Contact Center Data Analyst - HYBRID Position in NJ

ACC PREMIERE•Southington, CT

12d•$80,000 - $100,000•Hybrid

About The Position

We are seeking a Data Analyst to support a BPO contact center environment servicing multiple clients. The role focuses on transforming complex interaction and performance data into clear, actionable insights. Candidates must have strong experience building Tableau dashboards, mining data from conversational intelligence platforms, and working directly with clients to gather requirements, interpret results, and present insights that drive measurable improvements in customer experience and operational performance.

Requirements

Bachelor’s degree in Data Analytics, Statistics, Business, Computer Science, or a related field (or equivalent experience)
3+ years of experience as a Data Analyst or similar role
Advanced experience building dashboards and reports in Tableau
Hands-on experience with data mining and analysis using conversational intelligence platforms
Strong SQL skills and experience working with large datasets
Ability to analyze both quantitative and qualitative data (including text-based data)
Experience working in customer service, contact center, or CX analytics environments
Familiarity with AI-driven analytics, sentiment analysis, and speech/text analytics
Experience integrating data from multiple sources (e.g., CRM, telephony, QA systems, WFM, CI platforms)
Knowledge of data visualization best practices and storytelling techniques
Strong attention to detail and data quality standards
Excellent communication skills with the ability to present insights to diverse audiences
Candidates must reside within a reasonable commuting distance of our Livingston, NJ office.

Responsibilities

Design, build, and maintain interactive Tableau dashboards that communicate trends, performance metrics, and actionable insights
Analyze structured and unstructured data from conversational intelligence tools (e.g. CallMiner, Genesys, contact center transcripts, QA data, sentiment, topic modeling, agent performance metrics)
Perform data mining and pattern analysis to uncover trends, anomalies, and opportunities for improvement
Partner with business stakeholders (Operations, QA, IT, Marketing) to understand requirements and define meaningful KPIs
Translate complex analytical findings into clear narratives and visual insights that inform decision-making
Ensure data accuracy, consistency, and reliability across reports and dashboards
Automate recurring reports and dashboards to improve efficiency and scalability
Support ad hoc analysis and deep-dive investigations related to customer behavior, agent performance, and operational outcomes
Continuously improve dashboard usability, performance, and visual storytelling
Support Quarterly Business Reviews (QBRs), performance reviews, and ad hoc client presentations