Full-Time

Senior Data Analyst

Customer Service

Posted on 11/19/2024

BetMGM

BetMGM

Compensation Overview

$92k - $120.8kAnnually

+ Performance-based bonus

Senior

Pennsylvania, USA + 3 more

More locations: Jackson Township, NJ, USA | Waterbury, CT, USA | New York, NY, USA

Category
Data Analysis
Data & Analytics
Required Skills
Power BI
Python
SQL
Customer Service
Data Analysis
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.
  • Skilled in troubleshooting/identification and resolution of bugs
  • Curious in nature and a drive to solve business problems
  • Good verbal reasoning skills
  • Articulate and confident when presenting the output of your work
  • Driven by data and statistical findings
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.
  • Ensure data quality, integrity and consistency across analyses and KPIs through strong quality control processes and documentation
  • 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.
  • Provide guidance, support, and training to other analysts on the team, sharing best practices and improving processes

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

N/A