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Software Data Analyst Jobs in California (NOW HIRING)

Data Analyst

San Francisco, CA · On-site

$85K - $110K/yr

Collaborate with software engineering teams to improve data quality and availability. * Support business and operations teams with ad hoc reporting and analysis requests. * Present findings clearly ...

Carlsbad, CA Duration: 6 Months • Strong data analysis and data profiling skills • Strong ... software engineering, computer science or information systems (or equivalent experience) • ...

The Data Analyst works with the Chief Strategy Officer, two strategy directors, and a data ... Lead implementation of statistical data models into proprietary custom-built software platforms for ...

Data Science / Data Engineer

San Jose, CA · On-site

$134K - $161K/yr

... experience in software/data applications 2+ years of experience with Hadoop, NoSQL, SQL 2+ years of experience leverating R, or Excel for data analysis Ability to deal with TB/PB of structured ...

The Data Analyst works with the Chief Strategy Officer, two strategy directors, and a data ... Lead implementation of statistical data models into proprietary custom-built software platforms for ...

... analytics (regression, clustering, time series, etc ... Lead implementation of statistical data models into proprietary custom-built software platforms for ...

Data Analyst

San Francisco, CA · On-site

$140K - $180K/yr

Data Analyst Harper is an AI-native commercial insurance company in San Francisco ... We're not bolting AI onto insurance -- we're rebuilding the entire business as software, on a ...

... analytics (regression, clustering, time series, etc ... Lead implementation of statistical data models into proprietary custom-built software platforms for ...

Data Analyst

San Francisco, CA · On-site

$140K - $180K/yr

Data Analyst Harper is an AI-native commercial insurance company in San Francisco ... We're not bolting AI onto insurance - we're rebuilding the entire business as software, on a simple ...

Data Analyst

San Francisco, CA · On-site

$140K - $180K/yr

Data Analyst Harper is an AI-native commercial insurance company in San Francisco ... We're not bolting AI onto insurance -- we're rebuilding the entire business as software, on a ...

Data Analyst

San Francisco, CA · On-site

$114K - $142K/yr

As we control every component of hardware design, manufacturing, data processing, and software ... We are seeking a Data Analyst to join our Data Team. The ideal candidate is curious, passionate ...

Data Analyst

San Francisco, CA · On-site

$114K - $142K/yr

As we control every component of hardware design, manufacturing, data processing, and software ... We are seeking a Data Analyst to join our Data Team. The ideal candidate is curious, passionate ...

Data Analyst

San Francisco, CA · On-site

$190K - $270K/yr

Right now, the data that runs the business is scattered across a dozen systems that don't talk to ... hardware, intuitive software, and streamlined operations to deliver great outcomes for our ...

Right now, the data that runs the business is scattered across a dozen systems that don't talk to ... hardware, intuitive software, and streamlined operations to deliver great outcomes for our ...

MW Partners is currently seeking a Data Analyst to work for our client who is a global leader in multimedia and creativity software products. Responsibilities and duties: * Introduction: To enhance ...

Data Analyst IV

San Diego, CA · On-site

$109 - $114/hr

Knowledge of query tools and/or statistical software. * Strong analytical and organizational skills. * Strong verbal and written communication skills. Responsibilities: * Performs data collection ...

Showing results 41-60

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 14, 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.
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 Analytics Engineer - Apple Services Engineering

Cupertino, CA • On-site

Apple
Computer and Electronic Product Manufacturing • 10K+ employees

$150K - $277K/yr

Full-time

Medical, Dental, Retirement

Re-posted 14 days ago


Apple rating

8.1

Company rating: 8.1 out of 10

Based on 685 frontline employees who took The Breakroom Quiz


Job description

Gaming is a massive and rapidly growing part of the Apple ecosystem, bringing joy to hundreds of millions of players across all Apple devices. The Apple Games App is at the forefront of this experience, designed to connect players with incredible games, foster communities, and empower developers to build the next generation of interactive entertainment. We believe we are just getting started in redefining the gaming landscape.
We are seeking a software data engineer to join the Apple Games App Data Engineering team. In this role, you will help deliver an unparalleled gaming experience and improve the platform every day for both players and game developers by generating insights from data in a privacy-friendly manner. We enable data-driven innovation by building solutions, services, and analytical workloads for a variety of internal collaborators and external gaming partners. In a world where gaming has become a central pillar of digital entertainment, the Apple Games team is essential to Apple's business.
Description
As a member of the Apple Games App Data Engineering team, you will have significant responsibility and influence in shaping its strategic direction. This is a software engineering position. We write robust code, not just ad-hoc scripts. Our software processes dozens of terabytes of gaming and player engagement data on a daily basis. Our jobs and applications must be efficient, scalable, and stable.
Although we write software, data is our main product and first-class citizen. We care about accurate and qualitative data as much as we care about fine, clean, and manageable code. The data we produce powers Apple leadership and our game developer partners with insights about player behavior, new innovations, and the next big things in gaming. You will play a key role in developing analytics solutions tailored specifically for game developers, leveraging your knowledge of the third-party gaming analytics ecosystem to help build best-in-class tools.
To succeed here you will need to be a proponent of building world-class analytical solutions. To be a part of the team means we will want your ideas, concerns, and opinions in our discussions. We are highly collaborative. You will collaborate closely with engineering, product, and partner organizations. Privacy is a foundational engineering requirement in everything we build, and our solutions are designed to comply with Apple's privacy principles from the ground up. Our team is small and focused, where engineers work across a broad range of problems.
Preferred Qualifications
Good understanding of software engineering principles and fundamentals including algorithms and data structures.
Self-directed, self-motivated, and ability to create architecture and design documents.
Ability to capture cross-functional requirements and translate them into practical engineering tasks.
Excellent communication skills and proven ability to work in a cross-functional environment.
Minimum Qualifications
Bachelor's Degree in Computer Science, Engineering, or equivalent related experience
Experience building analytics and data solutions specifically for game developers.
Familiarity with third-party analytics tools and platforms used in the gaming industry.
5+ years of hands-on experience building distributed data processing applications using Apache Spark or Apache Flink.
5+ years of programming experience in Scala (preferred) or Java.
Experience with Big data: Hadoop, HDFS, Spark, SQL, Kafka.
Proven skills in designing scalable, highly available distributed systems using technologies like Kafka, Iceberg, Kubernetes, Airflow, and Cassandra.
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $150,400 and $277,600, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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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