Banking Data Insights Analyst

American Express; Columbia (SC); Remote; USD 27,552 - 41,328; Full time

Job summary

American Express in Columbia, USA seeks a Data Analyst to develop and analyze KPIs across banking products and portfolios. You will examine customer behaviors and product adoption to inform roadmaps and pricing decisions.

The role requires a Bachelor's degree, strong analytical and communication skills, and the ability to collaborate across teams. Prior experience with large datasets and data modeling is valued.

Qualifications

• Bachelor's degree required or equivalent.
• Experience extracting insights from large, complex datasets.
• Strong written and verbal communication skills.
• Ability to collaborate across multiple groups and influence outcomes.
• Self-starter with drive to deliver results.

Responsibilities

• Develop and analyze key performance metrics across purchaser Banking products and portfolio.
• Examine and provide insights on customer penetration, profile, behaviors, and product adoption to inform banking roadmap.
• Examine competitive merchandise, pricing, target segments, size, and scale.
• Synthesize internal and external data and trends to discover sales opportunities.
• Build models and forecasts to lengthen opportunity and pricing implications.
• Conduct behavior deep dives to recognize trends and present actionable insights.
• Support go-to-market efforts in collaboration with cross-functional teams.

Skills

Analytical skills

Relationship skills

Strategic thinking

Self-starter

Communication skills

Experience with datasets

Cross-functional collaboration

Education

Bachelor's Degree

Tools

HIVE

SQL

SAS

Job description

American Express in Columbia, USA seeks a Data Analyst to develop and analyze KPIs across banking products and portfolios. You will examine customer behaviors and product adoption to inform roadmaps and pricing decisions.

The role requires a Bachelor's degree, strong analytical and communication skills, and the ability to collaborate across teams. Prior experience with large datasets and data modeling is valued.