1

Predictive Modeler Jobs in Houston, TX (NOW HIRING)

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Deep knowledge of descriptive analytics, predictive modeling, prescriptive analytics, data visualization, regression analysis, decision trees, optimization, simulation, database querying, and data ...

Senior Data Analyst

Katy, TX · On-site

$90K - $100K/yr

Position Summary The Senior Data Analyst will serve as a strategic business partner to executive leadership by designing dashboards, identifying trends, building predictive models, automating ...

... inform predictive modeling efforts - Confirming data integrity and security within analytics frameworks - Applying statistical modeling and machine learning techniques to enhance data analysis ...

Position Summary The Senior Data Analyst will serve as a strategic business partner to executive leadership by designing dashboards, identifying trends, building predictive models, automating ...

Senior Data Analyst

Katy, TX · On-site

$78K - $99K/yr

... predictive models, automating reporting, and providing recommendations that improve operational performance and profitability. This individual will work closely with our CEO, President, CFO, VP of ...

Develop predictive models for compliance risk scoring, regulatory change impact, anomaly detection, and time-series forecasting * Write production-quality Python code for data processing, feature ...

... predictive models that surface actionable insights across freight, inventory, and supplier performance domains. Key Responsibilities: • Ingest, profile, and validate large-scale supply chain ...

Delivery model outputs, predictive findings, and analytical baseline results in structured, consumable formats - including summary tables, annotated datasets, and visualization-ready data packages ...

Delivery model outputs, predictive findings, and analytical baseline results in structured, consumable formats - including summary tables, annotated datasets, and visualization-ready data packages ...

Showing results 21-40

Predictive Modeler information

See Houston, TX salary details

$9

$56

$79

How much do predictive modeler jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for predictive modeler in Houston, TX is $56.07, according to ZipRecruiter salary data. Most workers in this role earn between $50.29 and $65.19 per hour, depending on experience, location, and employer.

How does a predictive modeler typically collaborate with data scientists and business stakeholders during a project?

Predictive Modelers work closely with data scientists to ensure that models are statistically sound and meet technical requirements, often sharing insights on data preprocessing and feature engineering. They also collaborate with business stakeholders to understand project goals, translate business problems into analytical tasks, and explain model outcomes in accessible terms. Regular communication and feedback loops help ensure that the developed models align with business objectives and deliver actionable insights. This collaborative approach is essential for successful project delivery and for ensuring that predictive solutions provide real value.

What is a predictive modeler?

Predictive modelers are professionals who use statistical techniques, machine learning, and data analysis to develop models that forecast future outcomes based on historical data. They work in various industries, such as finance, healthcare, and marketing, to help organizations make data-driven decisions and anticipate trends or risks. Predictive modelers typically use tools like Python, R, or specialized software, and their work can involve data cleaning, selecting appropriate algorithms, and validating model performance. Their insights help businesses optimize processes, reduce costs, and improve customer satisfaction.

What is the difference between Predictive Modeler vs Data Analyst?

AspectPredictive ModelerData Analyst
Required CredentialsBachelor's or Master's in Statistics, Data Science, or related fields; often certifications in modeling or analyticsBachelor's in Statistics, Data Analysis, or related fields; certifications in data visualization or analysis tools
Work EnvironmentData science teams, analytics departments, often in tech, finance, or healthcare industriesBusiness units, marketing, finance, or operations teams across various industries
Employer & Industry UsageUsed for building predictive models to forecast trends and behaviorsUsed for interpreting data, generating reports, and providing insights

While both roles analyze data, Predictive Modelers focus on creating models to forecast future outcomes, whereas Data Analysts interpret existing data to inform decisions. Predictive Modelers typically require advanced statistical skills and modeling expertise, making their role more specialized in predictive analytics.

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

To thrive as a Predictive Modeler, you need a strong background in statistics, mathematics, and data analysis, often supported by a degree in a quantitative field such as statistics, mathematics, or computer science. Familiarity with programming languages like Python or R, experience with machine learning frameworks, and knowledge of data visualization tools are typically required. Analytical thinking, problem-solving, and effective communication are standout soft skills for translating complex data into actionable insights. These skills and qualities are crucial for building accurate models that drive informed business decisions and add strategic value.
Infographic showing various Predictive Modeler job openings in Houston, TX as of August 2026, with employment types broken down into 95% Full Time, 2% Part Time, 2% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $116,624 per year, or $56.1 per hour.

HR Analytics & Workforce Intelligence Manager

RelaDyne

Houston, TX • On-site

Full-time

Re-posted 21 days ago


RelaDyne rating

7.2

Company rating: 7.2 out of 10

Based on 19 frontline employees who took The Breakroom Quiz


Job description

RelaDyne is the nation's leading automotive, industrial, and commercial lubricants provider and a trusted partner for reliability services. We're more than just a distributor; we're a team dedicated to innovation, service excellence, and lasting customer relationships.

Location: Houston, TX

We are seeking an experienced HR Analytics & Workforce Intelligence Manager to lead the development and delivery of workforce analytics, reporting, dashboards, and insights that support strategic business decisions. This role serves as the primary owner of HR analytics and workforce intelligence, partnering with Human Resources, Payroll, Compensation, Benefits, Talent Acquisition, Operations, Finance, and Executive Leadership.

What You'll Do

  • Lead the development of enterprise-wide HR analytics, reporting solutions, dashboards, and workforce intelligence tools.
  • Create executive-level workforce reports, scorecards, and presentations to support leadership decision-making.
  • Analyze workforce trends and provide insights related to headcount, turnover, retention, recruiting, compensation, labor costs, and workforce planning.
  • Develop and maintain automated dashboards and reporting solutions using tools such as Power BI, Excel, Power Query, Power Pivot, and Power Automate.
  • Build self-service reporting tools that enable leaders to access meaningful workforce insights.
  • Develop analytics and predictive models to support workforce planning, retention strategies, recruiting effectiveness, and talent decisions.
  • Partner with HR, Payroll, Finance, Talent Acquisition, and Operations teams to identify business needs and deliver data-driven solutions.
  • Ensure HR data accuracy through reporting standards, data validation processes, governance practices, and documentation.
  • Identify trends, patterns, and opportunities within workforce data and provide recommendations to improve business outcomes.
  • Support workforce planning, budgeting, forecasting, and labor cost analysis initiatives.

What We're Looking For

  • Bachelor's degree in Human Resources, Business Analytics, Statistics, Data Science, Information Systems, Finance, or related field.
  • 5+ years of experience in HR analytics, workforce analytics, HRIS reporting, business intelligence, or a related analytical role.
  • Proven experience developing executive-level dashboards and analytics solutions.
  • Advanced proficiency in Microsoft Excel and experience with data visualization tools.
  • Hands-on experience with Power BI, Power Query, Power Pivot, SQL, and Microsoft Power Automate.
  • Strong understanding of data modeling, reporting structures, and analytics methodologies.
  • Ability to analyze complex datasets, identify trends, and translate findings into actionable business recommendations.
  • Strong problem-solving skills with a focus on data integrity, accuracy, and continuous improvement.
  • Excellent communication skills with the ability to present insights to both technical and non-technical audiences.

Preferred Qualifications

  • Experience with ADP Workforce Now or similar HRIS platforms.
  • Experience supporting multi-state, hourly workforces.
  • Experience in transportation, logistics, distribution, manufacturing, energy, or industrial services environments.
  • Experience with predictive analytics, workforce modeling, and labor forecasting.
  • SHRM-CP, SHRM-SCP, PHR, SPHR, or analytics-related certifications.

AtRelaDyne,you'llfind more than just a job-you'lldiscover a career with a company that valuespeople, teamwork, and growth.Apply today and join the team driving the future of reliability.

Know Your Rights: Workplace Discrimination is Illegal- (click for more information)

Equal Opportunity Employer/Disability/Veterans

RelaDyne, and its affiliates, is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, ethnicity, sex, age, gender identity, sexual orientation or identity, genetic information, status as a protected veteran, status as a qualified individual with disability, or any other protected class status.

Knowledge, Skills and Abilities

Required:

  • Bachelor's degree in human resources, Business Analytics, Statistics, Data Science, Information Systems, Finance, or related field.
  • 5+ years of experience in HR analytics, workforce analytics, HRIS reporting, business intelligence, or related analytical roles.
  • Experience creating executive-level dashboards and analytics.
  • Experience working with enterprise HR systems.
  • Microsoft Excel (Expert)
  • Experience with Power BI, Power Query, Power Pivot, SQL, and Microsoft Power Automate for advanced analytics
  • Strong knowledge of data visualization techniques and statistical analysis
  • Ability to identify trends and patterns in large datasets
  • Advanced workforce analytics experience
  • Predictive modeling capabilities
  • Business intelligence reporting expertise
  • Root cause analysis experience

Preferred:

  • Experience with ADP Workforce Now.
  • Experience in transportation, logistics, distribution, manufacturing, energy, or industrial services environments.
  • SHRM-CP, SHRM-SCP, PHR, SPHR, or analytics-related certifications.
  • Experience supporting multi-state, hourly workforce environments.

What RelaDyne employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom