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Weekend Data Analyst Side Jobs in Austin, TX (NOW HIRING)

You have a genuine coaching mindset and a real interest in growing data scientists - you understand that the people side of this role is just as important as the analytical work. About the team The ...

About the Company Founded in 2016, Right Side Up is the premier growth marketing consulting firm in ... Others work 10 hours a week on nights and weekends. Some do it for extra income, others to test out ...

About the Company Founded in 2016, Right Side Up is the premier growth marketing consulting firm in ... Others work 10 hours a week on nights and weekends. Some do it for extra income, others to test out ...

About the Company Founded in 2016, Right Side Up is the premier growth marketing consulting firm in ... Others work 10 hours a week on nights and weekends. Some do it for extra income, others to test out ...

Software Engineer - Strategic Data Solutions

Austin, TX · On-site

$113K - $136K/yr

We work side-by-side with machine learning engineers and implement scalable, easy-to-use systems ... Leading the team to increase the level of maturity and skill in analytical software development

Showing results 21-40

Weekend Data Analyst Side information

See Austin, TX salary details

$33.7K

$81.9K

$134.8K

How much do weekend data analyst side jobs pay per year?

As of Aug 15, 2026, the average yearly pay for weekend data analyst side 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.

What is the difference between Weekend Data Analyst Side vs Part-Time Data Analyst?

AspectWeekend Data Analyst SidePart-Time Data Analyst
CredentialsTypically requires basic data analysis skills, often self-taught or with short coursesRequires similar skills, sometimes with additional certifications or coursework
Work EnvironmentFlexible, often remote, working on specific projects during weekendsFlexible hours, can be remote or on-site, working on ongoing or project-based tasks
Employer & IndustryFreelance or side gig, used across various industries like marketing, finance, healthcarePart-time roles in similar industries, often with companies or consulting firms

Weekend Data Analyst Side roles are typically freelance or side gigs focused on specific projects during weekends, offering flexibility. Part-Time Data Analyst positions may involve ongoing responsibilities with more structured hours, suitable for those seeking regular part-time work. Both roles require similar skills but differ mainly in commitment and work setup.

What are popular job titles related to Weekend Data Analyst Side jobs in Austin, TX?

For Weekend Data Analyst Side jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Weekend Data Analyst Side jobs in Austin, TX look for?

The top searched job categories for Weekend Data Analyst Side jobs in Austin, TX are:

What cities near Austin, TX are hiring for Weekend Data Analyst Side jobs?

Cities near Austin, TX with the most Weekend Data Analyst Side job openings:

Software Engineer - Strategic Data Solutions

Apple

Austin, TX

Full-time

Re-posted 5 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

Are you ready to apply your educational experience to real-world problems? Are you passionate about applying your data skills in a real-world tech environment?
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. Join Apple, and help us leave the world better than we found it. Apple’s Strategic Data Solutions team is responsible for mitigating fraud, waste and abuse company-wide while optimizing and empowering our customers and internal partners.
The SDS software engineering team is building an environment to enable ground breaking data analysis over Petabytes of data. We work side-by-side with machine learning engineers and implement scalable, easy-to-use systems and tools. We are seeking a customer- focused, passionate and driven Software Engineer with experience in building analytic tools and solutions.
Description
With the expansive data we have, our job is to build meaningful data relationships and engagement experiences for our internal customers. If you’re interested in being a part of a team that’s constantly learning and problem-solving, we’d love to talk with you. As a Software Engineer on the SDS team, you will work closely with Machine Learning Engineers and other Software Engineers to lead the design and implementation of systems and tools to support the fraud prevention efforts of SDS.
You will be:
• Developing and implementing production software for preventing fraud
• Responsible for system architecture design
• Working with external infrastructure teams to drive the development of infrastructure needs
• Innovating by recognizing opportunities for automation and tools improvements
• Responsible for developing and implementing process improvements to bring efficiency and stability to fraud analytics
• Responsible for technical leadership for a team of data scientists
• Lead the team to increase the level of maturity and skill in analytical software development
• Responsible for release engineering
Preferred Qualifications
Some experience with Docker, Kubernetes, or cloud platform deployment
Experience with Relational databases and NoSQL databases
Demonstrated understanding of the full software development lifecycle
Excellent problem solving, critical thinking, and communication skills
Solid grasp of computer science fundamentals including data structures and algorithms
Solid ability to evaluate and apply new technologies in a short time
Self-motivated, proactive, and solution-oriented
Minimum Qualifications
BS or advanced degree in Computer Science, related field or equivalent experience
Mastery of one of Python, Java, Scala, C++ or equivalent language
4+ years of experience in software engineering/data science
Experience building data science or data analysis tools on Hadoop/cloud based systems

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