ZipRecruiter

Log In

1

Data Analytics Masters Jobs in California (NOW HIRING)

Luster National

Reporting Data Scientist

Sacramento, CA · On-site

Project Management Professional (PMP), Microsoft Power BI Data Analyst, Google Data Analytics, MBA, or similar professional certification. * Experience leading analytics initiatives or contributing ...

Swish Analytics

NFL Data Scientist

San Francisco, CA · On-site +1

$140K/yr

Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area * Demonstrated experience developing models at production scale for NFL, CFB, or sports betting for ...

Swish Analytics

Soccer Data Scientist

San Francisco, CA · On-site +1

$130K/yr

Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area * Demonstrated experience developing models at production scale for Soccer , or sports betting for ...

Swish Analytics

NFL Data Scientist

San Francisco, CA

$140K/yr

Masters degree in Data Analytics, Data Science, Computer Science or related technical subject area * Demonstrated experience developing models at production scale for NFL, CFB, or sports betting for ...

next page

Showing results 1-20

All JobsData Analytics Masters JobsData Analytics Masters Jobs in California

Data Analytics Masters information

See California salary details

$23K

$100.2K

$179.2K

How much do data analytics masters jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data analytics masters in California is $100,236.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,160.00 and $130,727.00 per year, depending on experience, location, and employer.

What is the difference between Data Analytics Masters vs Data Analyst?

AspectData Analytics MastersData Analyst
CredentialsTypically requires a master's degree in data science, analytics, or related fieldUsually requires a bachelor's degree in a related field; certifications can enhance prospects
Work EnvironmentAcademic, research, or advanced industry roles; often involves project-based workBusiness environments, working with data to generate reports and insights
Industry UsageUsed in academia, research institutions, and advanced analytics roles in industryCommon across industries like finance, healthcare, marketing, and technology

In summary, a Data Analytics Masters is an advanced qualification often required for specialized or research roles, while a Data Analyst is a more entry-level or mid-level position focused on analyzing data to support business decisions. Both roles share overlapping skills but differ in educational requirements and scope of work.

What are the key skills and qualifications needed to thrive as a Data Analytics professional with a master's degree, and why are they important?

To thrive as a Data Analytics professional with a master's degree, you need strong analytical skills, expertise in statistics, and advanced knowledge of data modeling, typically supported by a relevant STEM degree. Proficiency with tools such as SQL, Python, R, Tableau, and familiarity with machine learning platforms is commonly required, along with certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate. Excellent problem-solving abilities, critical thinking, and effective communication skills help translate complex data findings into actionable business insights. These skills and qualifications are essential for transforming raw data into strategic decisions that drive organizational success.

What is a Data Analytics Masters degree?

A Data Analytics Masters degree is a graduate-level program that focuses on teaching students advanced skills in analyzing, interpreting, and visualizing data to help organizations make data-driven decisions. The program typically covers topics such as statistics, machine learning, data mining, data visualization, and programming languages like Python or R. Graduates are prepared for careers in data science, business analytics, and related fields, where they can apply analytical techniques to solve real-world problems. This degree is ideal for individuals who want to deepen their understanding of data and pursue specialized roles in analytics.

Is 40 too late for data science?

Data Analytics Masters professionals can enter data science at any age, as skills like programming, statistics, and data visualization are learnable later in life. Many successful data scientists start or transition into the field in their 30s or 40s, and continuous learning through online courses and certifications can facilitate this career shift.

What kind of jobs can I get with a master's in data analytics?

A master's in data analytics prepares you for roles such as data analyst, data scientist, business intelligence analyst, and data engineer. These positions involve analyzing large datasets, creating reports, and using tools like SQL, Python, or R to support decision-making in various industries.

What types of real-world projects or collaboration opportunities can Data Analytics Masters expect during their studies?

Data Analytics Masters programs often include hands-on projects where students work with real datasets from industry partners or simulate actual business scenarios. These projects typically involve teamwork, allowing students to collaborate with peers and sometimes with professionals from related fields such as business, engineering, or IT. This collaborative environment helps students develop both technical and communication skills, and provides valuable exposure to industry-standard tools and workflows. Additionally, these experiences can lead to networking opportunities and open doors for internships or job placements upon graduation.

Is a master's in data analytics worth it?

A master's in data analytics can enhance job prospects for data analysts and related roles by providing advanced skills in statistical analysis, programming, and data visualization. It often leads to higher salaries and more senior positions, especially when combined with proficiency in tools like Python, R, and SQL.

What is the average salary for a master data analyst?

The average salary for a master data analyst typically ranges from $70,000 to $100,000 annually, depending on experience, location, and industry. Advanced skills in SQL, data visualization tools, and statistical analysis can influence earning potential.

What is a Data Analytics Masters job?

A Data Analytics Masters job typically involves analyzing large datasets to extract insights that help businesses make data-driven decisions. Professionals in this role use statistics, machine learning, and data visualization tools to interpret trends and patterns. They commonly work in industries like finance, healthcare, marketing, and technology. Strong analytical skills, programming knowledge (e.g., Python, SQL, R), and expertise in data visualization tools (e.g., Tableau, Power BI) are essential.

What are the most commonly searched types of Data Analytics Masters jobs in California? The most popular types of Data Analytics Masters jobs in California are:
What are popular job titles related to Data Analytics Masters jobs in California? For Data Analytics Masters jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Analytics Masters jobs in California look for? The top searched job categories for Data Analytics Masters jobs in California are:
Data Analytics Masters jobs near you
Infographic showing various Data Analytics Masters job openings in California as of July 2026, with employment types broken down into 91% Full Time, 6% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution, with an average salary of $100,236 per year, or $48.2 per hour.
Adjunct Faculty, Data Analytics SOBE

Adjunct Faculty, Data Analytics SOBE

Concordia University Irvine

Irvine, CA

$25 - $30/hr

Full-time

Posted 11 days ago

Job description

Position Summary:

The School of Business and Economics at Concordia University Irvine is seeking applicants for adjunct faculty positions in the Data Analytics Business field. The School is IACBE accredited and strives to develop wise and honorable citizens capable of excelling as witnesses of Christ through their various roles within the academic field and elsewhere. Pursuant to this mission, we seek faculty candidates who can articulate the interconnection between their Christian faith and their academic pursuits.

Essential Duties and Responsibilities include:

Teaching MBA courses face-to-face, conducting office hours, and working with full-time faculty colleagues. MBA courses are generally taught once a week for seven weeks in the evening throughout the year.
Possible course topics encompass a range of data analytics and data analytics related topics from a business perspective teaching the deployment of analytical tools in identifying data needs, accessing data, organizing data and where possible storytelling through graphics.
Primary opportunities include face-to-face offerings in MBA Data Analytic courses such as MBA 608 Business Analytics, MBA 630A Big Data I, MBA 630B Big Data II, and MBA 611 Data Analytics on our Irvine campus where MBA students look to add to their understanding, applicability, and capability of data analytics in the business world rather than developing the competency of a Data Scientist.

Qualification Requirements:

Successful candidates must confess the Christian faith, demonstrate a commitment to a Lutheran liberal arts education, and have demonstrated teaching excellence.
Candidates must also have an earned doctorate or a master's degree in a relevant field with 3+ years of professional experience in the Business Data Analytics area.
Abreast of current industry practices, trends, tools in the data analytics field.
Knowledge of and ability to incorporate Python, Tableau, R, SQL, and Excel into classes.

Pay Range: $25–$30 per hour