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Associate Degree In Data Analytics Jobs in California

Samsung SDS

Data analytics architect

San Jose, CA

Collaborate with business analysts and data scientists in eliciting and articulating solution ... Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required ...

Samsung SDSA

Data analytics architect

San Jose, CA · On-site

Qualifications Responsibilities : • Collaborate with business analysts and data scientists in ... Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required ...

Samsung SDSA

Data analytics architect

San Jose, CA · On-site

San Jose, CA Qualifications Responsibilities: • Collaborate with business analysts and data ... Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required ...

Chemelex

Data Analytics Intern

Redwood City, CA · On-site

$24/hr

Currently pursuing a Bachelor's degree in Data Analytics, Statistics, Computer Science, Industrial Engineering, or related field * Strong analytical and problem-solving skills with ability to work ...

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All JobsAssociate Degree In Data Analytics JobsAssociate Degree In Data Analytics Jobs in California

Associate Degree In Data Analytics information

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$3.2K

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$8.9K

How much do associate degree in data analytics jobs pay per month?

As of Jun 28, 2026, the average monthly pay for associate degree in data analytics in California is $6,208.25, according to ZipRecruiter salary data. Most workers in this role earn between $5,633.33 and $6,616.67 per month, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive with an Associate Degree in Data Analytics, and why are they important?

To thrive with an Associate Degree in Data Analytics, you need strong analytical thinking, data interpretation, and foundational statistics knowledge, typically supported by coursework in mathematics and computer science. Familiarity with tools such as Excel, SQL, and data visualization platforms like Tableau or Power BI is often required. Attention to detail, problem-solving, and clear communication are standout soft skills for conveying insights and collaborating with stakeholders. These skills ensure effective data-driven decision-making and the ability to translate complex data into actionable business solutions.

Is an associate's degree in data analytics worth it?

An associate's degree in data analytics provides foundational skills in data management, statistical analysis, and tools like Excel and SQL, which can help entry-level data analyst roles. It can be a cost-effective way to enter the field, but career advancement may require additional certifications or a bachelor's degree for higher-level positions.

What careers can you get with a data analytics degree?

An associate degree in data analytics can lead to roles such as data analyst, business analyst, or data technician. These positions involve analyzing data sets, creating reports, and supporting decision-making using tools like Excel, SQL, and data visualization software. Entry-level positions often require strong analytical skills and familiarity with data management tools.

What types of entry-level positions can someone with an Associate Degree in Data Analytics typically pursue, and what do those roles involve on a daily basis?

Graduates with an Associate Degree in Data Analytics are often well-suited for roles such as data technician, junior data analyst, or business intelligence assistant. In these positions, daily tasks typically include collecting, cleaning, and organizing data, generating basic reports, and supporting senior analysts with data visualization and simple statistical analyses. Teamwork is common, as you'll often collaborate with IT staff, managers, and other analysts to ensure data integrity and deliver actionable insights to various departments. These roles offer valuable exposure to real-world datasets and analytics tools, laying a strong foundation for career growth or further education.

What is the difference between Associate Degree In Data Analytics vs Data Analyst?

AspectAssociate Degree In Data AnalyticsData Analyst
Required CredentialsAssociate degree, certifications in data toolsBachelor's degree often preferred, certifications beneficial
Work EnvironmentEntry-level, data-focused roles in various industriesOffice settings, tech companies, finance, healthcare
Employer & Industry UsageEmployers seeking foundational data skillsEmployers requiring data interpretation and reporting

The Associate Degree In Data Analytics provides foundational skills suitable for entry-level data roles, while Data Analysts typically have a bachelor's degree and more experience in analyzing and interpreting data. Both roles are common in various industries, but Data Analysts often take on more complex projects and responsibilities.

Is a degree in data analytics worth it?

A degree in data analytics can be valuable for roles like data analyst or data scientist, as it provides foundational knowledge in statistics, programming, and data visualization tools. It can improve job prospects and earning potential, especially when combined with practical experience and certifications in tools like Excel, SQL, or Python.

What can you do with an associate's in data analytics?

An associate's degree in data analytics prepares individuals for roles such as data analyst, data technician, or business intelligence assistant. Graduates can work with tools like Excel, SQL, and data visualization software to interpret data, support decision-making, and improve business processes.

What is an Associate Degree in Data Analytics?

An Associate Degree in Data Analytics is a two-year undergraduate program that provides foundational knowledge and skills in data analysis, statistics, and data management. Students learn how to collect, process, and analyze data to support decision-making in various industries. The curriculum typically includes courses in mathematics, programming, database management, and business analytics. Graduates are prepared for entry-level positions such as data technician, junior data analyst, or may choose to continue their education with a bachelor's degree in a related field.
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Associate Degree In Data Analytics jobs near you
Data analytics architect

Data analytics architect

Samsung SDS

San Jose, CA

Full-time

Posted 20 days ago

Samsung SDS America rating

6.8

Company rating: 6.8 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

133rd of 206 rated it services

Job description

Company Description

Our Employees Are Among The Most Talented People In Their Fields And The Key To Our Success

At Samsung, we encourage our employees to showcase their talent through our diverse corporate culture. Our strength is our people. Each individual makes an impact to the company and plays a vital role in contributing to the company's success. Our employees are motivated and passionate. We foster innovative thinking through an enthusiastic work environment. Through synergistic collaboration with other brilliant minds, we build some of the most advanced technology.

In order to retain our talented workforce, we provide an excellent benefits package. We encourage a healthy work-life balance so that our employees are satisfied and more productive. We focus on developing our employees by providing them with the right tools and empowering them to succeed. Employee development is a key component of the continuing growth of our business. Our employee development programs help to create a workforce that is well-rounded.


Job Description

We are seeking a senior software architect with at least 8 years of experience in designing scalable, distributed systems to join the Data Analytics Team. This role is expected to provide architectural guidance to the analytics team as it builds and evolves a Big Data Platform, and as analytics solutions are instantiated on top of the platform. The architect is expected to be self-driven, take charge in identifying and fixing problems, and excel in a fast changing, growing environment.

Qualifications

Responsibilities:

Collaborate with business analysts and data scientists in eliciting and articulating solution requirements; 

Design scalable data analytics platform and solutions;

Make architectural decisions for the data analytics platform and solutions;

Assess, benchmark and select data analytics technologies to be added to the big data platform;

Support development lead in determining architecturally significant requirements for data analytics solutions;

Design big data platform API;

Provide guidance and mentor developers in the data analytics team;

Skills:

Required

In-depth knowledge on the Hadoop stack (Map reduce, HDFS, Hive, Pig, Zookeeper);

Experience with Business Intelligence frameworks and ETL tools;

Proficiency in the Java programming language;

Proficiency in the Unified Modeling Language;

Experience with RDBMS and SQL;

Experience architecting systems following the REST architectural style;

Experience with machine learning methods and libraries (e.g. Weka, Mahout, Sci-kit);

Practical experience with the Scala programming language (desirable);

Practical experience with the Play web framework (desirable);

High-level knowledge on the Spark eco-system;

B.Sc. degree in Computer Science, Engineering, Mathematics, Statistics or related field is required



Additional Information

Tanya Danylevska

HR - talent acqusition

Samsung SDSA

[email protected]

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