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Associate Degree In Data Analytics Jobs in California

Bachelor's degree in Data Analytics, Computer Science, Statistics, Healthcare Administration, or a related field. Master's degree preferred. * 8+ years in Data Analytics/Business Intelligence, with ...

We are seeking a Data Scientist - Analytics to join our team and help bridge the gap between ... Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Economics ...

Santa Clara, CA (Onsite) Duration: Full Time and Contract Need profiles with Strong SQL, Tableau & Data Analytics (Instead of Data Analyst), Databricks and AWS and Python 1.    Strong in ...

Data Analyst

Foster City, CA Β· Hybrid

$33 - $68/hr

Bachelor's degree in Data Analytics, Statistics, Mathematics, Computer Science, Business Analytics, or a related field * 3+ years of experience in data analysis, business intelligence, or analytics ...

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 ...

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Associate Degree In Data Analytics information

See California salary details

$3.2K

$6.2K

$8.9K

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

As of Sep 13, 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 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 California?

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

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

The top searched job categories for Associate Degree In Data Analytics jobs in California are:

What cities in California are hiring for Associate Degree In Data Analytics jobs?

Cities in California with the most Associate Degree In Data Analytics job openings:

Associate Director, Data & Analytics

Woodland Hills, CA β€’ On-site

$90K - $120K/yr

Other

Posted 4 days ago


Job description

Associate Director, Data & Analytics


Job Summary


Searching for a highly motivated individual to elevate and maintain our marketing analytics offering within the Data & Analytics team at Bloom Ads, to serve our fast-growing client base. Our clients are constantly evolving, and optimizing, we need to create smart models which help them make the best decisions possible with their marketing spend.
The AD will manage a team and assist in the development of new and existing statistical models aimed at driving the maximum business results for our clients. The role will also require hands-on programming skills and model development as well as a creative mindset.


The Associate Director Data & Analytics plays a crucial role in executing, managing, and optimizing advertising campaigns across various platforms.


This role requires a blend of technical expertise, analytical skills, and attention to detail to ensure seamless campaign delivery and performance.  Prior experience working at a marketing agency or advertising consulting firm leading marketing analytic engagements and development is required.
Analytic engagements can include (but are not limited to) dashboard measurement development, in-market testing, campaign measurement, determining marketing effectiveness and ROI, customer journey analytics, CRM, digital analytics (website, mobile, app and social media), forecasting, financial analysis, user-level analysis. Knowledge of statistical analysis and tools like Python or SQL, **familiarity with marketing platforms data and terminology is required. ** In addition to the technical aspects required, it will involve cultivating and maintaining effective working relationships with a variety of parties including the clients, internal stakeholders, 3rd-party vendors, external clients, and operational areas within Bloom Ads.  This is a high growth and visibility role in a highly dynamic and fast paced industry.


This is an in-office position based in our Woodland Hills office.

Key Responsibilities:


  • Manage and mentor a growing and diverse team of analysts
  • Create and elevate current analytics methodology, build a replicable statistical framework to rollout across multiple clients
  • Develop, train, production-alize new models to be used to media optimization and driving client business
  • Working closely with clients, account, and media teams to assess business and marketing challenges, discuss the possible solutions, and execute a plan.
  • Oversee team modeling outputs and inputs, working with cross functional teams to assure data processes are automated and efficient
  • Build marketing mix modeling, diminishing returns analysis and campaign test design to assess and inform client return on media investment
  • Spearhead new analytical initiatives to drive actionable insights for our clients
  • Role will report directly to the VP, Advanced Analytics with a dotted-line reporting to that client vertical.


Who You Are/ Requirements


  • Master’s degree in a mathematical or quantitative discipline (Statistics, Economics, Predictive Analytics, etc.).  5+ years or more experience in data & analytical functions in an agency/ consulting environment with at least three years of team management experience
  • Proficiency with statistical analysis tools such as Python and R, as well as database (SQL)
  • Experience with DTC and data heavy clients is a must
  • Ability to develop proprietary statistical models, design A/B tests, execute Marketing Mix Models and multi-touch attribution algorithms
  • Ability to both get the hands dirty with data and communicate with clients on their business questions
  • Familiarity of changing landscape of ad tech within Ad Servers (DCM), DSPs (TTD, DV360), SEM
  • Managing 2-3 junior analytics’ members


Skills & Experience Required


  • 4-6 years of experience required in the Advanced Analytics realm, preferably in media or an adjacent field.
  • Bachelor's degree in mathematics, statistics, data science or related field
  • 2-4 years of experience managing teams required.
  • Advanced degree required or comparable knowledge of statistics and mathematics
  • High-end marketing response modeling expertise, models which determine the Cost per Acquisition or Return on Investment of marketing expenditures.
  • Proven effectiveness in managing business relationships.
  • Experience in fast-paced environment, possessing the ability to work on multiple projects simultaneously.
  • Deep expertise in advertising platforms and/or the ad tech industry preferred.
  • Media Mixed Modeling necessary
  • Programming/scripting experience a must (R, Python), must have expertise in data wrangling as well as regression and machine learning functions.
  • General Business Intelligence software expertise (SQL).
  • Ability to be client facing and translate technical subject matter into relatable business terminology and respond to unexpected questions on the spot.
  • Creative thinker that is willing to challenge the norm to improve analytic processes.
  • Proactive individual with strong problem-solving skills and an entrepreneurial spirit.


Skills Preferred:


  • Master's Degree in mathematics, statistics, data science or related field.


Additional Notes:


This role may involve collaboration with multiple teams, including account management, creative, analytics, ad ops, and sales, to ensure successful campaign execution.
Adaptability and the ability to thrive in a fast-paced, dynamic environment are essential for this role.

Certification or familiarity with industry-standard tools and platforms can be advantageous (Google Ads certification, Facebook Blueprint, etc.).

About Bloom Ads

Bloom Ads is a rapidly growing advertising agency that combines world-class media capabilities with cutting-edge statistics. We create innovative, cross-channel media plans tailored to deliver measurable results for our clients. Our collaborative culture prioritizes employee well-being and intellectual curiosity.

We are looking for team players eager to make an impact—on our clients, our company, and their own careers. If you thrive in a dynamic environment that encourages creativity and innovation, Bloom Ads is the place for you.

Join our certified women-owned, fully-integrated media agency specializing in building custom-crafted, cross-channel media plans focused on innovation, creativity, and measurable results.

Additional Information
The job description is intended to convey information essential to understanding the scope of the position and is not exhaustive. Duties may be modified or added based on the needs of the organization.

Travel to and from client and vendor sites in a personal vehicle is required in this position. The preceding functions have been provided as the types of work performed by the employees assigned to this job classification. Management reserves the right to add, modify, change, or rescind the work assignments of different positions and to make reasonable accommodations so that qualified employees can perform the essential functions of the job. This job description does not promise or imply that the functions listed are the only duties to be performed or that the position may not change or be eliminated; the responsibilities are many, various, and not limited to those written in this document.