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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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