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Customer Service Data Analyst Jobs in California

Workplace Experience Is Focused On Services And Programs That * Directly impact employee ... Customer-centric skills - able to engage with business and IT partners to discover requirements for ...

Data Analyst

San Francisco, CA · On-site +1

$130K - $200K/yr

Cardless is looking for a Data Analyst / Senior Data Analyst to join our team and help shape the ... customer lifecycle (applications, onboarding, transactions, servicing, fraud, and rewards)

Data Analyst

Riverside, CA · On-site

$142K/yr

Data Analyst Job Category: Information Technology Time Type: Full time Minimum Clearance Required ... As a valued team member, you'll be part of a high-performing group dedicated to our customer ...

Data Analyst

San Francisco, CA · On-site

$130K - $200K/yr

Cardless is looking for a Data Analyst / Senior Data Analyst to join our team and help shape the ... customer lifecycle (applications, onboarding, transactions, servicing, fraud, and rewards)

Data Analyst

Riverside, CA · On-site

$142K/yr

Data Analyst Job Category: Information Technology Time Type: Full time Minimum Clearance Required ... As a valued team member, you'll be part of a high-performing group dedicated to our customer ...

Data Analyst

Riverside, CA · On-site

$142K/yr

Data Analyst Job Category: Information Technology Time Type: Full time Minimum Clearance Required ... As a valued team member, you'll be part of a high-performing group dedicated to our customer ...

Data Analyst

Valencia, CA · On-site

$70K - $90K/yr

... services while focusing on customer satisfaction and employee achievement. We are dedicated to ... Shield HealthCare is looking for a Data Analyst in our Valencia, CA corporate office to support ...

Data Analyst LOCATION: San Bruno- CA Duration: 6 Months Rate: DOE Description: Description: Job ... Industry experience preferably in Payments, Risk, Financial Services would be a plus • Advanced ...

Senior Data Analyst

Los Angeles, CA

$92K - $116K/yr

Identify opportunities for optimization, customer segmentation, and targeting across the supported ... service, data-driven decision making. * Build strong relationships with business stakeholders ...

Data Analyst

San Francisco, CA · On-site +1

$85K - $110K/yr

Build executive-ready dashboards, analyses, and self-service reporting that improve decision making ... support our customers, and inspires change for the better. We're building a culture where ...

New

Senior Data Analyst

Los Angeles, CA · On-site

$92K - $116K/yr

Identify opportunities for optimization, customer segmentation, and targeting across the supported ... service, data-driven decision making. * Build strong relationships with business stakeholders ...

Data Analyst

San Jose, CA · On-site

$90K - $110K/yr

... customers worldwide. We are the #5 fastest growing company among the Silicon Valley Top 50 ... Experience with SSRS (SQL Server Reporting Services). * Familiarity with version control (Git) for ...

They provide consumer-facing eCommerce experiences and high traffic CRM for our Coach network users ... Analyze data to determine requirements for a migration and updating of user data from one set of ...

Showing results 21-40

Customer Service Data Analyst information

See California salary details

$14

$29

$47

How much do customer service data analyst jobs pay per hour?

As of Sep 12, 2026, the average hourly pay for customer service data analyst in California is $29.30, according to ZipRecruiter salary data. Most workers in this role earn between $20.62 and $35.10 per hour, depending on experience, location, and employer.

What is a customer service data analyst?

Customer Service Data Analysts are professionals who collect, analyze, and interpret data related to customer interactions and support operations. They use data-driven insights to identify trends, measure performance, and recommend improvements to enhance customer satisfaction. Their work helps companies optimize their customer service processes, reduce response times, and improve overall service quality. Typically, they work closely with customer service teams, management, and IT departments to implement data-backed solutions.

What are the key skills and qualifications needed to thrive as a customer service data analyst?

To thrive as a Customer Service Data Analyst, you need strong analytical skills, a background in statistics or a related field, and experience with customer service metrics. Familiarity with data analysis tools such as Excel, SQL, Tableau, or Power BI, as well as knowledge of CRM systems, is typically required. Excellent communication, problem-solving, and attention to detail are standout soft skills for this position. These skills and qualities enable analysts to interpret data accurately, provide actionable insights, and drive improvements in customer service operations.

How does a customer service data analyst typically collaborate with customer support teams to improve service quality?

Customer Service Data Analysts work closely with customer support teams by analyzing data from various channels—such as call logs, chat transcripts, and customer feedback—to identify trends and areas for improvement. They regularly present actionable insights to support team leads and management, helping to refine processes, training, and resource allocation. This collaboration ensures that data-driven strategies are implemented to enhance customer satisfaction and operational efficiency.

What is the difference between Customer Service Data Analyst vs Customer Support Specialist?

AspectCustomer Service Data AnalystCustomer Support Specialist
Required CredentialsBachelor's in Data Analysis, Business, or related field; proficiency in data toolsHigh school diploma or equivalent; customer service training
Work EnvironmentOffice setting, working with data and analytics toolsCall centers, retail, or online support channels
Employer & Industry UsageBusinesses analyzing customer data to improve servicesCompanies providing direct customer support and assistance
Common Search & ComparisonFocuses on data analysis of customer interactionsFocuses on direct customer communication and issue resolution

The main difference is that a Customer Service Data Analyst specializes in analyzing customer data to identify trends and improve service strategies, while a Customer Support Specialist handles direct customer interactions to resolve issues. Both roles are essential in customer service but focus on different aspects of the customer experience.

Is a customer service data analyst a high paying job?

Customer service data analysts typically earn salaries that are competitive within the data analysis field, with pay varying based on experience, location, and industry. They often require skills in data visualization tools and statistical software, which can influence earning potential. Overall, it is considered a well-paying role compared to entry-level customer service positions.

What is data analysis in customer service?

Data analysis in a customer service context involves examining customer interactions, feedback, and support data to identify patterns, trends, and issues. Customer Service Data Analysts use tools like Excel or specialized software to improve service quality, resolve recurring problems, and enhance customer satisfaction through data-driven insights.
Infographic showing various Customer Service Data Analyst job openings in California as of August 2026, with employment types broken down into 1% As Needed, 74% Full Time, 20% Part Time, and 5% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $60,947 per year, or $29.3 per hour.

Data Analyst

Sacramento, CA • On-site

$100K - $115K/yr

Full-time

Posted 9 days ago


Job description

Description:

SUMMARY: The Data Analyst is a full-time staff position within California Mental Health Services Authority (CalMHSA) and is responsible for the entire lifecycle of data analysis – including validating and visualizing data from electronic health records and other sources. This role requires expertise in the technical and functional aspects of data analysis and interpretation. The Data Analyst will enhance existing and develop new analysis and reporting capabilities while monitoring performance and quality of analytic products to identify opportunities for improvement.

DUTIES AND RESPONSIBILITIES include but are not limited to:

  • Develop, maintain and monitor dashboards in partnership with internal and external users focused on diverse uses such policy assessment and implementation, quality improvement, service insights, and fiscal management.
  • Work with clinical and non-clinical users to understand reporting needs, which products best meet these needs, and consider the end user in produce development.
  • Develop and maintain standardized data queries and data visualizations to share insights with internal and external partners, including continuously monitoring and integrating user feedback into these queries and visualizations.
  • Execute, support, and maintain data extraction, data transformation, and data loading into data visualization products.
  • Prepare reports and visualizations for various stakeholders to help them understand data insights and make informed decisions based on facts and trends.
  • Develop benchmarks for county plans to evaluate expected behavior for internal and external measures in data visualizations.
  • Strengthen the organization's data monitoring and validation processes to ensure data quality and completeness.
  • Maintain a shared library of reusable assets created during work, making them a resource to the wider team.
  • Support CalMHSA's exploration of migrating data queries, reports, and pipelines to platforms such as Databricks.
  • Perform other duties as assigned.


BACKGROUND CHECK ELIGIBLE DUTIES
This position will have access to various applications that house confidential information, including county records, employee demographic and private behavioral health information; ensure that access is used responsibly, maintaining the integrity and security of systems while preventing accidental or malicious misuse.


QUALIFICATIONS –

EDUCATION and/or EXPERIENCE 

Requires a bachelor’s degree in healthcare, data science, computer science and/or a related field, a minimum of one year of qualifying Healthcare Dashboard Visualization/Data Informatics/Analytics experience, or an acceptable equivalent combination of education and experience. Masters-level training preferred, but not required.

To perform this job successfully, an individual must be able to perform each essential function satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. 

  • Ability to use dashboarding tools, such as PowerBI, to create visualizations that provide key insights.
  • Ability to interpret data, analyze results using statistical techniques and coding languages, and provide ongoing reports. 
  • Experience developing data analysis visualizations and supporting data linkages to produce those visualizations. 
  • Ability to identify, analyze, and interpret trends or patterns in data sets.
  • Ability to identify potential use cases for data products and key insights that data visualizations may provide to users.
  • Experience with data modeling and database development and management
  • Ability to multi-task, to prioritize work, to take initiative, to meet deadlines of assignments, to be flexible and adaptable and to work well under pressure when faced with fluctuating workloads, pressures of deadlines and competing demands. 
  • Able to act with a high degree of emotional intelligence.
  • Strong communication and management skills.
  • Ability to identify confidential and sensitive information and handle with tact and discretion.


COMPUTER SKILLS – Knowledge of graphic and visualization tools, with intermediate to advanced proficiency with MS Power BI and ArcGIS Pro preferred. Experience with data automation, analysis and visualization tools, with intermediate to advanced proficiency with Excel, R or Python, and SQL preferred.  Databricks experience highly preferred.


LANGUAGE SKILLS and MATHEMATICAL SKILLS - Demonstrate the ability to read, comprehend, and respond appropriately through written or verbal form; demonstrate tactfulness when communicating including internal communication with staff members of all levels; ability to communicate with a variety of audiences effectively. 


REASONING – Demonstrate the ability to effectively apply common sense and follow through to daily tasks; demonstrate the ability to work with little or no supervision; demonstrate excellent analytical skills; demonstrate the ability to efficiently conduct research and ask appropriate probing questions to complete necessary tasks.


PHYSICAL DEMANDS - The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is frequently required to sit and stand; use phone and headset; use hands, arms, fingers to type; answer phones; write; use calculator; demonstrate strength to lift and carry materials weighing up to 10 pounds; demonstrate clear vision to read printed materials and a computer screen; hearing and speech to communicate in person and over the telephone; and drive a motor vehicle on public roads and highways.


SENSORY DEMANDS - The incumbent must spend long hours in intense concentration. The incumbent must also spend long hours on the computer entering information which requires attention to detail and high levels of accuracy.


MENTAL DEMANDS - There are a number of deadlines associated with this position, which may cause significant pressure. The incumbent must also deal with a wide variety of people on various issues.


REGULAR WORK SCHEDULE – May vary depending on business needs; however, CalMHSA standard business hours are 8:00am to 5:00pm, Monday – Friday.

Requirements: