1

Customer Service Data Analyst Jobs (NOW HIRING)

Data Analyst

Los Angeles, CA · On-site

$71.45K - $75.21K/yr

VOALA provides a variety of social services to Los Angeles area communities such as Head Start ... Conducts independent analysis reviewing data trends to develop improved automation in support of ...

Data Analyst

Los Angeles, CA

$71.45K - $75.21K/yr

VOALA provides a variety of social services to Los Angeles area communities such as Head Start ... Conducts independent analysis reviewing data trends to develop improved automation in support of ...

New

Because we were established for the purpose of public service and not for profit, we measure our success in the impact of our service. Position Overview ANSER is seeking a skilled Data Analyst to ...

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 ...

MetroSys is seeking a Data Analyst to support enterprise reporting and analytics initiatives for a ... services, or a regulated industry. * Exposure to marketing analytics, customer experience reporting ...

... customers extremely happy through technology offerings and services that maximize business ... Position Summary Fisher's is seeking a skilled and driven Power BI Data Analyst (level l or ll ...

... 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 ...

Staff Data Analyst

$145K - $155K/yr

Mission Lane is combining the power of data, technology, and exceptional service to pave a clear ... This role is critical in our mission to empower our customers through the development and delivery ...

New

Data Analyst III

San Francisco, CA · On-site +1

$114.19K - $142.74K/yr

Our Data Scientists, Analysts, and Engineers work together to make data-and insights derived from ... Build and maintain dashboards and self-service reporting tools that enable business teams to ...

... 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 ...

... services provided to customers, and the company's genuine concern for a sustainable environment ... Data Analyst Location: Looking for candidates in the Bay Area - San Francisco, Sacramento, Oakland ...

next page

Showing results 1-20

Customer Service Data Analyst information

See salary details

$14

$29

$48

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

As of May 31, 2026, the average hourly pay for customer service data analyst in the United States is $29.69, according to ZipRecruiter salary data. Most workers in this role earn between $20.91 and $35.58 per hour, depending on experience, location, and employer.

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

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 are Customer Service Data Analysts?

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 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.

What states have the most Customer Service Data Analyst jobs? States with the most job openings for Customer Service Data Analyst jobs include:
Infographic showing various Customer Service Data Analyst job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 75% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $61,756 per year, or $29.7 per hour.

Full-time

Posted 7 days ago


Job description

Overview
Systems Planning and Analysis, Inc. (SPA) delivers high-impact, technical solutions to complex national security issues. With over 50 years of business expertise and consistent growth, we are known for continuous innovation for our government customers, in both the US and abroad. Our exceptionally talented team is highly collaborative in spirit and practice, producing Results that Matter. Come work with the best! We offer opportunity, unique challenges, and clear-sighted commitment to the mission. SPA: Objective. Responsive. Trusted.
The Joint, Office of the Secretary of Defense, Interagency Division (JOID) provides expert support services to a range of customers spanning across the Department of Defense, Federal Civilian, and international markets. JOID provides a diverse portfolio of analytical and programmatic capabilities to help our customers make informed decisions on their most challenging issues.
The Critical Infrastructure Group (CIG) within JOID provides technical, programmatic and analytical support to customers with missions in national security to include the Department of Homeland Security (DHS), Health and Human Services (HHS), and the Federal Aviation Administration (FAA). The Group brings technical and operational expertise in fields of countering weapons of mass destruction, critical infrastructure protection, emergency response, nuclear non-proliferation, weapons deployment programs, and transportation safety. In addition to management and advisory services, CIG staff collaborate closely with our clients to provide high-quality modeling, simulation, software, and analytical products to meet the most demanding government standards and timelines.
SPA has an upcoming need for a Data Analyst to provide hybrid support in Northern Virginia.
Responsibilities
The candidate will work with a team of data architects, data analysts, and cost analysts to support the Department of Homeland Security in developing and implementing a data management and analysis solution for government cost and acquisition analysts. Will apply rational, systematic, science-based techniques, advanced analytical methods, and critical thinking to help inform clients and to improve decision-making in complex processes. Obtain, integrate, and report client data, and develop and apply analytic methodologies and principles. Lead the application of analytic techniques and help define project objectives and strategic direction. Resolve complex problems which require an in-depth knowledge of analytic methodologies and principles. Create and promulgate data collection templates, maintain databases, and work with various analytical tools. Analyze acquisition data, formulate conclusions and recommendations, design and develop materials, and evaluate effectiveness in accordance with stated guidelines, speculations, and models. Conduct research, data gathering, and technical reviews. Produce written deliverables to include reports, spreadsheets, databases, formal process mapping, technical design, system testing, and implementation activities. Troubleshoot issues in reports related to data and assimilating, integrating, and interfacing technical knowledge with business/system requirements. Manage client relationships and expectations.
Qualifications
Required:
  • U.S. Citizen and eligible for a DHS suitability clearance
  • 2+ years of professional experience in the area of data science or data engineering
  • Bachelor's degree in Business, Engineering, Science, or Mathematics with 24 semester credit hours in quantitative analysis
  • Validated analytical, creative, and effective problem solving skills, with the ability to present solutions both in written and oral format
  • Solid understanding of applying mathematical, statistical, econometric, and other scientific methods to real world problems

Desired:
  • Experience using R, Tableau, or Power BI
  • Experience using ACEIT
  • Active DHS suitability or DoD Secret clearance
  • Experience with DoD or Coast Guard acquisition programs