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Data Analyst Computer Science Jobs in San Clemente, CA

Data Analyst - IT

Santa Ana, CA · On-site

$93.60 - $127.46/hr

Data Analyst - IT Full Time Professional Santa Ana, CA, US 6 days ago Requisition ID: 2440 Salary ... Bachelor's degree in a quantitative or technical field (e.g., Computer Science, Statistics ...

Bachelor's degree in a sciences or engineering discipline or similar field or an equivalent combination of education plus work experience. 1+ years of experience in data analysis, preferably in a ...

... computer vision, sensor fusion, and networking technology to the military in months, not years ... Science, Software Engineering or related field. Master's degree preferred (either MBA or MS of ...

Data Analyst III

Irvine, CA · On-site

$92K - $143K/yr

The Data Analyst III turns data into insights that inform decisions and drive profit. The Data ... Works closely with internal customers such as DBAs, Data Scientists, and other business ...

The Data Analyst III turns data into insights that inform decisions and drive profit. The Data ... Works closely with internal customers such as DBAs, Data Scientists, and other business ...

The Data Analyst III turns data into insights that inform decisions and drive profit. The Data ... Works closely with internal customers such as DBAs, Data Scientists, and other business ...

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Data Analyst Computer Science information

See San Clemente, CA salary details

$35.8K

$87K

$143.2K

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

As of Aug 26, 2026, the average yearly pay for data analyst computer science in San Clemente, CA is $87,043.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,800.00 and $102,200.00 per year, depending on experience, location, and employer.

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.

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.

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.

Can I be a data analyst with computer science?

Yes, a background in computer science provides a strong foundation for a data analyst role, as it covers programming, data structures, and problem-solving skills. Data analysts often use tools like SQL, Excel, and statistical software, and a knowledge of programming languages such as Python or R is beneficial for data manipulation and analysis.

What cities near San Clemente, CA are hiring for Data Analyst Computer Science jobs?

Cities near San Clemente, CA with the most Data Analyst Computer Science job openings:

Data Analyst - IT

Santa Ana, CA • On-site


Goodwill
Non-Profits • 51 - 200 employees

5.3

Company rating: 5.3 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

684th of 781 rated non-profit organizations

Paid breaks

Respectful managers

Uninterrupted breaks


$93.60 - $127.46/hr

Other

Posted 8 days ago


Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Data Analyst - IT

Full Time Professional Santa Ana, CA, US

6 days ago Requisition ID: 2440

Salary Range: $93,600.00 To $127,462.00 Annually

NOTE: Maximum range is provided as an example of the wage/salary range for each position and its earning capacity given factors such as time in position, longevity with the company education level, and performance experience. New employees should expect to enter at the minimum to midrange level, and not the cap which is for employees with tenure and above level skill sets in that position.

Purpose of Position

The purpose of this position is to oversee the Organization’s data collection, trend analysis and reporting on outcomes measurement tools. Acts as advisor to Senior Leadership Team regarding metrics data management. Coordinates and provides training reporting to Leadership Team. May also prepare dashboards for Board Members. Works collaboratively across departments on the development of dashboards, Power Bi cards, statistics and marketing materials. This position may also work on other projects as assigned.

Supervision Received

Reports directly to the Vice President of Information Technology.

Supervision Exercised

None.

Minimum Job Requirements
  • Bachelor's degree in a quantitative or technical field (e.g., Computer Science, Statistics, Mathematics, Economics, Information Systems, Business Analytics), or equivalent professional experience.
  • Minimum 2+ years of professional experience in a data analyst, business intelligence, or analytics engineering role.
  • Strong proficiency writing SQL against relational databases, including joins, window functions, CTEs, and query performance tuning.
  • Demonstrated experience building reports and dashboards in Microsoft Power BI, including data modeling and DAX.
  • Working proficiency in Python for data manipulation and analysis (e.g., pandas, NumPy).
  • Hands-on experience designing or maintaining data pipelines in Azure Data Factory (or a comparable ETL/ELT tool).
  • Experience working with Azure SQL or other Microsoft SQL Server environments.
  • Minimum two years relevant experience in Data Analyst or similar environment preferred.
  • The ability to design, build, and maintain data pipelines in Azure Data Factory to ingest data from point of sales, production, ecommerce, and other systems.
  • The ability to develop and optimize SQL queries, stored procedures, and views against Azure SQL databases.
  • The ability to use Python and SQL to conduct ad-hoc analysis, data exploration, and automation of recurring tasks.
  • The ability to monitor data pipelines for errors, latency, and data quality issues; troubleshoot and remediate as needed.
  • Excellent interpersonal communication skills such as courtesy, sensitivity, politeness, and thoughtfulness in order to interact with all levels of management, employees, program participants, and the public.
  • Ability to write accurate, concise, grammatically correct letters, memos, reports, etc.
  • Proficient PC skills including current versions of Microsoft Office and Excel.
  • Valid California driver’s license, liability insurance, and a DMV record acceptable to Goodwill's insurance company.
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