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Predictive Analytics Jobs in Austin, TX (NOW HIRING)

Ra

Customer Analytic Manager

Austin, TX

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 ...

Jobtailor

AI Data Scientist - Enterprise AI

Austin, TX · On-site

$140 - $190/hr

Analyze large-scale structured and semi-structured datasets to generate insights and build predictive models * Translate business requirements into technical approaches and communicate AI concepts to ...

Phase2 Technology

Data Science Analyst II

Austin, TX · On-site

$72 - $88/hr

Requires a Master's Degree in Data Science, Engineering, Statistics, Computer Science, or related field with at least 3 years of experience in data science, machine learning, or predictive analytics.

Charles Schwab Inc.

Senior Kafka SRE Engineer

Austin, TX · On-site

$120K - $155K/yr

Through the application of automation, predictive analytics, and AI-driven operational insights, you will help reduce operational toil, strengthen platform resiliency, improve incident response, and ...

Charles Schwab

Senior Kafka SRE Engineer

Austin, TX · On-site

$56.50 - $75/hr

Through the application of automation, predictive analytics, and AI-driven operational insights, you will help reduce operational toil, strengthen platform resiliency, improve incident response, and ...

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Predictive Analytics information

See Austin, TX salary details

$26.8K

$111.7K

$198.7K

How much do predictive analytics jobs pay per year?

As of Aug 30, 2026, the average yearly pay for predictive analytics in Austin, TX is $111,731.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,800.00 and $121,900.00 per year, depending on experience, location, and employer.

What is predictive analytics?

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 the key skills and qualifications needed to thrive in predictive analytics?

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 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 degree do I need for predictive analytics?

Predictive analytics roles typically require at least a bachelor's degree in fields such as statistics, data science, computer science, or mathematics. Advanced positions may prefer or require a master's degree or higher, along with skills in programming languages like Python or R and experience with data analysis tools.

What is a predictive analytics job description?

A predictive analytics job involves analyzing data to identify patterns and develop models that forecast future outcomes. Professionals in this role use statistical techniques, machine learning tools, and programming languages like Python or R to support data-driven decision-making within organizations.

What jobs use predictive analytics?

Predictive analytics is used in a variety of roles such as data analyst, data scientist, business analyst, and risk analyst. These jobs involve analyzing data to forecast trends, improve decision-making, and optimize processes, often requiring skills in statistical modeling, machine learning, and tools like Python or R.

What are the most commonly searched types of Predictive Analytics jobs in Austin, TX?

The most popular types of Predictive Analytics jobs in Austin, TX are:

What are popular job titles related to Predictive Analytics jobs in Austin, TX?

For Predictive Analytics jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Predictive Analytics jobs in Austin, TX look for?

The top searched job categories for Predictive Analytics jobs in Austin, TX are:

What cities near Austin, TX are hiring for Predictive Analytics jobs?

Cities near Austin, TX with the most Predictive Analytics job openings:

Predictive Analytics jobs near you
Infographic showing various Predictive Analytics job openings in Austin, TX as of August 2026, with employment types broken down into 1% Internship, 90% Full Time, 6% Part Time, and 3% Contract. Highlights an 77% Physical, 7% Hybrid, and 16% Remote job distribution, with an average salary of $111,731 per year, or $53.7 per hour.

SalesOps & Business Analytics Specialist - Remote

YO AI Labs

Austin, TX • Remote

$100 - $140/hr

Full-time

Posted 3 days ago

New

Job description

Sales Ops & Business Analytics Specialist

Job Type: Full-time
Location: Remote

Job Summary

We are seeking a Sales Operations & Business Analytics Specialist to improve CRM operations, pipeline visibility, forecasting, and business reporting. The role focuses on turning sales data into actionable insights and scalable processes.

Key Responsibilities
  • Manage and optimize CRM operations, data quality, workflows, and reporting.
  • Monitor sales pipelines and support forecasting.
  • Build dashboards and analyze sales performance, conversion, and quota attainment.
  • Develop forecasting models using historical and predictive data.
  • Support sales tools, processes, and CRM improvements.
  • Provide data-driven recommendations to leadership and cross-functional teams.
  • Conduct ad hoc analysis for KPIs, incentives, lead generation, and business operations.
Requirements
  • 2–4+ years in Sales Operations, Revenue Operations, Business Analytics, or related roles.
  • Experience with CRM platforms; HubSpot preferred.
  • Strong Excel/Google Sheets skills.
  • Experience with SQL and/or BI tools such as Tableau, Looker, or Power BI.
  • Knowledge of forecasting, data modeling, and sales analytics.
  • Strong communication, analytical, and problem-solving skills.
Preferred
  • Advanced HubSpot proficiency/certification.
  • Experience with predictive analytics, forecasting, quotas, incentives, or KPI analysis.
  • Cross-functional analytics experience.