1

Data Analyst Computer Science Jobs in Los Angeles, CA

Field Data Analyst

Irvine, CA · On-site

$75K - $115K/yr

Bachelor's degree in Engineering, Data Science, Computer Science, Statistics, or related field * Strong analytical skills with ability to work with messy operational datasets * Proficiency in Python ...

Bachelor's degree in Engineering, Data Science, Computer Science, Statistics, or related field * Strong analytical skills with ability to work with messy operational datasets * Proficiency in Python ...

Bachelor's degree in Engineering, Data Science, Computer Science, Statistics, or related field * Strong analytical skills with ability to work with messy operational datasets * Proficiency in Python ...

Global Data Analyst

Carson, CA

  • Medical

  • Life

  • Retirement

  • PTO

Bachelors degree in Computer Science, Information Systems, Data Science, Business Analytics or another related field. * 3-5 years of previous analytical experience * Proficient in SQL, Power BI, and ...

Global Data Analyst

Carson, CA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

Bachelor's degree in Computer Science, Information Systems, Data Science, Business Analytics or another related field. * 3-5 years of previous analytical experience * Proficient in SQL, Power BI, and ...

Global Data Analyst

Carson, CA

  • Medical

  • Life

  • Retirement

  • PTO

Bachelor's degree in Computer Science, Information Systems, Data Science, Business Analytics or another related field. * 3-5 years of previous analytical experience * Proficient in SQL, Power BI, and ...

Senior Data Analyst

Los Angeles, CA · On-site

$140K - $180K/yr

Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, or a related STEM discipline. * 6+ years of experience in a data analyst or analytics role. * Proficiency in SQL and ...

Sr Data Analyst

Newport Beach, CA · On-site

$92K - $116K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The experience you bring: * BS in Computer Science, Mathematics, Finance, or related field. Master's degree preferred. * Minimum of 6+ years of professional experience in Data analysis, Data Quality ...

Senior Data Analyst

Los Angeles, CA · On-site

$140K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, or a related STEM discipline. * 6+ years of experience in a data analyst or analytics role. * Proficiency in SQL and ...

Senior Data Analyst

Los Angeles, CA

$140K - $180K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, or a related STEM discipline. * 6+ years of experience in a data analyst or analytics role. * Proficiency in SQL and ...

Sr Data Analyst

Newport Beach, CA

$92K - $116K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The experience you bring: * BS in Computer Science, Mathematics, Finance, or related field. Master's degree preferred. * Minimum of 6+ years of professional experience in Data analysis, Data Quality ...

Showing results 21-40

Data Analyst Computer Science information

See Los Angeles, CA salary details

$36.6K

$89K

$146.5K

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

As of Aug 14, 2026, the average yearly pay for data analyst computer science in Los Angeles, CA is $89,046.00, according to ZipRecruiter salary data. Most workers in this role earn between $67,300.00 and $104,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Analyst in Computer Science, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as experience with database systems, are typically required. Attention to detail, problem-solving abilities, and effective communication help data analysts translate complex data into actionable insights for stakeholders. These skills are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational growth.

What is a data analyst in computer science?

A Data Analyst in Computer Science is a professional who collects, processes, and analyzes data to help organizations make informed decisions. They use various statistical tools and programming languages, such as Python, R, and SQL, to interpret complex datasets and identify trends or patterns. Their work often involves cleaning data, creating visualizations, and preparing reports for stakeholders. Data Analysts play a key role in turning raw data into actionable insights that drive business strategies.

How does a data analyst with a computer science background typically collaborate with other departments within a company?

Data Analysts with a computer science background often work closely with teams such as marketing, product development, and IT to translate raw data into actionable insights. They may participate in cross-functional meetings to understand business goals, provide data-driven recommendations, and help automate data collection processes. Strong communication skills are essential, as analysts must explain technical findings in a way that non-technical stakeholders can understand. This collaborative environment not only broadens their impact but also exposes them to various aspects of the business, fostering professional growth.

What cities near Los Angeles, CA are hiring for Data Analyst Computer Science jobs?

Cities near Los Angeles, CA with the most Data Analyst Computer Science job openings:

Infographic showing various Data Analyst Computer Science job openings in Los Angeles, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 90% In-person, and 10% Hybrid job distribution, with an average salary of $89,046 per year, or $42.8 per hour.

Field Data Analyst

FieldAI

Irvine, CA • On-site

$75K - $115K/yr

Full-time

Re-posted 21 days ago


Job description

Job Title: Field Data Analyst
Location: Irvine, CA
Job Type: Full time
Prefer Local Candidates
Who are We?
Field AI is transforming how robots interact with the real world. We are building risk-aware, dependable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.
Learn more at https://fieldai.com.
About the role:
We are looking for a Field Data Analyst to support data validation, analysis, and reporting for deployed robotic systems. This role sits within the Service organization and works closely with field operations, engineering, and customer teams to ensure that operational data from deployed robots is accurate, interpretable, and actionable.
The analyst will support both Data Delivery QA and Field Performance Audits, helping validate mission datasets, investigate operational trends, and generate structured reports for internal teams and customers.
Key Responsibilities
Data Validation & Quality Assurance
    • Validate mission datasets generated by deployed robots.
    • Perform completeness, schema, and integrity checks on field data.
    • Identify corrupted, incomplete, or anomalous datasets.
    • Support QA processes before datasets are used for analysis or reporting.
Field Data Analysis
    • Analyze operational logs and mission data to identify trends or anomalies.
    • Investigate system behavior using telemetry and mission outputs.
    • Support root-cause analysis by extracting insights from field datasets.
Client Reporting & Insights
    • Generate clear performance reports and summaries for customers.
    • Translate technical data into understandable insights.
    • Support periodic reporting on autonomy performance and system behavior.
Operational Support
    • Work with Fleet Operations, Rapid Support, and Solution Delivery to investigate field issues.
    • Assist in identifying recurring operational problems from data.
    • Provide validated datasets to engineering teams for debugging.
Process Improvement
    • Improve internal data validation workflows.
    • Support development of automated checks and dashboards.
    • Maintain documentation of datasets, reporting templates, and QA procedures.

Required Qualifications
  • Bachelor's degree in Engineering, Data Science, Computer Science, Statistics, or related field
  • Strong analytical skills with ability to work with messy operational datasets
  • Proficiency in Python, SQL, or similar data analysis tools
  • Experience with data visualization tools (e.g., Tableau, Power BI, Plotly, or similar)
  • Strong problem-solving ability and attention to detail

Preferred Qualifications
  • Experience working with robotics, autonomy systems, IoT, or sensor data
  • Familiarity with time-series data, logs, or telemetry
  • Experience with data pipelines or ETL workflows
  • Experience generating reports for external stakeholders

$75,000 - $115,005 a year
Compensation
The salary range for this role is dependent upon experience. The actual offer for this position will be based on factors such as relevant experience, competencies, certifications, and how well the candidate meets the qualifications outlined above. Part of our compensation package also includes full benefits, equity, and generous time.
Field AI Onsite Work Philosophy
At Field AI, we believe the most effective way to collaborate and solve complex challenges is by working together in person. This is a fully onsite role, and candidates will be expected to work from our Mission Viejo, CA office. In-person engagement is essential to our success, and we offer flexible working hours to support focus and work-life balance.
We are dedicated to fostering a diverse and inclusive workplace and encouraging applicants from all backgrounds to apply.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.