Fintech Data Analytics Manager

Samsung Electronics America, Inc.

Englewood Cliffs, New Jersey, US
Base: $130,500 - $142,500; bonus/equity: mbo bonus...
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Analyze large-scale customer datasets
Extract, manipulate, and analyze data
Develop dashboards and performance reports
** Samsung Electronics America, Inc. is seeking a Fintech Data Analytics Manager to analyze customer datasets and generate actionable insights to support business strategy and collaboration with bank partners. This fully remote position requires a strong background in data analysis, programming, and data visualization, along with excellent communication skills to present insights effectively. **

Job Summary

  • This position is responsible for analyzing large-scale customer datasets to generate actionable insights that support the bridging of business strategy and bank partnership collaboration to drive revenue, portfolio profitability, and customer engagement with Samsung's Fintech Products.
  • Key Responsibilities include Fintech Data Analysis & Insight Generation, Fintech Business Strategic Support and Performance Monitoring, and Data Governance & Quality.
  • Regular full-time employees have access to comprehensive benefits including Medical, Dental, Vision, Life Insurance, 401(k), and Tuition Assistance.

Matching Summary

Match Score: 75

** Samsung Electronics America, Inc. is seeking a Fintech Data Analytics Manager to analyze customer datasets and generate actionable insights to support business strategy and collaboration with bank partners. This fully remote position requires a strong background in data analysis, programming, and data visualization, along with excellent communication skills to present insights effectively. **

Salary

Base: $130,500 - $142,500; Bonus/Equity: MBO bonus compensation; Benefits: Medical, Dental, Vision, Life Insurance, 401(k), Employee Purchase Program, Tuition Assistance, Paid Time Off, Student Loan Program, Wellness Incentives

Skills & Requirements

Must-have

  • Analyze large-scale customer datasets
  • Extract, manipulate, and analyze data
  • Develop dashboards and performance reports
  • SQL
  • Python
  • R
  • Tableau
  • Power BI

Nice-to-have

  • Data storytelling for non-technical audiences
  • Work collaboratively in a fast-paced environment
  • Navigate international cultures and time zones
  • Korean language proficiency desirable

Key Requirements

  • Bachelor's Degree in Statistics, Mathematics, Analytics, Data Science, Engineering, Computer Science, Business, Economics OR Master's Degree in a related field
  • 5 years of experience in related roles

Work Rights

Not specified

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