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Data Analyst Computer Science Jobs in Temecula, CA

ARM, Inc.

Data Engineering Intern

San Clemente, CA · On-site

$17.75 - $23.25/hr

... analytics. The Data Engineering Intern supports the development of scalable data systems and ... Computer Science Data Engineering Information Systems or a related technical field Hands-on ...

Qeexo, Co.

Data Engineering Intern

San Clemente, CA

$25/hr

... analytics. The Data Engineering Intern supports the development of scalable data systems and ... Computer Science Data Engineering Information Systems or a related technical field Hands-on ...

Alphatec Spine

Clinical Data Specialist II

Carlsbad, CA · On-site

$85K - $98K/yr

In a field of applied research such as Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, or Public Health * 3+ years of experience; Direct experience in clinical research ...

Alphatec Spine

Clinical Data Specialist II

Carlsbad, CA · On-site

$85K - $98K/yr

In a field of applied research such as Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, or Public Health * 3+ years of experience; Direct experience in clinical research ...

Qeexo, Co.

Data Engineering Intern

San Clemente, CA · On-site

$25/hr

... analytics. The Data Engineering Intern supports the development of scalable data systems and ... Currently pursuing a Bachelor's or Master's degree in: • Computer Science • Data Engineering ...

Lancesoft INC

Senior QC Technician

Oceanside, CA · On-site

$30 - $36/hr

Understanding of Data Integrity concepts * Strong analytical, communication, and problem-solving ... Masters degree and 6-9 years experience in Computer Science (Software Development) or Life Science ...

Cisco

Applied AI Scientist

Carlsbad, CA · On-site

Collaborate with engineering, product, and data science teams to understand requirements ... Master Degree in Computer Science, or related quantitative field, plus 2+ years of industry ...

TalentBurst, Inc.

Senior QC Technician

Oceanside, CA · On-site

Understanding of Data Integrity concepts * Strong analytical, communication, and problem-solving ... Masters degree and 6-9 years experience in Computer Science (Software Development) or Life Science ...

BC Forward Asymbl

Senior QC Technician

Vista, CA · On-site

Strong analytical, communication, and problem-solving skills with a proactive approach in ... PhD/JD and 3-6 years in Computer Science or Life Science, or equivalent. Minimum 8 years ...

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All JobsData Analyst Computer Science JobsData Analyst Computer Science Jobs in Temecula, CA

Data Analyst Computer Science information

See Temecula, CA salary details

$33.8K

$82.1K

$135.1K

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

As of Aug 20, 2026, the average yearly pay for data analyst computer science in Temecula, CA is $82,103.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,100.00 and $96,400.00 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 Temecula, CA are hiring for Data Analyst Computer Science jobs?

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

Data Analyst Computer Science jobs near you

Data Engineering Intern

ARM, Inc.

San Clemente, CA • On-site

$17.75 - $23.25/hr

Other

This job post has expired today. Applications are no longer accepted.

Job description

TDK SensEI is transforming how sensor data is collected, processed, and leveraged powering intelligent, data-driven decision-making across
industrial environments. As a pioneer in automated machine learning for edge devices and a subsidiary of TDK Corporation, a global leader in sensor technology, SensEI operates at the forefront of industrial AI and analytics.
The Data Engineering Intern supports the development of scalable data systems and infrastructure that power our machine learning-based
equipment monitoring platform. In this role, the intern will work with large-scale sensor datasets, cloud-based technologies, and modern data
pipelines, while collaborating closely with software and machine learning engineers to enable advanced analytics and AI applications.
This internship provides hands-on experience in building production-ready data systems within a fast-paced, innovative environment.
KEY RESPONSIBILITIES
Build, maintain, and optimize ETL/ELT pipelines for processing sensor and operational data
Develop data workflows and automation using Python, SQL, and AWS services
Support data ingestion, transformation, validation, and monitoring processes
Work with structured and semi-structured data from cloud and edge-based systems
Collaborate with software and ML engineers to prepare datasets for analytics and machine learning models
Assist with integration and optimization of OLTP and OLAP systems
Troubleshoot pipeline issues and contribute to improvements in data reliability and performance
ADDITIONAL RESPONSIBILITIES
Create and maintain documentation, including data flows, system diagrams, and technical specifications
Participate in code reviews and adhere to engineering best practices
Support initiatives to improve data quality, observability, and operational efficiency
Contribute to continuous improvement of data infrastructure and workflows
Other Duties:
Perform other related duties and ad hoc projects as assigned to support departmental and organizational goals.
Workplace Safety: Maintain awareness of and follow all workplace safety guidelines and promote a culture of well-being.
Quality and Compliance: Ensure work is performed in accordance with established quality control and assurance processes.
Ethics and Integrity: Adhere to the company's Values and Code of Conduct and uphold the highest standards of honesty, integrity, and ethical behavior in all business activities.
QUALIFICATIONS
Education/Experience:
Currently pursuing a Bachelor's or Master's degree in:
Computer Science
Data Engineering
Information Systems
or a related technical field
Hands-on experience with Python and SQL
Exposure to data pipelines, ETL/ELT processes, or data warehousing concepts
Familiarity with relational and/or analytical databases (e.g., PostgreSQL, MySQL, Redshift)
Exposure to cloud platforms, preferably AWS
Knowledge/Skills/Abilities
Strong foundation in Python programming and SQL/database fundamentals
Basic understanding of data engineering concepts, including pipelines, transformation, and storage
Familiarity with cloud computing and distributed systems
Analytical mindset with strong problem-solving capabilities
Ability to quickly learn new tools, technologies, and frameworks
Strong attention to detail and commitment to data accuracy and quality
Effective communication skills, both written and verbal
Ability to collaborate in cross-functional team environments
Preferred / Bonus Qualifications
Experience with workflow orchestration tools (e.g., Apache Airflow)
Familiarity with AWS services such as S3, Lambda, Glue, or Redshift
Exposure to Docker, Linux, or shell scripting
Understanding of OLTP vs. OLAP systems
Experience with data lakes, data warehousing, or analytics platforms
Interest in machine learning and data-driven systems
Experience with Git or version control systems

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