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Customer Care Data Analyst – Remote
The Data Analyst supports the Customer Success organization by transforming operational and customer experience data into actionable insights that drive efficiency, performance, and continuous improvement.
This role is responsible for proactively analyzing operational and Voice of Customer (VoC) data, identifying trends, and delivering meaningful reporting that enables leadership to make informed decisions and improve the overall customer experience.
The position partners with Order Processing, Art, Customer Service, and cross-functional teams to develop reporting solutions, uncover opportunities for operational and customer experience improvements, and provide data-driven recommendations that enhance productivity, service quality, and customer satisfaction.
Key Responsibilities
Customer Experience & Voice of Customer Analysis
Analyze Voice of Customer (VoC) data including customer feedback, surveys, complaints, and service interactions to identify trends and opportunities to improve the customer experience
Partner with Customer Success and operational leadership to translate customer feedback and service data into actionable insights that drive service improvements
Identify recurring customer pain points and operational drivers impacting the customer experience, and provide data-driven recommendations to address them
Develop reporting and dashboards that monitor key customer experience metrics such as response times, resolution times, customer satisfaction trends, and service quality indicators
Proactively communicate emerging customer experience trends and risks to leadership to support continuous improvement initiatives
Support customer experience improvement projects by providing data analysis, performance tracking, and measurement of improvement outcomes
Collaborate with cross-functional teams to align operational metrics with customer experience objectives and service standards
Data Analysis & Insights
Analyze operational data to identify trends, patterns, and opportunities for process improvement within Order Processing and related departments
Proactively monitor key performance metrics and highlight areas requiring leadership attention
Translate complex data into clear insights and recommendations that support operational decision making
Conduct root cause analysis to identify drivers behind performance trends and operational challenges
Reporting & Data Visualization
Design, build, and maintain dashboards, reports, and scorecards that provide visibility into operational performance
Develop proactive reporting that surfaces emerging trends and operational risks before they become issues
Create clear and effective data visualizations, graphs, and summaries to support leadership reviews and operational planning
Maintain and improve existing reports to ensure accuracy, relevance, and efficiency
Manage report subscriptions and ensure timely distribution of insights to leadership teams
Process & Operational Improvement
Identify opportunities to improve workflows, processes, and operational efficiency through data-driven analysis
Support departmental initiatives and projects by providing analytical insights and performance tracking
Evaluate the effectiveness of operational changes and measure outcomes through performance metrics
Work closely with IT to refine, restructure, or retire legacy reports and improve reporting infrastructure
Data Management & Tracking
Maintain departmental tracking tools, productivity reporting, and operational datasets
Monitor and analyze RCM trends and productivity metrics across departments and teams
Ensure accuracy and integrity of operational data used for reporting and analysis
Support SharePoint data updates and maintain key operational resources
Collaboration
Partner with leadership across Customer Service, Order Processing and Art to understand reporting needs and business objectives
Present insights and findings in a clear, concise manner to both technical and non-technical audiences
Communicate findings that help guide operational strategy and performance improvements
Perform other duties as assigned
Skills and Knowledge
Strong analytical and critical thinking skills with the ability to interpret complex datasets
Ability to identify patterns, trends, and operational insights from large data sets
Strong data visualization and storytelling skills
Excellent communication skills with the ability to translate data into actionable business insights
Ability to analyze Voice of Customer (VoC) data and customer feedback to identify trends and opportunities for improving the customer experience
Understanding of customer experience metrics and service performance indicators (e.g., customer satisfaction, service quality, response and resolution trends)
Highly organized with strong attention to detail
Ability to prioritize multiple projects in a fast-paced environment
Strong problem-solving mindset with a focus on continuous improvement
Proficient in Microsoft Excel and data analysis tools
Working knowledge of SQL and reporting platforms preferred
Proficient in Microsoft Excel and data analysis tools
Minimum Qualifications
5+ years of experience in data analysis, reporting, or operational analytics
Experience analyzing operational or service performance data to identify trends and insights
Strong experience using Microsoft Excel for data analysis (pivot tables, formulas, data modeling, etc.)
Experience developing reports, dashboards, or visualizations to communicate performance metrics to business leaders
Experience translating data findings into actionable recommendations for operational improvements
Experience presenting analytical insights to leadership and cross-functional stakeholders
Experience analyzing customer experience or Voice of Customer (VoC) data such as surveys, customer feedback, complaints, or service performance metrics
Remote but must reside in one of the following states:
California, Colorado, Florida, Georgia, Illinois, Kentucky, Massachusetts, Michigan, New York, North Carolina, Ohio, Oklahoma. Pennsylvania, South Carolina, Texas, and Utah
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Customer Service
Industries
Manufacturing
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