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Software Data Analyst Jobs in California (NOW HIRING)

Apple

Software Data Engineer

Cupertino, CA · On-site

$141K - $169K/yr

Join Apple's Analytics Platforms & Experiences (APX) team as a Software Engineer and be part of a team that is redefining what modern data engineering looks like. APX is part of Apple Services ...

AllSTEM Connections

Software/Data Engineer

Westminster, CA · On-site

$124K - $145K/yr

Leverage Foundry's Resource Management applications to analyze compute consumption, execution costs ... software engineering and data platform experience. * Technical Expertise: * Strong full-stack ...

Socket.dev

Software Data Engineer

Cupertino, CA · On-site

$141K - $169K/yr

Join Apple's Analytics Platforms & Experiences (APX) team as a Software Engineer and be part of a team that is redefining what modern data engineering looks like. APX is part of Apple Services ...

Apple

Software Data Engineer

Cupertino, CA

$150K - $277K/yr

Join Apple's Analytics Platforms & Experiences (APX) team as a Software Engineer and be part of a team that is redefining what modern data engineering looks like. APX is part of Apple Services ...

Apple Inc.

Software Data Engineer

Cupertino, CA · On-site

$150K - $277K/yr

Cupertino, California, United States Software and Services Join Apple's Analytics Platforms & Experiences (APX) team as a Software Engineer and be part of a team that is redefining what modern data ...

Blue Kangaroo PACKOUTZ

$20 - $25/hr

... software and bringing order to data. The Operations & Data Associate will be trained to become our ... operations or analyst role over time • Flexible scheduling for the right person (including ...

Atria Group LLC

Data Analyst

San Francisco, CA

Company Description We specialize in Staffing, Consulting, Software Development, and Training along ... of Data Analysis experience. 2) Should have very good experience on Data Profiling and Data ...

NAVA Software Solutions

Sr. Data Analyst

San Francisco, CA · On-site

$101K - $127K/yr

NAVA Software solutions is looking for a Sr. Data Analyst Details: Sr. Data Analyst Location: 100% Remote - Must work in PST. Duration: 12 months Mandatory Skills/Experience: * Proficiency with SQL

Sagetap

Data Analyst

San Francisco, CA · On-site +1

$85K - $110K/yr

Data Analyst Company Description Sagetap is a rapidly growing startup changing how enterprise technology executives discover and evaluate software. Our AI-driven platform anonymously connects tech ...

New

The Rockridge Group

Data Analyst

Concord, CA

Data Analyst Position Summary We have a need for Data Analyst with experience in data analytics and ... Analytic modeling using methods such as basic statistics, software-assisted segmentation and linear ...

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Showing results 1-20

All JobsSoftware Data Analyst JobsSoftware Data Analyst Jobs in California

Software Data Analyst information

See California salary details

$33.6K

$81.6K

$134.2K

How much do software data analyst jobs pay per year?

As of Sep 12, 2026, the average yearly pay for software data analyst in California is $81,558.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,700.00 and $95,700.00 per year, depending on experience, location, and employer.

What is a software data analyst?

A Software Data Analyst is a professional who uses data analysis techniques to interpret, manage, and report on software-related data. They work closely with development teams, product managers, and business stakeholders to help improve software products by analyzing usage metrics, bug reports, user feedback, and other data sources. Their insights help guide decision-making, optimize product performance, and identify trends or areas for improvement. Typical tasks include data collection, cleaning, visualization, and the creation of actionable reports. Strong analytical skills, proficiency with data analysis tools, and an understanding of software development processes are important for this role.

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

To thrive as a Software Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in computer science or a related field. Familiarity with data analysis tools like SQL, Python, R, and experience with data visualization platforms such as Tableau or Power BI are typically required, and certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate can be advantageous. Attention to detail, problem-solving, and effective communication are vital soft skills for interpreting data and presenting actionable insights to stakeholders. These skills enable accurate data-driven decision-making and ensure that insights are clearly understood and effectively implemented within an organization.

How does a software data analyst typically collaborate with software developers and other teams?

As a Software Data Analyst, you'll frequently work alongside software developers, product managers, and business analysts to translate data insights into actionable improvements. You'll often participate in cross-functional meetings, provide analytical support during development cycles, and help define metrics to measure product performance. Effective communication is key, as you'll need to explain complex data findings in a clear way to both technical and non-technical stakeholders. This collaborative environment not only enhances the end product but also offers opportunities to learn from diverse perspectives and expand your professional network.

What is the difference between Software Data Analyst vs Data Scientist?

AspectSoftware Data AnalystData Scientist
Required CredentialsBachelor's in Data Analysis, Computer Science, or related fields; certifications like Microsoft Certified Data AnalystBachelor's or Master's in Data Science, Statistics, or related; certifications like Certified Data Scientist
Work EnvironmentBusiness settings, IT departments, analytics teamsResearch labs, tech companies, analytics teams
Employer & Industry UsageFinance, healthcare, retail, tech companiesTech firms, research institutions, startups
Common Search & ComparisonYesYes

The main difference between a Software Data Analyst and a Data Scientist lies in their focus and skill set. Software Data Analysts primarily interpret data to support business decisions using tools like SQL and Excel, while Data Scientists develop complex models and algorithms to extract deeper insights, often requiring advanced statistical knowledge and programming skills. Both roles are vital in data-driven industries but serve different analytical needs.

Is a data analyst a well paid job?

Data analysts typically earn competitive salaries that vary by industry, experience, and location. Entry-level positions may start lower, but with skills in SQL, Excel, and data visualization tools, salaries tend to increase with experience and certifications like Tableau or Power BI.

What are top 3 skills for a software data analyst?

A software data analyst should have strong analytical skills, proficiency in programming languages like Python or R, and expertise in data visualization tools such as Tableau or Power BI. Additionally, knowledge of SQL for database querying and a solid understanding of statistical methods are essential for effective data analysis.
Software Data Analyst jobs near you
Infographic showing various Software Data Analyst job openings in California as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 15% Part Time, and 5% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $81,558 per year, or $39.2 per hour.

Software Data Engineer

Cupertino, CA • On-site

Apple
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Appleexternal

$141K - $169K/yr

Full-time

Re-posted 2 days ago

Apple rating

8.1

Company rating: 8.1 out of 10

Based on 684 frontline employees who took The Breakroom Quiz

Job description

Join Apple's Analytics Platforms & Experiences (APX) team as a Software Engineer and be part of a team that is redefining what modern data engineering looks like. APX is part of Apple Services Engineering - the engine that powers App Store, Apple TV+, Apple Music, Apple Podcasts, Apple Books, Fitness+, the iTunes Store, and more. We build the frameworks, tools, and platform solutions that unlock observability, deliver actionable insights, and enable data quality-driven orchestration at massive scale. Our work drives real, measurable gains in efficiency and productivity across some of Apple's most critical services.
As a member of the Data Engineering Platform (DEP) team - the foundational layer of our platform - you will help build scalable backend services and developer tools that make it easier for teams across Apple to build and operate analytics pipelines efficiently. If you are passionate about data engineering, eager to grow, and excited about making a real impact at Apple scale - this is the role for you.
Description
As part of the Data Engineering Platform (DEP) team, you will help design and build the core platform capabilities that teams across Apple rely on every day. You will collaborate closely with experienced engineers, contribute to scalable backend services that integrate big data technologies with microservices, and help shape intuitive developer tools and automation systems that reduce friction and drive productivity. This is a great opportunity for an engineer who wants to grow fast, work on hard problems, and do the best work of their life at Apple.
Minimum Qualifications
Bachelor's degree in Computer Science, Software Engineering, or a related technical field
3+ years of software engineering experience, with a solid foundation in building and shipping production-quality code
Strong proficiency in at least one programming language such as Python, Java, Go, or Scala
Understanding of data engineering fundamentals including data pipelines, batch processing, and real-time data streaming
Hands-on experience designing and building backend services and APIs
Working knowledge of distributed systems and big data technologies such as Spark, Kafka, or Hadoop
Exposure to AI-driven development practices with a genuine enthusiasm for leveraging AI tools to improve engineering productivity and code quality
A curious, self-driven mindset with a strong interest in how AI is shaping the future of software and data engineering
Strong problem-solving ability with a collaborative approach to working across teams
Clear and concise communicator who can translate technical concepts for diverse audiences
Preferred Qualifications
Hands-on experience with big data technologies such as Apache Spark, Kafka, Flink, or Airflow
Some exposure to microservices architecture and cloud platforms such as AWS, GCP, or Azure
Familiarity with data orchestration frameworks and pipeline management tools such as Airflow or Prefect
Basic experience with containerization tools such as Docker and Kubernetes
Awareness of data quality, observability, and monitoring concepts in data pipelines
Some exposure to developer tooling, internal platforms, or automation scripting
Ability to ramp up quickly, take ownership of tasks, and contribute meaningfully in a collaborative team environment

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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