Fintech Data Analytics Manager

Samsung Electronics•Englewood Cliffs, NJ

10d

About The Position

Headquartered in Englewood Cliffs, N.J., Samsung Electronics America, Inc. (SEA), the U.S. Sales and Marketing subsidiary, is a leader in mobile technologies, consumer electronics, home appliances, enterprise solutions, and network systems. For more than four decades, Samsung has driven innovation, economic growth, and workforce opportunity across the United States—investing over $100 billion and employing more than 20,000 people nationwide. By integrating our large portfolio of products, services, and AI technology, we’re creating smarter, sustainable, and more connected experiences that empower people to live better. SEA is a wholly owned subsidiary of Samsung Electronics Co., Ltd. To learn more, visit Samsung.com. For the latest news, visit news.samsung.com/us. Role and Responsibilities 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.

Requirements

Minimum Qualifications: 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
Programming: Write computer programs and analyze large datasets to uncover answers to complex problems. Data analysts need to be comfortable writing code and working in a variety of programming languages, such as Java, R, Python, and SQL.
Data Visualization and Dashboarding (Tableau, Power BI): not only be able to analyze data accurately, but also communicate your findings effectively. Visualization tools like Tableau and Power BI help you transform complex datasets into interactive and intuitive dashboards.
Statistical analysis: Identify patterns in data. This includes having a keen sense of pattern detection and anomaly detection.
Data storytelling: Communicate actionable insights using data, often for a nontechnical audience

Nice To Haves

Strong understanding of data visualization best practices
Fluency in data visualization best practices
Ability to work collaboratively in a fast-paced, cross-functional environment.
Ability to navigate international cultures and work across time zones, and willingness to work with a remotely located development and design team
Proficiency in the Korean language is desirable, but not mandatory

Responsibilities

Fintech Data Analysis & Insight Generation: Extract, manipulate, and analyze large datasets from internal systems and issuer bank reports.
Identify customer behavior patterns, spending trends, lifecycle insights, and campaign effectiveness
Develop dashboards and recurring performance reports
Conduct ad-hoc analysis to support Fintech business initiatives
Fintech Business Strategic Support and Performance Monitoring: Provide data-driven recommendations for acquisition strategy, customer engagement programs, and retention campaigns
Track KPIs including acquisition, activation, spending, attrition
Analyze Wallet provisioning and contribution to the other ecosystems
Monitor portfolio health indicators and Fintech Product risk.
Analyze campaign ROI and customer segmentation performance
Support marketing, finance, risk and product teams with insights
Data Governance & Quality: Liaise with the issuer bank analytics team on data alignment and reporting standards
Validate data accuracy and ensure consistency between bank data and internal reporting
Ensure financial data compliance with data privacy and regulatory standards.