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Predictive Analytics Jobs in Texas (NOW HIRING)

Ra

Customer Analytic Manager

San Antonio, TX · On-site

Who holds 2+ years of experience Customer Analytics delivery Who holds 2+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications Who ...

Ra

Customer Analytic Manager

Houston, TX · On-site

Who holds 2+ years of experience Customer Analytics delivery Who holds 2+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications Who ...

Ra

Customer Analytic Manager

Austin, TX · On-site

Who holds 2+ years of experience Customer Analytics delivery Who holds 2+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications Who ...

Ra

Customer Analytic Manager

Dallas, TX · On-site

Who holds 2+ years of experience Customer Analytics delivery Who holds 2+ years of experience in CRM Modeling, Reporting, Analytics who is experienced in predictive analytics tools Qualifications Who ...

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Predictive Analytics information

See Texas salary details

$25.2K

$105K

$186.8K

How much do predictive analytics jobs pay per year?

As of Jun 9, 2026, the average yearly pay for predictive analytics in Texas is $105,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,800.00 and $114,600.00 per year, depending on experience, location, and employer.

What is a Predictive Analytics job?

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

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 the most commonly searched types of Predictive Analytics jobs in Texas? The most popular types of Predictive Analytics jobs in Texas are:
What are popular job titles related to Predictive Analytics jobs in Texas? For Predictive Analytics jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Predictive Analytics jobs in Texas look for? The top searched job categories for Predictive Analytics jobs in Texas are:
What cities in Texas are hiring for Predictive Analytics jobs? Cities in Texas with the most Predictive Analytics job openings:
Predictive Analytics jobs near you
Infographic showing various Predictive Analytics job openings in Texas as of May 2026, with employment types broken down into 6% Internship, and 94% Full Time. Highlights an 86% In-person, and 14% Hybrid job distribution, with an average salary of $105,018 per year, or $50.5 per hour.
Analyst, Predictive Maintenance

Analyst, Predictive Maintenance

Enterprise Products

Houston, TX • On-site

$65K - $84K/yr

Other

Posted 2 days ago

Enterprise Products rating

9.3

Company rating: 9.3 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

1st of 50 rated energy and utility

Job 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.

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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