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Customer Service Data Analyst Jobs (NOW HIRING)

Customer Service/Data Entry

Fort Wayne, IN · On-site

$15.75 - $20.75/hr

We are seeking an accurate and detail-oriented Customer Service Data Entry Specialist. In this role, you will be the backbone of our database, ensuring customer records are up-to-date while providing ...

Data Analyst II

Manhattan, NY · 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 ...

The Role As a Customer Data Analyst, you'll turn our utility customers' data into actionable insights. You'll build dashboards and visualizations that help customers see and understand their grid and ...

Data Analyst II

New York, NY · 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 ...

Support the FedEx and Toner programs, including customer service, issue resolution, data analysis, and presentations to field offices. ( This covers the entire FBI ) * Work directly with government ...

Senior Data Analyst

Quantico, VA

$91K - $114K/yr

Senior Data Analyst ID: 1592 Location: Quantico, VA More about this job > Description Data ... DI consistently demonstrates exceptional customer service, maintains an employee-centric culture ...

Data Analyst

Alexandria, VA · On-site

$125K - $145K/yr

... support services to a range of customers spanning across the Department of Defense, Federal ... Responsibilities The Data Analyst will support the newly formed Assistant Secretary of War for ...

Data Analyst

Alexandria, VA · On-site

$125K - $145K/yr

... support services to a range of customers spanning across the Department of Defense, Federal ... Responsibilities The Data Analyst will support the newly formed Assistant Secretary of War for ...

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Data Analyst

Atlanta, GA · On-site

$65K - $85K/yr

Onsite, Atlanta, GA Position Summary The Data Analyst supports the Client's Customer Service Improvement Project (CSIP) by collecting, analyzing, and reporting data that informs grants management ...

Data Analyst

Kansas City, MO · On-site

$65K - $85K/yr

Onsite, Kansas City, MO Position Summary The Data Analyst supports the Client's Customer Service Improvement Project (CSIP) by collecting, analyzing, and reporting data that informs grants management ...

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Customer Service Data Analyst information

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

As of Sep 10, 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 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.

What states have the most Customer Service Data Analyst jobs?

States with the most job openings for Customer Service Data Analyst jobs include:

What are popular job titles related to Customer Service Data Analyst jobs?

For Customer Service Data Analyst jobs, the most frequently searched job titles are:

Infographic showing various Customer Service Data Analyst job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, and 3% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $61,756 per year, or $29.7 per hour.

Customer Service/Data Entry

Fort Wayne, IN • On-site

$15.75 - $20.75/hr

Full-time

Posted 8 days ago


Job description

Description:

JOB TITLE: Customer Service Associate

PLANT: Fort Wayne

REPORTS TO:  Customer Service Lead/ FW  Materials Manager 

DEPT: Customer Service 

Shift: Monday-Friday full time 40 hours a week. Onsite role. 


DESCRIPTION: 

We are seeking an accurate and detail-oriented Customer Service Data Entry Specialist. In this role, you will be the backbone of our database, ensuring customer records are up-to-date while providing friendly, efficient support to client inquiries. The ideal candidate possesses a quick and accurate typing speed, exceptional problem-solving skills, and a commitment to data confidentiality. 

Key Responsibilities

  • Data Management: Input, update, and maintain customer account information and records in company software and databases.
  • Customer Support: Respond promptly to customer inquiries, complaints, and requests via phone, email, and live chat while maintaining a high level of      customer satisfaction.
  • Data Verification: Review data for accuracy, correct discrepancies, and cross-reference information against source documents before finalizing entries.
  • Order & Request Processing: Process Purchase Orders, Purchase Releases, Trial Orders, and all other customer order-related documentation.
  • File Organization: Scan, organize, and maintain physical and digital source documents in compliance with data privacy policies.
  • Customer Communication: Act as the primary point of contact to support and assist with all customer inquiries and concerns.
  • Logistics Coordination: Coordinate with the Plant’s logistics team to ensure accurate ship dates, including handling expedites, cancellations, and open-order status reports to keep customers informed of their order status.
  • Document Management: Maintain all relevant correspondence, including emails,      Purchase Orders, reports, and other documentation, in accordance with departmental electronic filing and ISO/compliance requirements.
  • Sales & Manufacturing Liaison: Serve as a liaison between the Sales and Manufacturing teams as required.
  • Customer Visits: Prepare conference rooms and coordinate lunches for customers as requested by the Commercial Sales team.
  • Order Entry: Enter sales orders received through email, EDI, and customer portals accurately and in a timely manner.
  • ERP System Management: Maintain all required ERP system parameters, files, and entry activity associated with order management.
Requirements:

 Qualifications & Skills

  • Experience: 1–3 years of experience in data entry, clerical administration, or      customer support. Manufacturing experience is a plus but not required.
  • Typing Speed: Proficient in touch typing with a high level of accuracy, typically 45+ WPM.
  • Software Skills: Intermediate proficiency in Microsoft Office Suite, including Word and Excel.
  • Attention to Detail: Demonstrated ability to identify errors, maintain accuracy, and ensure data integrity.
  • Communication: Strong verbal and written communication skills, with the ability to multitask effectively and consistently follow up with customers.