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Predictive Analytics Jobs in Austin, TX (NOW HIRING)

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 ...

IT BUSINESS/SYSTEMS

Austin, TX · On-site

$105K/yr

Tableau, used KPIs and performance measures Modules and workflows Data Base Management Systems, BA with R, OOPS, Data Structures, Applied ML using Python, Predictive Analytics using SAS, Advance ...

New

IT BUSINESS/SYSTEMS

Austin, TX · On-site

$105K/yr

Tableau, used KPIs and performance measures Modules and workflows Data Base Management Systems, BA with R, OOPS, Data Structures, Applied ML using Python, Predictive Analytics using SAS, Advance ...

Review inpatient referrals and prioritize patients using clinical judgment and predictive analytics tools * Collaborate with physicians and care teams to support appropriate level-of-care decisions

Review inpatient referrals and prioritize patients using clinical judgment and predictive analytics tools * Collaborate with physicians and care teams to support appropriate level-of-care decisions

Review inpatient referrals and prioritize patients using clinical judgment and predictive analytics tools * Collaborate with physicians and care teams to support appropriate level-of-care decisions

Showing results 21-40

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 16, 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 is a predictive analytics job description?

A predictive analytics job involves analyzing data to develop models that forecast future trends and behaviors. Professionals in this role use statistical techniques, machine learning tools, and programming languages like Python or R to interpret data and support decision-making. Strong analytical skills and knowledge of data management are essential for success in this field.

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 do predictive analytics do?

Predictive analytics involves analyzing historical data to identify patterns and forecast future outcomes. In a predictive analytics role, professionals use statistical models, machine learning algorithms, and data visualization tools to support decision-making and improve business strategies.

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

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

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, 5% Part Time, and 4% Contract. Highlights an 81% Physical, 6% Hybrid, and 13% Remote job distribution, with an average salary of $111,731 per year, or $53.7 per hour.

Southwestern University -Chief Data Analytics Officer

Lapovsky

Georgetown, TX

Full-time

Posted 6 days ago


Job description

Southwestern University, a preeminent independent liberal arts University in Texas founded in 1840 and ranked number 83 in the 2025 U.S. News & World Report best liberal arts colleges list invites applications for its first Chief Data Analytics Officer. The anticipated start date for this position is January 1, 2027. Southwestern has 1434 students, a budget of more than $70M and an endowment of $403M. Southwestern is included in The Princeton Review's 2025 Best 390 Colleges Guide and is recognized as #2 in the nation and #1 in Texas for Best Career Services. This achievement is reflected in the success of its graduates, with 95% employed or enrolled in graduate school within 10 months of graduation.

Reporting directly to the President, the Chief Data Analytics Officer (CDAO) serves as the University's senior leader for institution-wide data strategy, reporting, and analytics and will ensure compliance reporting and collaborate with senior staff to support data-driven decisions that ensure institutional growth, student and academic success, and contribute to the long-term financial health of the University. As a strategic and operational leader, the CDAO oversees data governance, business intelligence, analytics, institutional reporting, predictive modeling, and enterprise performance measurement while ensuring the accuracy, security, accessibility, and responsible use of institutional data.

As the Chief Data and Analytics Officer (CDAO), you will partner with senior leadership and colleagues across academic affairs, enrollment management, finance, information technology, student affairs, advancement, and other key administrative areas to build a culture where data drives meaningful decisions. You will have the opportunity to shape how the institution uses data and analytics to inform strategy, strengthen operations, and advance institutional priorities across the organization. The successful candidate will develop and implement university-wide processes for disseminating data requested by divisions, departments, and administrative units, ensuring information is delivered in a timely, actionable, and impactful manner that advances institutional priorities and strategic goals.

Required Qualifications:

The CDAO must possess a master's degree (doctorate preferred) in statistics, data science, economics, social science research, or a related quantitative field, along with a minimum of eight years of progressively responsible experience in institutional analytics, institutional research, or statistical analysis, preferably within higher education.

The successful candidate will have demonstrated expertise in managing large-scale datasets, applying advanced statistical modeling, and predictive analytics, and overseeing institutional, state, and federal data reporting requirements. IPEDS knowledge is highly desirable.

The role requires strong analytical and strategic thinking, data governance expertise, exceptional leadership and clear communication skills, sound judgment, and the ability to translate complex data into actionable insights that support executive decision-making and institutional effectiveness.

The ability to analyze and deliver complex institutional data in a clear concise manner is required, understanding the information will be leveraged by executive leadership to make high-stakes decisions.

Desired Skills and Attributes:

        Proven leadership experience in data analytics, with the ability to collaborate effectively across diverse teams and stakeholders.

        Strategic and analytical thinker who can translate complex data into actionable insights and communicate trends and key findings to senior leadership.

        Exceptional communication, collaboration, and relationship-building skills.

        Strong technology expertise and demonstrated ability to quickly learn and adapt to new systems and tools.

        Strong research, data organization, and presentation skills, with current knowledge of higher education, data analytics, and artificial intelligence trends.

Please review the comprehensive profile of the position which includes greater detail about the University and the position.

 Nominations and Applications Process:

Nominations and applications are invited for this position. Review of applications will begin immediately, and candidate material received by October 2, 2026 will be assured full consideration although recruitment will continue until an appointment is announced. Applications (including a cover letter and resume) must be uploaded to: http://lapovsky.hiringthing.com. Lapovsky Consulting is assisting Southwestern University in this search. To submit a nomination or to request more information regarding this search, contact:

Joy Yablonsky

Senior Executive Search Consultant

SU@lapovsky.com

215-934-1386

 Southwestern University is an Equal Employment Opportunity employer.