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Data Analyst
American ExpressAnalyst in Data Science supporting data analysis and product management initiatives for Investments Management at American Express. Collaborate with cross-functional teams to deliver business value and insights.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in business analysis and data analytics, with proficiency in SQL, Tableau, and Power BI. Capable of translating business requirements into actionable insights and user stories while ensuring data quality and governance.
Highest-signal resume keywords
Business AnalysisData AnalyticsSQL/BigqueryTableauAgile Methodologies
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisUser Story TranslationData GovernanceData Quality PrinciplesData ModelingFunctional SpecificationsProcess DocumentationAnalytical SkillsProblem-Solving SkillsPython
Soft Skills
Excellent Communication SkillsCollaboration SkillsSynthesis of Complex Information
Tools & Technologies
TableauPower BITM1LUMIGen AI Tools
Industry Keywords
Product ManagementSoftware Development LifecycleBusiness RequirementsOperational EfficiencyStakeholder Communications
Tech Stack
Tools & technologiesBigQueryPythonSQLTableau
About the role
Key responsibilities & impact- Execute product roadmap initiatives for the Investments Management ecosystem across LUMI, TM1, and related BI platforms, partnering with Product Managers and Technology teams to deliver business value.
- Partner with business stakeholders to gather, analyze, and document business requirements, translating them into user stories, functional specifications, and acceptance criteria.
- Assist in managing and refining the product backlog by tracking requirements, documenting enhancements, and supporting prioritization activities.
- Perform detailed data analysis to identify business trends, process improvement opportunities, and actionable insights that support product decisions.
- Support the development, maintenance, and enhancement of foundational data products on LUMI (e.g., Acquisitions Database, Offer Data Layer, EIDM, PO3), ensuring data accuracy, consistency, and usability.
- Collaborate with Technology teams during design, development, testing, and deployment to ensure solutions meet business requirements and quality standards.
- Execute functional testing, validate business outcomes, and support User Acceptance Testing (UAT) activities for new product capabilities and enhancements.
- Build and maintain dashboards, reports, and self-service analytics solutions using Tableau, Power BI, or similar visualization tools to enable informed decision-making.
- Monitor product performance through defined metrics such as adoption, data quality, and operational efficiency, and recommend continuous improvements.
- Support data governance initiatives by validating data quality, documenting business rules, and ensuring adherence to enterprise standards.
- Research, evaluate, and pilot opportunities to leverage Gen AI capabilities to improve productivity, automate manual processes, and enhance user experiences.
- Partner with Product, Finance, and Technology teams to analyze business problems, identify solution options, and support delivery of scalable data and technology solutions.
- Prepare product documentation, process flows, release notes, training materials, and stakeholder communications to support successful product adoption.
- Support recurring planning and governance activities, including monthly AENB 81 and VCC documentation, reporting, and operational processes.
Requirements
What you’ll need- Experience in business analysis or data analytics with exposure to large and complex datasets.
- Foundational understanding of product management concepts, Agile methodologies, and software development lifecycle.
- Experience translating business requirements into user stories, process documentation, or functional specifications.
- Proficiency in SQL/Bigquery/Lumi and Hive / Yellowbrick; Python knowledge is preferred.
- Experience with Tableau, Power BI, TM1, or similar reporting and visualization platforms is preferred.
- Understanding of data modeling, data governance, and data quality principles.
- Strong analytical and problem-solving skills with the ability to synthesize complex information into meaningful insights.
- Excellent written and verbal communication skills with the ability to collaborate across business and technology teams.
- Bachelor's degree in Finance, Mathematics, Statistics, Computer Science, Information Systems, Engineering, or a related field.
- Familiarity with Gen AI tools and productivity platforms (e.g., ChatGPT, Gemini, Claude, Microsoft Copilot) is preferred.
Benefits
Comp & perks- Competitive base salaries
- Bonus incentives
- Support for financial-well-being and retirement
- Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location)
- Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need
- Generous paid parental leave policies (depending on your location)
- 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