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Statistical Data Analyst Jobs in California (NOW HIRING)

By means of data visualization, statistical analysis, and reporting, you will directly engage several departments to understand their data needs and provide insightful analysis. For someone who ...

Advanced experience with a statistical programming language (Python or R) for in-depth data analysis, statistical modeling, and visualization (using libraries such as Pandas, NumPy, Matplotlib ...

Apply statistical concepts (mean, variance, distributions) to interpret datasets. * Collaborate ... analysis. * Ability to focus on details and explain the "why" behind data outcomes. * Excellent ...

Senior Data Analyst

Los Angeles, CA · On-site

$130K - $150K/yr

Senior Data Analyst Department: Data, Insights and Loyalty Employment Type: Full Time Location: Los ... Apply statistical and predictive modeling techniques to uncover patterns, forecast outcomes, and ...

Data Analyst Location: Looking for candidates in the Bay Area - San Francisco, Sacramento, Oakland ... Collect, cleanse, and analyze large datasets using statistical methods to identify patterns and ...

Data Analyst - Workplace Experience We entertain millions of people across the globe with the most ... Work with program managers and leadership to determine business problems and use statistical ...

Analytical and problem-solving skills Knowledge of statistics and mathematics Experience with ... Data analysts are responsible for gathering data from multiple sources, such as databases, APIs ...

Bachelor's degree in Data Science, Statistics, Computer Science, or related field * 1-3 years of experience in data analysis (preferred) * Strong knowledge of Excel, SQL, and data visualization tools ...

Senior Data Analyst

Los Angeles, CA

$92K - $116K/yr

We are looking for a Senior Data Analyst based in Los Angeles to join our Data & Analytics team. In ... Apply statistical and predictive modeling techniques to uncover patterns, forecast outcomes, and ...

Working knowledge of data and statistical analysis (eg. Cohorted analysis, Campaign Analysis, A/B tests ) * Experience with data visualization tools like Tableau (hands-on experience) * Ability to ...

Qualifications • Master's degree in data science, Statistics, Computer Science, Economics, or a ... Analytics. • Proven ability to lead cross-functional initiatives and influence product and ...

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Statistical Data Analyst information

See California salary details

$29.6K

$69.5K

$116K

How much do statistical data analyst jobs pay per year?

As of Jul 28, 2026, the average yearly pay for statistical data analyst in California is $69,528.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,700.00 and $79,900.00 per year, depending on experience, location, and employer.

What is the difference between Statistical Data Analyst vs Data Scientist?

AspectStatistical Data AnalystData Scientist
Required CredentialsBachelor's in Statistics, Mathematics, or related field; often certifications in data analysisBachelor's or higher in Computer Science, Statistics, or related; often advanced degrees and certifications in machine learning
Work EnvironmentCorporate, finance, healthcare, government; focused on data reporting and analysisTech firms, startups, research; involves data modeling, machine learning, and predictive analytics
Employer & Industry UsageUsed across industries for data reporting and insightsUsed in tech, finance, and research for complex data modeling and predictive tasks

While both roles analyze data, Statistical Data Analysts focus on interpreting data and generating reports, whereas Data Scientists develop models and algorithms to predict future trends. The roles overlap in skills but differ in complexity and scope.

Is 40 too late for data science?

A statistical data analyst can transition into data science at any age, including 40, as the field values skills like programming, statistics, and data visualization which can be learned through online courses and certifications. Many professionals successfully switch careers later in life by gaining relevant experience and building a portfolio of projects.

What are the key skills and qualifications needed to thrive as a Statistical Data Analyst, and why are they important?

To thrive as a Statistical Data Analyst, you need strong quantitative skills, a solid background in statistics or mathematics, and typically a bachelor's or master's degree in a related field. Proficiency with statistical software such as R, SAS, SPSS, or Python, as well as experience with data visualization tools and databases, is essential. Outstanding analytical thinking, attention to detail, and the ability to communicate complex findings clearly make someone stand out in this position. These skills are crucial for accurately interpreting data, providing actionable insights, and supporting effective decision-making within organizations.

What does a Statistical Data Analyst do?

A Statistical Data Analyst is responsible for collecting, processing, and interpreting large sets of data to identify trends, patterns, and insights that inform business decisions. They use statistical techniques and software tools to analyze data, create reports, and present their findings to stakeholders. Statistical Data Analysts often work closely with other teams to support research, improve processes, or solve specific problems using data-driven approaches.

Is statistician a high paying job?

Statisticians and data analysts typically earn competitive salaries, with median wages above the national average depending on experience, education, and industry. Advanced skills in statistical software and data management can lead to higher compensation, especially in sectors like finance, healthcare, and technology.

What is the salary of a statistician data analyst?

The salary of a statistical data analyst typically ranges from $60,000 to $85,000 annually, depending on experience, education, and location. Entry-level positions may start lower, while experienced analysts with advanced skills in statistical software can earn higher salaries.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but the role of a data analyst involves interpreting complex data, providing insights, and communicating findings, which require human judgment and domain knowledge. Therefore, while AI tools enhance efficiency, they are unlikely to fully replace data analysts, who will continue to be essential for strategic decision-making and nuanced analysis.

What are some common challenges Statistical Data Analysts face when interpreting large datasets, and how are these typically addressed in the workplace?

Statistical Data Analysts often encounter challenges such as dealing with incomplete or inconsistent data, managing large volumes of information, and ensuring the accuracy of their analyses. To address these, analysts typically use data cleaning techniques, collaborate closely with data engineers or IT teams to streamline data pipelines, and employ robust statistical methods to minimize errors. Regular team meetings and peer reviews are also common practices to ensure the validity of results and to foster a collaborative problem-solving environment.
What job categories do people searching Statistical Data Analyst jobs in California look for? The top searched job categories for Statistical Data Analyst jobs in California are:
Infographic showing various Statistical Data Analyst job openings in California as of July 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $69,528 per year, or $33.4 per hour.

$90K - $100K/yr

Full-time

Posted 7 days ago


Job description

POSITION SUMMARY

Bandai Namco Entertainment America Inc.'s Data Analyst will support in transforming complex business data into clear, actionable insights that support strategic and operational decisions across the organization. This role serves as a key analytical resource within the Information Systems (IS) team, partnering with cross functional groups—including Finance, Marketing, Operations, and other business units—to ensure data is integrated, modeled, and analyzed effectively in alignment with organizational goals. They will independently support teams extrapolate data, improve data management processes, and support alignment across teams.
This position works within established tools and processes to support data management activities, improve analytical capabilities, and contribute to the organization's evolving data architecture and strategy. The Data Analyst impacts the quality, accuracy, and availability of business data that drives decision making, continuous improvement, and overall system performance.

Join us at our new campus in Irvine, California where a hybrid work schedule will be observed.

ESSENTIAL DUTIES AND RESPONSIBILITIES

  • Responsible for supporting internal departments with data extrapolation, by utilizing database queries and analytics to pull and extrapolate data from various platforms and creating dashboards to process the data.
  • Responsible for various matters regarding data analytics, including supporting the creation of custom analytics and dashboards for teams, use of statistical techniques and analytics tools to assist with data analysis.
  • Presents data analytic findings to the Sr. Director, IS to touch base on the maintenance and improvement of overall data processes.
  • Conducts data integration and database management for use by various units and business processes.
  • Supports the management of relevant data by identifying and interpreting trends in data, and creating and maintaining data models and flows
  • Uses statistical techniques to support generating custom reports and data analysis for other departments
  • Contributes to the creation of data processes, from writing database queries to outlining processes to streamline development needs of developers and project teams.
  • Collaborate with other IT team members and resources to validate and implement strategic data technologies.
  • Perform other duties as assigned.

MINIMUM QUALIFICATIONS

  • 3+ years of increasingly responsible experience in data management
  • Bachelor's degree or equivalent work experience in statistics, data analysis, data mining, computer science or information management
  • Solid knowledge of Microsoft Excel and comfortable working with spreadsheets and complex formulas.
  • Experience in applying statistical methods and procedures to extract data
  • Fluency in SQL and data manipulation within a multi-terabyte cloud environment
  • Experience in all aspects of data management involving large data sets (data gathering, profiling, validation, and analysis).

PREFERRED QUALIFICATIONS

  • Experience with PowerBI or other established BI tools preferred.
  • Experience with cloud technologies such as Azure preferred. 
  • Experience with utilizing AI to facilitate data mining.
  • Familiarity with AI tools such as Copilot, Gemini, and/or Claude.
  • Experience with financial systems preferred. 
  • Python or R experience preferred. 

WORK ENVIRONMENT

In this position, the work environment will necessitate frequent periods of sitting and engaging in computer-related tasks. There will be requirements to stand and/or walk, and this role requires the ability to lift, carry, squat, kneel, bend, or climb at least 10 pounds.

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not intended to be an exhaustive list of all duties, responsibilities, and qualifications of employees assigned to this job.

$90,131.00 – $100,000.00

Actual base salary will be determined based on numerous relevant business and candidate factors including, but not limited to, education, qualifications, certifications, experience, skills, geographic location, and business or organizational needs. The salary range listed is just one component of the total compensation package for employees and it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case.

Pursuant to the California Consumer Privacy Act of 2018, Bandai Namco Entertainment America Inc. is providing the following notice regarding the Personal Information we collect and use in the context of this job application: https://www.bandainamcoent.com/legal/bnea-privacy-ccpanotice

About Bandai Namco Entertainment America Inc.

Bandai Namco Entertainment America Inc., part of the Bandai Namco Group, is a leading global publisher and developer of interactive entertainment for major video game consoles, PC, online, and mobile platforms. The company is known for creating many of the industry's beloved classic franchises such as PAC-MAN®, GALAGA®, TEKKEN®, SOULCALIBUR®, and ACE COMBAT®, and publishing the critically acclaimed DARK SOULS™ series and the blockbuster title ELDEN RING™. Bandai Namco Entertainment America Inc. is also the premier publisher in the Western hemisphere for anime-based video games including GUNDAM™, NARUTO SHIPPUDEN™, DRAGON BALL™, and ONE PIECE®. Bandai Namco Entertainment America Inc. is headquartered in Irvine, California. More information about the company and its products can be found at http://www.bandainamcoent.com.