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Senior Data Analyst, Customer Service

BetMGM

Jersey City · Hybrid Full-time Senior 3w ago

About the role

About

  • Company: BetMGM
  • Position: Senior Data Analyst, Customer Service
  • Experience Required: 3 – 5 years
  • Location: United States – Jersey City, NJ
  • Work Arrangement: Hybrid

Responsibilities

  • Analyze customer service data from various sources (e.g., CRM systems, call center recordings, surveys) to identify trends, patterns, and areas for improvement.
  • Develop and maintain data models and dashboards to visualize key customer service metrics.
  • Conduct root cause analysis to identify the underlying reasons behind customer issues and dissatisfaction.
  • Support the development and implementation of data‑driven initiatives to improve customer service processes and agent performance.
  • Partner with stakeholders across the organization (e.g., customer service leadership, product teams, marketing) to translate data insights into actionable recommendations.
  • Stay up-to-date on the latest customer service trends and technologies.
  • Communicate complex data findings in a clear, concise, and compelling way.

Requirements and Qualifications

Education

  • You will expected to have a BSc or MSc Degree educated in a Statistics, Maths or Science based subject

Qualifications

  • Bachelor's degree in Data Science, Statistics, Business Analytics, or a related field (or equivalent experience).
  • 4+ years of experience in data analysis, preferably with a focus on customer service or a related field.
  • Strong analytical skills with proficiency in SQL and data visualization tools (e.g. Power BI).
  • Skilled in data analytics using python
  • Excellent communication and presentation skills, with the ability to explain complex data findings to a non‑technical audience.
  • Proven ability to work independently and manage multiple projects simultaneously.
  • Strong problem‑solving skills and a passion for continuous improvement.
  • A deep understanding of customer service principles and best practices (a plus).

Additional Requirements (if Applicable)

  • Some knowledge of reporting tools, Tableau / MicroStrategy / Power BI or similar
  • Advanced use of Microsoft Office especially Excel and Powerpoint
  • Curious in nature
  • Good verbal reasoning skills
  • Articulate and confident when presenting the output of your work
  • Highly data and statistical driven

Requirements

  • Bachelor's degree in Data Science, Statistics, Business Analytics, or a related field (or equivalent experience).
  • 4+ years of experience in data analysis, preferably with a focus on customer service or a related field.
  • Strong analytical skills with proficiency in SQL and data visualization tools (e.g.Power BI).
  • Skilled in data analytics using python
  • Excellent communication and presentation skills, with the ability to explain complex data findings to a non-technical audience.
  • Proven ability to work independently and manage multiple projects simultaneously.
  • Strong problem-solving skills and a passion for continuous improvement.
  • Some knowledge of reporting tools, Tableau / MicroStrategy / Power BI or similar
  • Advanced use of Microsoft Office especially Excel and Powerpoint
  • Good verbal reasoning skills
  • Articulate and confident when presenting the output of your work
  • Highly data and statistical driven

Responsibilities

  • Analyze customer service data from various sources (e.g., CRM systems, call center recordings, surveys) to identify trends, patterns, and areas for improvement.
  • Develop and maintain data models and dashboards to visualize key customer service metrics.
  • Conduct root cause analysis to identify the underlying reasons behind customer issues and dissatisfaction.
  • Support the development and implementation of data-driven initiatives to improve customer service processes and agent performance.
  • Partner with stakeholders across the organization (e.g., customer service leadership, product teams, marketing) to translate data insights into actionable recommendations.
  • Stay up-to-date on the latest customer service trends and technologies.
  • Communicate complex data findings in a clear, concise, and compelling way.

Skills

ExcelPower BIPythonSQLTableauMicroStrategy

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