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Customer Service Data Analyst Jobs in California

Data Analyst II

San Francisco, CA · Hybrid

$93K - $117K/yr

Our Data Scientists, Analysts, and Engineers work together to make data-and insights derived from ... Develop self-service data tools and processes that empower business stakeholders to independently ...

Data Analyst II

San Francisco, CA · On-site

$93K - $117K/yr

... service eliminate manual expense and accounting tasks for customers so they can focus on what ... Our Data Scientists, Analysts, and Engineers work together to make data-and insights derived from ...

You'll build data products and solutions such as dashboards, self-service tooling, and data ... Experience enabling go to market teams with customer and financial data * Familiarity with ...

Data Analyst

San Francisco, CA · On-site

$114K - $142K/yr

Customers and users across the globe use Planet's data to develop new technologies, drive revenue ... You'll build data products and solutions such as dashboards, self-service tooling, and data ...

Data Analyst

San Francisco, CA · On-site

$114K - $142K/yr

Customers and users across the globe use Planet's data to develop new technologies, drive revenue ... You'll build data products and solutions such as dashboards, self-service tooling, and data ...

Senior Data Analyst

Los Angeles, CA · On-site

$130K - $150K/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

$70K - $109K/yr

Provided essential analytics support for service sales, marketing, field services, and tech support ... Formed a data and analytics steering committee to establish data governance and standardize key ...

The company partners with dealer-centric media agencies, service providers, and OEM programs to ... Perform rigorous QA on data sets and reports to ensure flawless deliverables for our Customer ...

Use data mining and other analytical techniques to gain insight into customers to improve the ... financial services company's investment unit. * Strong background in quantitative analysis (e.g ...

... which includes data analysis Note: This role does not involve finance or accounting ... Strong customer service orientation. * Resourcefulness: The ability to find a way to make a ...

New

Ampcus Inc. is a certified global provider of a broad range of Technology and Business consulting services. They are seeking a Data Analyst to evaluate customer behavior and provide insights that ...

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Data Analyst

Santa Ana, CA · On-site

$37 - $40/hr

Join a respected financial services organization as a Data Analyst in Santa Ana and make an impact every day. As a Data Analyst, you'll be integral in transforming complex data into actionable ...

New

Data Analyst

San Francisco, CA · On-site

$150K - $170K/yr

... the customer journey. * Turn one-off analyses into repeatable internal tools and self-service resources so the next request is faster than the last. What experience is required? * Degree in data ...

Position : Data Analyst Location : Santa Clara, CA Onsite - Local Only Duration : Long term contract Description: * Strong in advance SQL * Good at data analysis * Should be able to build BI ...

Data Analyst

Los Angeles, CA · On-site

$85K - $105K/yr

Our sense of urgency ensures we meet both our own high standards and the evolving needs of our customers. KEY RESPONSIBILITIES Data Analysis & Reporting * Collect, validate, and analyze large ...

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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 II

San Francisco, CA • Hybrid

$93K - $117K/yr

Full-time

Re-posted yesterday


Job description

Data at Brex

The Data organization develops insights, models, and data infrastructure for teams across Brex, including Sales, Marketing, Product, Engineering, and Operations. Our Data Scientists, Analysts, and Engineers work together to make data-and insights derived from data-a core asset across the company.

What you'll do

As a Data Analyst II (DA), you will play a central role in enhancing the operational tracking and reporting capabilities of different business teams across Brex. You will work closely with Data Scientists, Data Engineers, and partner teams to drive meaningful insights for the business through visualizations, self-service tools, and ad-hoc analyses. This is a high-impact role in a fast-paced fintech environment where your work will directly influence strategic decisions.

Where you'll work

This role will be based in our San Francisco office. We are a hybrid environment that combines the energy and connections of being in the office with the benefits and flexibility of working from home. We currently require a minimum of three coordinated days in the office per week, Monday, Wednesday and Thursday. As a perk, we also have up to four weeks per year of fully remote work!

Responsibilities

  • Apply data visualization and storytelling skills in creating business intelligence solutions (such as Looker and/or Hex dashboards) that enable actionable insights.
  • Perform ad-hoc analyses and deep dives to investigate business questions, surface trends, and provide data-driven recommendations.
  • Develop self-service data tools and processes that empower business stakeholders to independently monitor the performance and health of their respective areas.
  • Collaborate closely with Data Scientists and Data Engineers to identify data sources, enable data pipelines, and support the development of analytical data models that operationalize reports and dashboards.
  • Implement and maintain rigorous data quality checks to ensure the integrity and robustness of datasets used across dashboards, reports, and analyses.
  • Partner with various departments-including Sales, Operations, Product, and Finance-to understand their data needs and deliver tailored analyses and reporting that support strategic planning.
  • Contribute to the automation of recurring analyses and reporting workflows using Python.

Requirements

  • 3+ years of experience in data analytics or a related role in a professional setting.
  • 2+ years of experience working directly with Sales, Operations, Product, or equivalent business teams.
  • Fluency in SQL to manipulate data and perform complex analyses (CTEs, window functions, joins across large datasets).
  • Experience with Python for data analysis, automation, or scripting.
  • Experience with business intelligence and data visualization tools (Looker, Hex, Tableau, or similar).
  • Strong quantitative and analytical skills with a demonstrated ability to translate data into business insights.
  • Strong communication skills and the ability to work effectively with stakeholders across different functions and levels of technical fluency.
  • Experience with generative AI and LLM-based tools (Claude Code, Cursor, GitHub Copilot) to perform and accelerate analyses, automated reporting, and build self-service data tools.

Bonus points

  • Familiarity with cloud data platforms (e.g., Snowflake, BigQuery, Databricks).
  • Familiarity with dbt for data modeling and transformation.
  • Exposure to data pipeline orchestration tools (e.g., Airflow).
  • Experience in fintech, financial services, or payments.
  • Comfort operating in a fast-paced, high-growth environment with evolving priorities.

Compensation

The expected salary range for this role is $93,600 - $117,000. However, the starting base pay will depend on a number of factors including the candidate's location, skills, experience, market demands, and internal pay parity. Depending on the position offered, equity and other forms of compensation may be provided as part of a total compensation package.

Brex LLC is a wholly owned subsidiary of Capital One, N.A.