Senior Analyst – Data Analytics

American Express

. Support the US SME Business Line of Credit organization across three sub-teams .

Posted 11/4/2026full-timeNew York City • New York • United StatesSenior💰 $89,250 - $150,250 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong analytical capabilities using Python and SQL for data manipulation and statistical modeling, while effectively collaborating across teams to drive business performance and deliver impactful insights. Proven ability to develop and implement analytical solutions in a fast-paced environment, ensuring alignment with business objectives.

Highest-signal resume keywords

Proficiency In SQLProficiency In PythonExperience In Big Data EnvironmentAdvanced Knowledge Of Microsoft Office SuiteHands-On Analytics Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ManipulationStatistical ModelingData Mining TechniquesAnalytical ToolsPerformance Metrics DefinitionAnalytical ThinkingBusiness Process OptimizationStructured And Unstructured Data HandlingSales Performance SupportStrategic Initiative Leadership

Soft Skills

Interpersonal SkillsCollaborationSelf-StarterResults-DrivenPrioritization

Tools & Technologies

CRM ToolsSalesforceMicrosoft ExcelStatistical Software Programs

Industry Keywords

Quantitative FieldBusiness GrowthColleague ExperienceKey Performance IndicatorsData-Backed Insights

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Support the US SME Business Line of Credit organization across three sub-teams
Provide strategic analyses, insights, sales performance support, and thought leadership
Collaborate with Sales, Marketing, Product, Finance, and Incentive Governance
Lead special projects, daily run-the-business efforts, and strategic initiatives from conception through rollout
Balance business growth with colleague experience
Define success metrics and ensure key performance indicators are reportable to track real-time business impact
Apply analytical thinking to diagnose business needs and establish analytical hypotheses and solutions
Use Python and SQL for data manipulation, statistical modeling, and data-mining techniques
Drive alignment among customers and key partners and write compelling messages for varied audiences
Develop data-backed insights, identify opportunities to strengthen business performance, and address ambiguous challenges
Lead multiple sophisticated workstreams across departmental boundaries and deliver impactful initiatives

Requirements

What you’ll need

1-3 years of relevant work experience
Bachelor’s Degree required, preferably in a quantitative field (e.g., Economics, Finance, Accounting, Statistics, Data Analytics, Engineering)
Proficiency in SQL and Python is a must
Proficiency in analytical tools
Experience in Big Data environment, inclusive of data mining techniques
Hands-on analytics experience and understanding of data processing
Ability to address performance issues and manipulate both structured and unstructured data
Proficiency in CRM tools, Salesforce, or statistical software programs
Advanced knowledge of Microsoft Office Suite, including Excel pivot, macros, and deck-writing
Proven track record of independently developing novel analytical solutions optimizing business processes
Ability to cultivate relationships and partner with multiple collaborators, with superb interpersonal skills
Ability to deliver results, work independently, and prioritize tasks
Self-starter who thrives in an evolving, dynamic environment
Employment eligibility to work with American Express in the United States is required; the company will not pursue visa sponsorship
Master’s Degree in a quantitative discipline preferred

Benefits

Comp & perks

Competitive base salaries
Bonus incentives
6% Company Match on retirement savings plan
Free financial coaching and financial well-being support
Comprehensive medical, dental, vision, life insurance, and disability benefits
Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
20+ weeks paid parental leave for all parents, regardless of gender, offered for pregnancy, adoption or surrogacy
Free access to global on-site wellness centers staffed with nurses and doctors (depending on location)
Free and confidential counseling support through our Healthy Minds program
Career development and training opportunities