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Data Jobs in Austin, TX (NOW HIRING)

Data Modeler

Austin, TX · On-site

$54.25 - $70.50/hr

Data Modeler Location: Austin, TX Duration: 336 Hours W2 only. The Data Modeler performs complex (senior-level) data analysis, data modeling and data administration work. Work involves building data ...

About the Data Scientist position We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You ...

About the Data Scientist position We are looking for a skilled Data Scientist who will help us analyze large amounts of raw information to find patterns and use them to optimize our performance. You ...

We are seeking a Data Analyst to support business growth through metrics, reporting, and data-driven insights. This role supports leadership and cross-functional teams by delivering accurate ...

Data Architect

Austin, TX · On-site

$63.25 - $81.25/hr

Data Architect - Enterprise Data Modernization (D2I Initiative) Environment: Higher Education | Enterprise Data | Hybrid Mainframe + Cloud Position Overview The Data Architect will support UT Austin ...

About the Role We are seeking an experienced, detail-minded data analyst consultant to join our global business development and strategy team. In this role, you will be embedded at Monks, serving as ...

Data Architect

Austin, TX · On-site

$62.50 - $80.50/hr

Data Architect Location: Brown Heatly Building, 4900 North Lamar, Austin, Texas 78751 Duration: 9 Months 1450 hours II. Worker Skills And Qualifications: Minimum Requirements: Years Skills/Experience ...

Data Architect

Austin, TX · On-site

$63.25 - $81.25/hr

Data Architect Location: Austin, TX (hybrid) Schedule: Full-time | Hybrid (2-3 days in office) Work Authorization Notice: At this time, we are unable to provide immigration sponsorship for this ...

Data Architect

Austin, TX · On-site

$63.25 - $81.25/hr

Role: Data Architect Location : Austin, TX 78728 ( Local to TX) Duration: Long Term Contract Minimum Requirements: Candidates that do not meet or exceed the minimum stated requirements (skills ...

10 Required Experience gathering business requirements and translating complex data requests and operational requirements into clear, actionable queries for complex analytics data sources 10 Required ...

Data Architect

Austin, TX · On-site

$120 - $150/hr

We are building a modern data foundation to support our next phase of growth. About This Role Togetherwork is seeking a highly skilled and strategic Data Architect to support Protech implementations ...

Data Analyst

Austin, TX · On-site

$75K/yr

We are seeking a Data Analyst to support business growth through metrics, reporting, and data-driven insights. This role supports leadership and cross-functional teams by delivering accurate ...

Data Analyst

Austin, TX · On-site

$40 - $50/hr

We are seeking a Data Analyst to support complex business reporting, ad hoc analysis, and dashboard development initiatives. This role requires strong analytical skills with expertise in SQL, Python ...

Data Scientist under general supervision will perform data engineering, data modeling and model deployment. Analyze large scale complex business data (time series data, structured/unstructured) from ...

Showing results 21-40

Data information

See Austin, TX salary details

$45.6K

$163.5K

$241.3K

How much do data jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data in Austin, TX is $163,528.00, according to ZipRecruiter salary data. Most workers in this role earn between $132,300.00 and $168,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a data analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

Is it hard to get a data job?

Getting a data job can be competitive, as it often requires strong skills in data analysis, programming, and tools like SQL or Python. Relevant experience, certifications, and a solid portfolio can improve chances of securing a position in this field.

What are different jobs that work with data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and interpreting data to support decision-making, often requiring skills in programming, statistics, and data visualization tools like SQL, Python, or R.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What are the most commonly searched types of Data jobs in Austin, TX? The most popular types of Data jobs in Austin, TX are:
What cities near Austin, TX are hiring for Data jobs? Cities near Austin, TX with the most Data job openings:
Infographic showing various Data job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $163,528 per year, or $78.6 per hour.

Data Scientist - Strategic Data Solutions

Apple

Austin, TX • On-site

Full-time

Re-posted 14 days ago


Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers


Job description

Imagine what you could do here! The people here at Apple don't just create products - they build the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts.
At Apple, inclusion is a shared responsibility, and we work together to foster a culture where everyone belongs and is inspired to do their best work. Here on the Apple Store Online team, we are responsible for Apple's largest store. Our main goal is to deliver a magical, personal digital experience where customers can shop, buy and learn everything Apple, wherever they are. Each customer should feel like they are our only customer and our job is to set the bar for the experience they receive. To run such an extraordinary store, it takes extraordinary people, and we are looking for someone to help us do extraordinary things.
As a Data Scientist, you will provide data driven insights to fight fraud. You will develop models, evaluate product launches, develop automated solutions to deliver timely alerts, find opportunities for future development by applying the bleeding edge scientific methods. You will partner with engineers, product, program and business leaders alongside other teams to bring better experiences to drive meaningful customer impact.
Description
Research and develop evaluation methods to address fraud. Solve difficult, non-routine analysis problems by applying statistical, machine learning and advanced analytical methods as needed.
- Design and execute observational and experimental studies of causal inference
- Work with large, complex data sets.
- Develop automated solutions to deliver insights and alerts
- Drive feature evaluation and product roadmap with insights
Minimum Qualifications
Masters in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent
Proficiency in data querying using SQL, Spark, or equivalent technologies
Proficiency in scripting languages for data processing and analysis (ex: Python, R, or Scala)
Excellent communication and multi-functional collaboration skills, ability to convey complex concepts to diverse audiences
At least 3 years experience working as a Data Scientist
Preferred Qualifications
PhD in Statistics, Mathematics, Data Science, Machine Learning, Physics, Engineering, Computer Science or equivalent
Experience applying LLMs to solve technical problems such as data analysis, data automation, synthetic data generation with proven ability to optimize model performance for accuracy and efficiency
Excellent product intuition, keen eye for design and customer pain point awareness
Experience developing anomaly detection and causal inference models

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976