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Data Analyst Data Science Jobs in Austin, TX (NOW HIRING)

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 ...

Role Overview We are seeking a Data Analyst to transform raw data into actionable insights that ... Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or ...

Sr Data Analyst

Austin, TX · Hybrid

$85K - $107K/yr

Bachelor's degree in Data Science/Analytics, Computer Science, Finance, Economics, Accounting or related field. Minimum Years of Experience * 4 years' experience in a experience as a Data Analyst or ...

New

Data Science Engineer

Austin, TX · On-site

$113K - $136K/yr

FreedomPay is seeking a Data Science Engineer who can creatively solve complex data problems and ... and develop data analytics pushes with product, marketing, and sales teams • Write and ...

Monitor and maintain the integrity of a wide range of tools and models used to streamline workflows and personalize the player experience, in collaboration with other data analysts and scientists on ...

Posted today

Data Scientist

Austin, TX · On-site

$100 - $130/hr

Master's degree or foreign equivalent in Business Analytics, Data Science, Statistics, Applied Mathematics, Operations Research, Economics, Natural Sciences, or a related field and 3 years of ...

Data Science and Analytics team leadership. Manage data analysts delivering dashboards, recurring reports, and ad-hoc analysis. Establish consistent standards for data science and analytics ...

Bachelor's Degree in Management Information Systems, Computer Science, Statistics, Mathematics, or a related discipline. * Minimum of 3 years of experience in data analysis, research, data ...

Required Qualifications Bachelor's Degree in Management Information Systems, Computer Science, Statistics, Mathematics, or a related discipline. Minimum of 3 years of experience in data analysis ...

And because it's Visa, our data scientists have access to a treasure trove of structured and un ... Provides ad-hoc data analysis support and conducts data studies for Visa account management ...

As a Data Science Advisor, you will apply advanced analytics, machine learning, and AI to deliver insights that improve clinical outcomes, enhance the member experience, and drive business growth.

This could include roles such as data analyst, data scientist, data engineer, or similar positions * 4+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g ...

This could include roles such as data analyst, data scientist, data engineer, or similar positions * 7+ years of experience with SQL, ETL, data modeling, and at least one programming language (e.g ...

Showing results 41-60

Data Analyst Data Science information

See Austin, TX salary details

$33.7K

$81.9K

$134.8K

How much do data analyst data science jobs pay per year?

As of Aug 7, 2026, the average yearly pay for data analyst data science in Austin, TX is $81,914.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,100.00 per year, depending on experience, location, and employer.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.
What are popular job titles related to Data Analyst Data Science jobs in Austin, TX? For Data Analyst Data Science jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Data Analyst Data Science jobs in Austin, TX look for? The top searched job categories for Data Analyst Data Science jobs in Austin, TX are:
What cities near Austin, TX are hiring for Data Analyst Data Science jobs? Cities near Austin, TX with the most Data Analyst Data Science job openings:
Infographic showing various Data Analyst Data Science 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 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,914 per year, or $39.4 per hour.

Sr. Software Engineer (Data Science/Data Engineering)

SpaceX

Bastrop, TX • On-site

$113K - $136K/yr

Full-time

Re-posted 15 hours ago


SpaceX rating

8.8

Company rating: 8.8 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

15th of 72 rated aerospace companies


Job description

Job Summary:
SpaceX is actively developing technologies to enable human life on Mars. They are seeking a Senior Software Engineer specializing in Data Science and Data Engineering to create mission-critical applications and systems that analyze data from various sources to support their operations.
Responsibilities:
• Develop highly reliable and scalable data analysis libraries, systems, and data pipelines, to empower engineers across SpaceX
• Create new applications that improve how the business at SpaceX operates
• Collaborate with peers on architecture, design, and code reviews
• Build prototypes to prove out key design concepts and quantify technical constraints
• Own all aspects of software engineering and product development
• Deep dive into engineering problems and involve in corporation/coordination with domain experts
Qualifications:
Required:
• Bachelor's degree in computer science, engineering, math, or scientific discipline and 5+ years of professional experience in software development; OR 7+ years of professional experience building software in lieu of a degree
• 3+ years of professional experience in full-stack development
Preferred:
• 3+ years of professional experience in data engineering or data science
• 2+ years of hands-on experience applying ML techniques (ex: CNNs, RNNs) to datasets
• Programming experience in Python, C#, or similar languages
• Experience working with data analysis libraries such as Python Pandas
• Experience with machine learning libraries like SciPi and PyTorch
• Experience with data exploration tools like Grafana, Jupyter Notebooks, Metabase, PowerBI or similar
• Experience with relational databases such as PostgreSQL
• Experience applying computer vision libraries such as OpenCV and Ultralytics to real-world problems
• Good understanding of machine learning algorithms, linear algebra, calculus, probability, statistics, and optimization methods.
• Good understanding of version control, testing, continuous integration, build, deployment and monitoring
• Some front-end experience in Angular, React, or similar JavaScript framework
Company:
SpaceX develops and operates rockets, satellite networks, and AI infrastructure including launch, connectivity, and cloud services. Founded in 2002, the company is headquartered in Hawthorne, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

What SpaceX employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About SpaceX

Sourced by ZipRecruiter

Industry

Aerospace product and parts manufacturing, data services, guided missile and space vehicle manufacturing and satellite telecommunications

Company size

1,001 - 5,000 Employees

Headquarters location

Hawthorne, CA, US