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Customer Support Data Analyst Jobs in Ruckersville, VA

Booz Allen Hamilton

AI Systems Analyst

Charlottesville, VA · On-site

$77K - $176K/yr

... data analytics, model distillations, and systems update cycles * Ability to provide in-depth scientific and technical analysis to support technical and analytic operations and knowledge management ...

UVIMCO

Operations Analyst

Charlottesville, VA · On-site

$70K - $85K/yr

... support, data management, and other ad-hoc duties as assigned. The Operations Analyst will work closely with internal teams across investment, legal, and risk management, as well as external ...

UVIMCO

Operations Analyst

Charlottesville, VA · On-site

$70K - $85K/yr

... support, data management, and other ad-hoc duties as assigned. The Operations Analyst will work closely with internal teams across investment, legal, and risk management, as well as external ...

NALLEY CONSULTING

Data Engineer - Sr

Charlottesville, VA · On-site

$107K - $128K/yr

Responsibilities : • Conducting data analytics, data engineering, data mining, exploratory ... supporting project teams to scale, monitor, and operate data platforms in support of specific ...

Nalley Consulting

Data Engineer - Sr

Charlottesville, VA · On-site

$109K - $131K/yr

You'll use your expertise in analytical exploration and data examination while you oversee the ... supporting project teams to scale, monitor, and operate data platforms in support of specific ...

Nalley Consulting

Data Engineer - Sr

Charlottesville, VA · On-site

$113K - $136K/yr

Duties * Conducting data analytics, data engineering, data mining, exploratory analysis ... supporting project teams to scale, monitor, and operate data platforms in support of specific ...

Nalley Consulting

Data Engineer - Sr

Charlottesville, VA · On-site

$109K - $131K/yr

You'll use your expertise in analytical exploration and data examination while you oversee the ... supporting project teams to scale, monitor, and operate data platforms in support of specific ...

Varsity Tutors

Data Analysis Tutor

Charlottesville, VA · Remote

$40/hr

... Data Analysis tutors nationally. As a tutor on the Varsity Tutors Platform, you'll have the ... Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ...

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All JobsCustomer Support Data Analyst JobsCustomer Support Data Analyst Jobs in Ruckersville, VA

Customer Support Data Analyst information

See Ruckersville, VA salary details

$11

$32

$64

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

As of Sep 12, 2026, the average hourly pay for customer support data analyst in Ruckersville, VA is $33.00, according to ZipRecruiter salary data. Most workers in this role earn between $17.12 and $39.76 per hour, depending on experience, location, and employer.

What does a customer support data analyst do?

A Customer Support Data Analyst is responsible for analyzing data related to customer service interactions to identify trends, measure performance, and suggest improvements. They work with large datasets from support tickets, chat logs, and customer feedback to uncover patterns and insights. Their findings help customer support teams optimize processes, improve customer satisfaction, and make data-driven decisions. They often collaborate with other departments, such as product and engineering, to address recurring issues and enhance the overall customer experience.

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

To thrive as a Customer Support Data Analyst, you need strong analytical skills, experience with data visualization, and a background in statistics or related fields, often supported by a relevant degree. Proficiency in tools such as SQL, Excel, customer support platforms (like Zendesk), and analytics software (like Tableau or Power BI) is typically required. Exceptional communication, problem-solving abilities, and attention to detail help you stand out in interpreting data and collaborating with support teams. These skills are vital for identifying trends, optimizing customer experiences, and driving data-informed decision-making in support operations.

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

A Customer Support Data Analyst works closely with customer service teams by analyzing support ticket data, identifying trends, and highlighting areas for improvement. They often participate in regular meetings to present findings and recommend actionable solutions, such as updating knowledge base articles or refining response scripts. This collaboration helps ensure that data-driven insights are directly applied to enhance the overall customer experience and streamline support operations.

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

AspectCustomer Support Data AnalystCustomer Service Representative
Primary RoleAnalyzes customer data to improve support processes and customer satisfactionAssists customers directly with inquiries, issues, and product information
Required SkillsData analysis, SQL, Excel, communicationCommunication, problem-solving, product knowledge
Work EnvironmentOffice or remote, working with data teamsCall centers, retail stores, or online support channels
Common CertificationsData analysis certifications, CRM tools trainingCustomer service certifications, communication courses

The main difference is that Customer Support Data Analysts focus on analyzing customer data to enhance support strategies, while Customer Service Representatives handle direct customer interactions. Both roles are essential in customer support but serve different functions within the industry.

What is a customer support data analyst?

A customer support data analyst is a professional who examines customer service data to identify trends, improve support processes, and enhance customer satisfaction. They often use tools like Excel, SQL, or data visualization software and require strong analytical skills to interpret large datasets and generate actionable insights.

What cities near Ruckersville, VA are hiring for Customer Support Data Analyst jobs?

Cities near Ruckersville, VA with the most Customer Support Data Analyst job openings:

Data Analyst Mid - GEOINT Technical SME

Charlottesville, VA • On-site

Tulk LLC
See more jobs at Tulk LLCexternal

$121K - $155K/yr

Full-time

Re-posted 28 days ago

Key responsibilities

  • Support data analysis, model development, dashboarding, metrics reporting, and data-driven business process improvement.

  • Collaborate with stakeholders, project managers, and subject matter experts to clarify business needs, analyze data from multiple sources, and develop visual products.

  • Use data analytics, scripting, and visualization techniques to transform data into clear, actionable insights for decision-making and organizational performance improvement.

Job description

Data Analyst - GEOINT Technical SME - Mid

TULK is a leading boutique consulting firm providing technology and management consulting services to the U.S. Federal Government. Our expert team supports Defense, Intelligence Community, and National Security customers by helping them acquire, manage, analyze, and improve mission-focused technology, data, and business capabilities.

We are seeking a Data Analyst - GEOINT Technical SME - Mid to support geospatial intelligence, business analytics, data visualization, and mission data management activities. This role is ideal for a cleared data professional with experience applying data analytics, GEOINT tools, scripting, and visualization techniques to support decision-making, improve business processes, and deliver actionable insights to mission stakeholders.

About the Work

The Data Analyst - GEOINT Technical SME - Mid will support data analysis, model development, dashboarding, metrics reporting, and data-driven business process improvement. The role involves working with stakeholders, project managers, and subject matter experts to clarify business needs, analyze data from multiple sources, develop visual products, support analytic tools, and help improve organizational performance.

This position requires the ability to transform quantitative and qualitative data into clear, useful, and mission-relevant insights. The candidate should be comfortable working in classified environments, supporting Intelligence Community stakeholders, and using data tools to improve understanding of mission, operational, business, and technical issues.

Your Duties

  • Develop data analytics, dashboards, reports, charts, graphs, and other visualizations using industry-standard data analysis and data science practices.
  • Transform complex data sets from multiple sources into understandable visual products that support leadership, mission, and business decision-making.
  • Collaborate with project requestors, stakeholders, subject matter experts, and project managers to refine requirements and clarify business objectives.
  • Use data analytics to identify issues, draw logical conclusions, form business insights, and recommend ways to improve organizational performance and efficiency.
  • Support the development, integration, maintenance, and sustainment of analytic models, visualizations, and tools.
  • Support risk scoring, anomaly detection, performance monitoring, metrics tracking, and related data analysis implementations as required.
  • Capture, maintain, and analyze statistics, timelines, system performance data, and other operational metrics.
  • Prepare reports, briefings, dashboards, and visual summaries for internal teams, technical stakeholders, and leadership audiences.
  • Support policy, process, and business operations activities by contributing data analysis, technical editing, documentation, and reporting support.
  • Use scripting and automation techniques to manipulate, analyze, clean, transform, or visualize data as needed.
  • Support geospatial data analysis and related GEOINT mission activities using applicable tools, data sets, and technical methods.
  • Work independently and collaboratively in a dynamic environment with changing priorities and short suspense timelines.

Required Skills and Experience

  • Top Secret / SCI security clearance
  • U.S. Citizenship
  • Bachelor’s degree in Data Science, Statistics, Business, Geography, Geospatial Information Systems, Computer Science, Information Systems, or a related field, or equivalent relevant experience.
  • 6 or more years of relevant experience developing data analytics, visualizations, analytic models, dashboards, or data-driven business products.
  • Demonstrated experience using data to form business insights, draw logical conclusions, and support performance-improving strategies.
  • Demonstrated experience collaborating with stakeholders to clarify project needs, business objectives, data requirements, and analytical questions.
  • Experience creating and editing visual content such as charts, graphs, dashboards, and briefing materials to represent data clearly.
  • At least 12 months of demonstrated experience using one or more geospatial or GEOINT-related tools such as ArcGIS, ArcView, RemoteView, ArcIMS, ERDAS Imagine, or similar geospatial analysis tools.
  • Demonstrated coding or scripting experience using tools such as Python, Java, or similar languages to support data manipulation, analysis, automation, or visualization.
  • Demonstrated ability to use SharePoint, Tableau, Redmine, databases, or other systems to manipulate data, manage information, and build data visualizations.
  • Strong organizational and communication skills, with the ability to work effectively in a team-oriented mission environment.
  • Proficiency with Microsoft Office tools, including Excel and PowerPoint.

Desired Skills and Experience

  • Experience supporting GEOINT, Intelligence Community, Department of Defense, or national security missions.
  • Experience supporting insider threat, risk scoring, anomaly detection, or similar security-focused analytics programs.
  • Experience with policy development, process improvement, business operations, or performance management initiatives.
  • Experience with GEOINT analysis software, NGA mission applications, geospatial data sets, or mission reporting tools.
  • Experience using Tableau, Python, SQL, GIS tools, SharePoint, or other business intelligence and data visualization platforms.
  • Experience preparing executive-level briefings, technical reports, dashboards, and visual summaries for senior stakeholders.
  • Experience with data quality analysis, data cleansing, data transformation, and data integration across multiple sources.

Work Environment

  • Work is performed in support of Federal, Defense, Intelligence Community, and national security missions.
  • Work may be performed in classified environments and requires compliance with applicable security, information handling, and customer site requirements.
  • Normal work hours are generally Monday through Friday during standard business hours, unless otherwise required by mission needs.