Data Science Analyst

American Express

. Deliver on forecasting and actualization of key Finance and Acquisition KPIs to provide an early read for agile decisions .

Posted 10/19/2026full-timeGurugram • IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong analytical skills and the ability to deliver actionable insights through data analysis and modeling. Proficient in utilizing tools like Python, SQL, and data visualization platforms to support financial forecasting and business performance optimization.

Highest-signal resume keywords

Strong Analytical SkillsPython ProgrammingSQL ProficiencyData Visualization with TableauFinancial Forecasting

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data MiningData CleansingStatistical ModelingHypothesis TestingMachine LearningForecastingKPI ActualizationBusiness Performance IndicatorsFinancial Profitability ModelsMarketing Investment Optimization

Soft Skills

Excellent Presentation SkillsInterpersonal SkillsCollaborationAdaptabilityProblem-Solving

Tools & Technologies

TableauPower BIGoogle CloudPySparkHive

Industry Keywords

FinanceAcquisitionLTVBusiness InsightCross-Functional Teams

Tech Stack

Tools & technologies

CloudPySparkPythonSQLTableau

About the role

Key responsibilities & impact

Deliver on forecasting and actualization of key Finance and Acquisition KPIs to provide an early read for agile decisions
Support American Express planning processes with yearly and long-term forecasts for key metrics
Provide insights into welcome offers and incentive investments across international markets
Support LTV and finance profitability models and enable optimization of marketing investments
Deliver analytical studies with actionable insights while engaging with partners on their questions
Design and deliver high-quality business insight suites, scalable solutions, and accurate scorecards
Work with cross-functional teams to identify opportunities, understand business processes, and propose new solutions
Adapt to emerging technology to develop clean, well-executed concepts and coordinate with cross-functional teams
Analyze the existing environment, derive opportunities, and recommend alternative solutions
Plan project deliverables, prioritize day-to-day tasks, create project documentation, design, and monitor business performance indicators
Respond to ad-hoc solution-support requests without impacting quality or timeliness

Requirements

What you’ll need

Bachelors in Statistics/Mathematics/Economics/Engineering with relevant experience
Work Experience: 0-18 months
Strong analytical skills combined with excellent presentation and interpersonal skills
Working knowledge of Python, MLS, PySpark, SQL, Hive, Google Cloud
Working knowledge of data visualization tools like Tableau and Power BI will be advantage
Hands on with data mining, cleansing, extraction/transformation to enable analysis, interpretation, and insights
Hands on in modelling, ML, statistics and hypothesis testing techniques
Offer of employment is conditioned upon 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