reporting tools within Predictive Analytics. The developer is a cross functional role that ...

Summary The Predictive Analytics Developer is responsible for development and oversight of automation and reporting tools within Predictive Analytics. The developer is a cross functional role that ...

Predictive Analytics Engineer

Dallas, TX ยท On-site

$110 - $160/hr

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 ...

Predictive Analytics Engineer

Dallas, TX ยท 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 ...

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Predictive Analyst information

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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.
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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.

Machine Learning Engineer / Predictive Analyst

Vaco by Highspring

Birmingham, AL โ€ข On-site

Other

Dental, Vision, Retirement

Posted 13 days ago


Key responsibilities

  • Design, build, test, and deploy machine learning and predictive analytics models using large-scale structured and unstructured datasets

  • Develop forecasting and predictive modeling solutions supporting sales, marketing, and operational business initiatives

  • Partner directly with business stakeholders to translate ambiguous business requests into actionable data solutions


Job description

Machine Learning Engineer / Predictive Analytics Consultant
Preferred Locations: Birmingham, AL or Dallas, TX 
Position Overview
We are seeking a hands-on Machine Learning Engineer / Predictive Analytics Consultant to join an established machine learning team focused on scaling predictive analytics capabilities across the business. This role will support high-impact initiatives primarily focused on sales and marketing forecasting, predictive modeling, and business intelligence transformation efforts.
The organization has already built out a mature cloud and big data environment and is now focused on increasing delivery capacity, accelerating project timelines, and expanding the teamโ€™s ability to support growing business demand. This individual will help transition the business beyond traditional dashboarding and reporting into forward-looking predictive analytics and forecasting solutions.
This is a highly collaborative but autonomous role requiring someone who can operate with minimal guidance, solve complex business problems independently, and deliver practical machine learning solutions at enterprise scale.

Key Responsibilities
  • Design, build, test, and deploy machine learning and predictive analytics models using large-scale structured and unstructured datasets
  • Develop forecasting and predictive modeling solutions supporting sales, marketing, and operational business initiatives
  • Partner directly with business stakeholders to translate ambiguous business requests into actionable data solutions
  • Perform exploratory data analysis, feature engineering, model selection, validation, tuning, and performance optimization
  • Work with existing enterprise-scale cloud and big data environments to support scalable analytics initiatives
  • Help increase team throughput by accelerating project delivery and supporting a growing backlog of analytics requests
  • Collaborate with cross-functional teams including analytics, engineering, and business leadership
  • Communicate analytical findings and model outcomes clearly to both technical and non-technical stakeholders
  • Contribute to ongoing improvements in predictive analytics processes, scalability, and operational efficiency

Required Qualifications
  • 5+ years of experience in Machine Learning, Predictive Analytics, Data Science, or related data-focused roles
  • Strong hands-on experience with:
    • Python
    • SQL
    • Spark / PySpark  (Nice to have)
    • Snowflake (Nice to have)
  • Experience building machine learning and predictive models from the ground up
  • Experience working with large-scale datasets and distributed data processing environments
  • Strong understanding of statistical analysis, forecasting, predictive modeling, and machine learning methodologies
  • Experience operating within cloud-based analytics ecosystems (AWS, Azure, or GCP)
  • Proven ability to work independently with minimal direction
  • Strong analytical thinking and problem-solving skills
  • Ability to translate business problems into scalable technical solutions

Preferred Qualifications
  • Experience supporting sales and marketing analytics initiatives
  • Experience with forecasting and business performance prediction models
  • Experience working in enterprise-scale machine learning environments
  • Exposure to Databricks or similar modern data platforms
  • Experience communicating directly with business stakeholders and leadership teams

Ideal Candidate Profile
The ideal candidate is not someone who simply executes assigned tasks. We are looking for a proactive problem solver who can independently identify opportunities, work through ambiguity, and deliver practical machine learning solutions that drive measurable business value. This individual should be comfortable operating in a fast-paced environment with evolving priorities and growing demand for predictive analytics capabilities.
Determining compensation for this role (and others) at Vaco/Highspring depends upon a wide array of factors including but not limited to the individualโ€™s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law in geographies that require salary range disclosure, Vaco/Highspring notes the salary range for the role is noted in this job posting. The individual may also be eligible for discretionary bonuses, and can participate in medical, dental, and vision benefits as well as the companyโ€™s 401(k) retirement plan. Additional disclaimer: Unless otherwise noted in the job description, the position Vaco/Highspring is filing for is occupied. Please note, however, that Vaco/Highspring is regularly asked to provide talent to other organizations. By submitting to this position, you are agreeing to be included in our talent pool for future hiring for similarly qualified positions. Submissions to this position are subject to the use of AI to perform preliminary candidate screenings, focused on ensuring minimum job requirements noted in the position are satisfied. Further assessment of candidates beyond this initial phase within Vaco/Highspring will be otherwise assessed by recruiters and hiring managers. Vaco/Highspring does not have knowledge of the tools used by its clients in making final hiring decisions and cannot opine on their use of AI products.