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Business Analyst – Data Analytics
American Express. Use analytics to generate insights and partner with Amex Offers Marketing teams to drive higher offer redemption and merchant/customer satisfaction .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in analytics and data science, leveraging tools like Python, SQL, and advanced statistical techniques to generate actionable insights. Capable of managing multiple projects while aligning strategies with enterprise priorities and enhancing customer experiences.
Highest-signal resume keywords
Analytics & Insights & TargetingPythonSQLAdvanced Statistical TechniquesAdvanced Excel
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
AnalyticsData ScienceStatistical TechniquesAudience Growth StrategiesWhat-If Scenarios
Soft Skills
Consultative ApproachProblem SolvingQuick Decision MakingInnovation
Tools & Technologies
HivePySpark
Industry Keywords
Merchant BusinessConsumer BusinessCustomer SatisfactionOffer Redemption
Tech Stack
Tools & technologiesPySparkPythonSQL
About the role
Key responsibilities & impact- Use analytics to generate insights and partner with Amex Offers Marketing teams to drive higher offer redemption and merchant/customer satisfaction
- Drive consultative and strategic analytical projects focused on audience growth, industry and Amex Offers-based strategies
- Leverage the power of the closed loop through the American Express network to produce intelligent and relevant insights
- Work with partners located across the globe and across multiple business units
- Translate unstructured requests into analytical strategies and convert available information into actionable insights
- Manage multiple requests with a quick turnaround
- Envision partners’ broader problems and structure possible what-if scenarios
- Provide multiple solutions based on timeline and data availability
- Connect the role’s agenda to enterprise priorities and balance customer, partner, colleague, and shareholder needs
- Challenge the status quo and bring continuous innovation to existing offerings
- Make decisions quickly with integrity
- Deliver digital customer experiences
Requirements
What you’ll need- 1-3 years of relevant experience in analytics/data science domain
- Preferred: Experience in the merchant/ consumer business
- Bachelor's in Statistics/Mathematics/Economics/ Engineering with relevant experience
- Preferred: Post Graduation in Management /Statistics/Mathematics/ Economics/Engineering
- Analytics & Insights & Targeting
- Python, SQL, Hive, PySpark
- Advanced Statistical Techniques
- Advanced Excel
- Successful completion of a background verification check, subject to applicable laws and regulations
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