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Computer Science Analyst Jobs in California (NOW HIRING)

Data Science Analyst

San Francisco, CA · On-site

$70K - $85K/yr

We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ... Bachelors degree in Business, Management, Economics, Accounting, Finance, or Computer and ...

Data Science Analyst

San Francisco, CA · On-site

$70K - $85K/yr

We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ... Bachelors degree in Business, Management, Economics, Accounting, Finance, or Computer and ...

Data Science Analyst

Los Angeles, CA · On-site

$70K - $85K/yr

We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ... Bachelors degree in Business, Management, Economics, Accounting, Finance, or Computer and ...

We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work ... Bachelors degree in Business, Management, Economics, Accounting, Finance, or Computer and ...

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Computer Science Analyst information

See California salary details

$14

$33

$64

How much do computer science analyst jobs pay per hour?

As of Jun 7, 2026, the average hourly pay for computer science analyst in California is $33.61, according to ZipRecruiter salary data. Most workers in this role earn between $24.66 and $39.13 per hour, depending on experience, location, and employer.

How does a Computer Science Analyst typically collaborate with other departments within an organization?

Computer Science Analysts frequently work cross-functionally, partnering with teams such as software development, IT, and business operations to analyze data, improve systems, and implement technology solutions. They often act as a bridge between technical specialists and non-technical stakeholders, translating business needs into actionable technical requirements. Effective communication and collaboration are crucial, as analysts may participate in meetings, provide regular updates, and help troubleshoot challenges that arise during project implementation.

What are the key skills and qualifications needed to thrive as a Computer Science Analyst, and why are they important?

To thrive as a Computer Science Analyst, you need a solid background in programming, data analysis, and problem-solving, usually supported by a degree in computer science or a related field. Familiarity with analytical tools such as SQL, Python, data visualization software, and sometimes certifications like CompTIA Data+ or Microsoft Certified: Data Analyst Associate is highly beneficial. Strong analytical thinking, attention to detail, and effective communication set top performers apart in this position. These skills ensure that analysts can interpret complex data, provide actionable insights, and collaborate effectively to support organizational goals.

What does a Computer Science Analyst do?

A Computer Science Analyst is responsible for studying and evaluating computer systems and processes within an organization to improve efficiency, security, and effectiveness. They analyze data, design solutions, and may assist in implementing new technologies or optimizing existing systems. Their work often involves collaborating with IT teams and other departments to understand business needs and translate them into technical requirements. Computer Science Analysts also play a key role in troubleshooting and solving complex technical problems. This role requires strong analytical, problem-solving, and communication skills.
What job categories do people searching Computer Science Analyst jobs in California look for? The top searched job categories for Computer Science Analyst jobs in California are:
Infographic showing various Computer Science Analyst job openings in California as of May 2026, with employment types broken down into 1% As Needed, 94% Full Time, 2% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 74% Physical, 3% Hybrid, and 23% Remote job distribution, with an average salary of $69,905 per year, or $33.6 per hour.
Data Science Analyst

Data Science Analyst

Tatari

San Francisco, CA • On-site

$70K - $85K/yr

Other

Medical, Retirement, PTO

Posted 19 days ago


Job description

Tatari is on a mission to revolutionize TV advertising. Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent application of AI and machine learning, Tatari helps some of the world's fastest growing brands including Chime, Calm, Tecovas, Manscaped, Saatva, and Liquid I.V., reach their customers using linear and streaming TV ads. Our platform combines sophisticated media buying with proprietary analytics to turn TV advertising into an automated, digital-like experience, enabling businesses of any size to advertise on TV.

That approach has earned Tatari broad industry recognition, including being named Best CTV AdTech Platform in the 8th annual MarTech Breakthrough Awards, as well as honors from Digiday (Best Connected TV Platform), AdExchanger (Most Innovative TV Advertising Technology), and Business Insider (Hottest AdTech Companies). Tatari has also been recognized as the Best Place to Work by Inc. Magazine. Backed by an executive team of former founders and senior leaders from companies including Shazam, TrueCar, AdapTV, LiveRail, Amazon, Google, Meta, Microsoft, and Yahoo, Tatari continues to scale rapidly as TV advertising enters its next major era.

We're looking for a Data Science Analyst to join the Data Science team. In this role, you will work in a fast-paced environment with diverse data sets and technologies to build production quality, scalable and automated solutions for a varied set of challenging data problems. Under the guidance of our Senior Data Scientists and Senior Data Science Analysts, you will have the freedom to utilize the latest technologies to solve challenging problems, create innovative applications from the ground up, and understand exactly what it takes to create a reliable online experience for our customers. This role collaborates closely with our technology teams to provide profound insights from your analysis, and optimize our business, with the ultimate goal of helping Tatari redefine the TV ad buying experience.

Responsibilities: 

  • Automate data-driven tasks; design processes that require zero intervention
  • Work cross-functionally within the organization to deliver integrated business solutions
  • Provide ad-hoc data analysis, utilizing Python, PySpark, and SQL to identify and forecast trends and conduct deep-dive quantitative analyses to optimize client marketing performance
  • Use best-in-class tools like Databricks, and Tableau to empower insightful analysis for advertising partners 

Qualifications:

  • Bachelors degree in Business, Management, Economics, Accounting, Finance, or Computer and Information Science required
  • 1-2 years of academic and/or professional experience in Data Manipulation Software (e.g., SQL, Python, Pandas)
  • Demonstrated abilities to manipulate, analyze, and interpret large amounts of data and to organize findings and translate them into actionable insights using original or innovative techniques
  • Extremely organized with great attention to detail
  • Excellent ability to analyze information and think systematically
  • Works well independently and as part of a team
  • Ability to handle databases and understand technology-driven business tools
  • A sense of curiosity and desire to learn! 

Benefits:

  • Total compensation ($70,000 - $85,000)
  • Equity compensation
  • Health insurance coverage for you and your dependents
  • 401K, FSA, and commuter benefits
  • $150 monthly spending account
  • $1,000 annual continued education benefit
  • $500 Newbie Productivity Perk
  • Unlimited PTO and sick days
  • Monthly Company Wellness Day Off
  • Snacks, drinks, and catered lunches at the office
  • Team building events 
  • Hybrid RTO of 2 days per week. THIS IS AN IN-OFFICE POSITION

At Tatari, we believe in the importance of cultivating teams with diverse backgrounds and offering equal opportunities to all. We strive to create a welcoming, inclusive environment where every team member feels valued and diversity is celebrated.

#LI-DNI