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Associate Degree In Data Analytics Jobs in Irvine, CA

Hireblazer

Senior Data Scientist

Irvine, CA · On-site

Bachelor's Degree (Minimum Education Requirement). Strong hands-on skills in Data Analytics and ML-Ops. Ability to turn state-of-the-art research into production-level code. Experience developing ...

Munich Re

Data and AI Enterprise Architect

Anaheim, CA · On-site

This position is based in the USA and ensures that Data, Analytics, and AI architecture vision ... Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Mathematics ...

Munich Re

Data and AI Enterprise Architect

Corona, CA · On-site

This position is based in the USA and ensures that Data, Analytics, and AI architecture vision ... Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, Mathematics ...

CHOC

Associate VP, Philanthropy Data Analytics

Orange, CA · On-site

$138.76 - $277.51/hr

Bachelor's degree in Information Systems, Data Science, Business Analytics, Computer Science or a related field, or equivalent professional experiencePreferred:Master's Degree**Training** • ...

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Associate Degree In Data Analytics information

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

As of Aug 22, 2026, the average monthly pay for associate degree in data analytics in Irvine, CA is $6,752.25, according to ZipRecruiter salary data. Most workers in this role earn between $6,125.00 and $7,200.00 per month, depending on experience, location, and employer.

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.

What are the key skills and qualifications needed to thrive with an associate degree in data analytics?

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.

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 an associate degree in data analytics worth it?

An associate degree in data analytics provides foundational skills in data collection, analysis, and visualization, which can qualify individuals for entry-level roles such as data technician or junior analyst. It is a cost-effective way to gain relevant knowledge and may lead to further certifications or education to advance in the field.

What can you do with an associate degree in data analytics?

An associate degree in data analytics prepares individuals for roles such as data analyst, data technician, or business intelligence assistant. These positions involve collecting, processing, and analyzing data using tools like Excel, SQL, and visualization software to support decision-making in various industries.

What are popular job titles related to Associate Degree In Data Analytics jobs in Irvine, CA?

For Associate Degree In Data Analytics jobs in Irvine, CA, the most frequently searched job titles are:

What job categories do people searching Associate Degree In Data Analytics jobs in Irvine, CA look for?

The top searched job categories for Associate Degree In Data Analytics jobs in Irvine, CA are:

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Cities near Irvine, CA with the most Associate Degree In Data Analytics job openings:

Associate Degree In Data Analytics jobs near you

Senior Data Analytics Developer

Living Spaces

La Mirada, CA • On-site

$109K - $146K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago

Living Spaces rating

7.2

Company rating: 7.2 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

19th of 63 rated furniture retailers

Job description

Position Summary
The Senior Data Analytics Developer will play a crucial role in ensuring relevant, timely, and actionable business integrations for Living Spaces. They will take charge of designing, testing, and maintaining data integration, data transformation, and data quality processes while maximizing efficient use of Living Spaces data across teams and platforms.
Position Description
Essential Duties and Responsibilities include the following. Other duties may be assigned.
  • Architect, build, and launch intuitive data models that provide actionable insights for stakeholders across Living Spaces.
  • Determine the optimal data architecture to ensure seamless data integration, distribution, and analysis for Living Spaces' business data domains, including Marketing, Finance, Sales, Logistics, Support, and more.
  • Build highly efficient and reliable data pipelines to move large and small data amounts from Living Spaces' Data Warehouse/Retail Systems to downstream databases and data marts for analysis.
  • Develop, implement, and maintain complex integrations from external cloud sources to internal systems using a variety of tools and platforms.
  • Use multiple cloud-based API's to establish data connections and ensure their security and integrity.
  • Work across multiple teams in high visibility roles and own the solution end-to-end.
  • Organize, mine, and analyze massive structured and unstructured data sets to identify trends, patterns, and insights that assist in making critical decisions for Living Spaces.
  • Develop and optimize the business metrics data layer for scalability, reliability, and resilience.
  • Translate algorithms (graph theory, Map/Reduce, recursion, and other areas) into working prototype code effectively and efficiently.
  • Develop strategies to extract, resolve, and unify information from various disparate data sources to ensure cohesive integration with external business applications.
  • Create algorithms and heuristics to extract information from large data sets and implement the resulting algorithms in software/scripts.
  • Be a thought - leader in analytics/data science with respect to entity resolution as it pertains to Living Spaces business goals.
  • Explore data in an unstructured environment and discover meaningful trends that drive business value for Living Spaces.
  • Use SQL Server Integration Services (SSIS) to build high-performance data integration solutions, including extraction, transformation, and loading (ETL) packages for data warehousing.

Qualifications
Education/Experience: The ideal candidate for this position should have a Bachelor's degree (B. A. or B. S.) in computer science or engineering or related field, along with 5+ years of diverse experience in designing innovative data solutions for business analytics. They should also have proven experience in managing workflows from architecture to delivery in an Agile framework. Additional knowledge of different database technologies beyond RDBMS, vendor/solution capabilities in data management and reporting/analytics - data federation, big data, data quality, Business Intelligence, etc., and writing complex SQL queries in a data warehouse environment. They should also have experience BI and dashboarding/reporting tools, including Tableau, Alteryx, etc. The equivalent combination of education and experience will also be considered.
Computer Skills: The candidate must have advanced proficiency in expert coding skills across several languages and cutting-edge technologies, including SQL, Python, Java, JavaScript, PHP, and .NET/C# framework. Being knowledgeable in XML, Dynamics AX 2012, Dynamics CRM, Amazon AWS, Microsoft Azure, Microsoft Data Lake and Data Warehouse migration skills will be a plus.
Position Hiring Range
The hiring pay range provides a good faith estimate of the salary or hourly wage that Living Spaces expects to pay for the position upon hire. Pay will be determined by several factors, including, but not limited to: applicant's education, relevant work experience, knowledge, applicable and relevant skills and abilities, market demand, Company budget, as well as internal equity and alignment with geographic market data. Living Spaces reserves the right to modify this page at any time.
Compensation: $109,575.00 - $146,100.00
Overtime pay is available for eligible, non-exempt Team Members. Reimbursement for expenses as required by applicable law and Company policy. Retail, Guest Services and Distribution Center Team Members are eligible to receive team bonus based on meeting specific goals and KPI's.
Additional available benefits upon meeting eligibility requirements include:
  • Medical (full-time only)
  • Dental (full-time only)
  • Vision (full-time only)
  • 401(k) with Company match (full and part-time)
  • Vacation (full-time only or as otherwise required by applicable law)
  • Paid Sick Leave (full and part-time)
  • Flex or Health Spending Account (for eligible full-time only)
  • Employee Assistance Program (full and part-time)
  • Holiday pay (full-time only)
  • Life insurance (full-time only)

For more details, please visit our website at: Careers (livingspaces.com)
Equal Opportunity Employer
It is our policy to abide by all federal, state, and local laws prohibiting employment discrimination based solely on a person's race, color, religious creed, sex, national origin, ancestry, citizenship status, pregnancy, physical disability, mental disability, age, military status, or status as a Vietnam-era or special disabled veteran, marital status, registered domestic partner or civil union status, gender (including sex stereotyping and gender identity or expression), medical condition (including but not limited to, cancer related or HIV/AIDS related), sexual orientation, or any other protected status except where a reasonable, bona fide occupational qualification exists.
E-Verify
Living Spaces participates in E-Verify. All newly-hired team members are queried through this electronic system established by the Department of Homeland Security (DHS) and the Social Security Administration (SSA) to verify their identity and employment eligibility.
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