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Predictive Analyst Jobs (NOW HIRING)

NYULMC

Predictive Analytics Analyst

New York, NY · On-site

... Analyst. In this role, the successful candidate is responsible for leveraging advanced statistical ... This role designs and develops predictive models (e.g., for performance, turnover, and hiring ...

MeridianLink

Predictive Analytics Consultant

$69K - $110K/yr

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, Risk Scoring, and ...

Takeda

Associate Director, Predictive Analytics

Cambridge, MA · On-site

$64K - $65K/yr

Advanced Predictive Analytics for US. GI Franchise including new product launches or indications. * Partner with BUs, BU Analytics & Insights, Marketing and Sales Ops, Data CoEs etc.to define use ...

McKesson

Data Scientist - Predictive Analytics

Columbus, OH · On-site +1

$108K - $181K/yr

Analyze large, complex datasets to improve forecasting accuracy and operational planning * Develop, maintain, and enhance statistical and predictive models for volume and contact center forecasting

McKesson

Data Scientist - Predictive Analytics

Columbus, OH · On-site +1

$108K - $181K/yr

Analyze large, complex datasets to improve forecasting accuracy and operational planning * Develop, maintain, and enhance statistical and predictive models for volume and contact center forecasting

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How much do predictive analyst jobs pay per hour?

As of Jul 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 does a predictive analyst do?

A predictive analyst uses statistical models and data analysis techniques to forecast future trends and behaviors based on historical data. They often work with tools like Python, R, or SQL and interpret data to support decision-making in various business areas. Strong analytical skills and knowledge of machine learning are essential for this role.

Is 40 too late for data science?

Predictive analysts and data scientists can successfully enter the field at age 40 or older, as experience, analytical skills, and continuous learning are highly valued. Many professionals transition into data science later in their careers by acquiring relevant skills such as programming, statistics, and tools like Python or R, often through online courses or certifications.

What are the key skills and qualifications needed to thrive as a Predictive Analyst, and why are they important?

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.

Which 3 jobs will survive AI?

Predictive analysts are likely to continue thriving as their role involves interpreting complex data and developing models that require human judgment and domain expertise. Jobs that involve creative thinking, emotional intelligence, and strategic decision-making, such as healthcare professionals, educators, and managers, are also expected to persist despite AI advancements. These roles often require skills that are difficult for AI to replicate fully.

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 jobs make $1,000,000 a year?

Predictive analysts typically do not earn $1,000,000 annually; such high salaries are usually associated with top executives, successful entrepreneurs, hedge fund managers, or highly specialized roles in finance and technology. Achieving this level often requires extensive experience, advanced skills, and significant performance-based bonuses or equity. Most roles in data analysis and related fields have lower salary ranges, with top-tier positions in certain industries reaching high seven figures or more.

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.

More about Predictive Analyst jobs
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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 July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $95,616 per year, or $46 per hour.
Analyst, Predictive Maintenance

Analyst, Predictive Maintenance

Enterprise Products

Houston, TX • On-site

$65K - $84K/yr

Full-time

Posted yesterday

Enterprise Products rating

9.3

Company rating: 9.3 out of 10

Based on 36 frontline employees who took The Breakroom Quiz

1st of 50 rated energy and utility

Job description

Description
Enterprise Products Partners L.P. is one of the largest publicly traded partnerships and a leading North American provider of midstream energy services to producers and consumers of natural gas, NGLs, crude oil, refined products and petrochemicals. Our services include natural gas gathering, treating, processing, transportation and storage; NGL transportation, fractionation, storage and import and export terminals; crude oil gathering, transportation, storage and terminals; petrochemical and refined products transportation, storage and terminals; and a marine transportation business that operates primarily on the United States inland and Intracoastal Waterway systems. The partnership's assets include approximately 50,000 miles of pipelines; 260 million barrels of storage capacity for NGLs, crude oil, refined products and petrochemicals; and 14 billion cubic feet of natural gas storage capacity.
The Predictive Maintenance Analyst is responsible for monitoring and diagnosing equipment performance using advanced predictive analytics software. This role supports operational reliability by identifying emerging equipment issues before failure, triaging anomalies, and engaging subject matter experts across corporate and field teams to resolve reliability concerns. This position offers a unique opportunity to apply analytical and collaboration skills within a complex midstream oil and gas environment, directly contributing to improved equipment uptime, reliability, and performance.
Responsibilities include, but are not limited to:
  • Monitor and analyze plant equipment performance using predictive analytics platforms such as Seeq, GE Vernova, and Aspen Mtell.
  • Identify and diagnose anomalies, trends, and patterns in operational data to assess equipment health.
  • Evaluate and triage predictive alerts, documenting probable causes, severity, and recommended next steps.
  • Communicate and collaborate with corporate and field subject matter experts (SMEs) and field operations personnel to address identified reliability ussies.
  • Develop and maintain dashboards and reports to track equipment condition trends and predictive analytics performance.
  • Contribute to the continuous improvement of predictive maintenance methodologies, data quality, and anomaly detection strategies.
  • Support digital transformation initiatives by integrating predictive maintenance insights into reliability and operational workflows.
  • Ensure consistent documentation and communication of predictive findings to enhance organizational learning and asset reliability.

Qualifications
The successful candidate will meet the following qualifications:
  • 5-10 years of experience in equipment condition monitoring, reliability, or predictive maintenance within oil & gas or similar heavy industrial environments.
  • Strong knowledge of rotating equipment such as centrifugal and reciprocating compressors, pumps, internal combustion engines, gas turbines, and motors.
  • Working knowledge of process and instrumentation systems and how they relate to equipment performance.
  • Hands-on experience with predictive analytics or asset performance monitoring software (Seeq, GE Vernova, Aspen Mtell preferred).
  • Analytical mindset with the ability to translate data trends into actionable reliability insights.
  • Excellent communication and documentation skills; able to engage with both technical and operational stakeholders.
  • Knowledge of plant operations and maintenance.
  • Mechanical, process controls, or technical education background preferred. (degree not required).
  • Preferred certifications:
    • Certified Maintenance & Reliability Professional (CMRP)
    • Vibration Analysis (ISO 18436-2 Category 1 or higher)
    • Certified Reliability Analyst or Predictive Maintenance Specialist
    • Other relevant condition monitoring or reliability-based credentials

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