Position:
• Data Analyst, Data Analytics (SQL, Python, GenAI)
Company:
• American Express
Location:
• Gurugram, Haryana, India
Job Type:
• Full Time
Job Mode:
• Hybrid
Job Requisition ID:
• 26009704
Years of Experience:
• 0 to 2 Years
Company Description
• American Express is one of the world's most recognized financial services organizations, serving customers across numerous countries through a broad range of payment, lending, and financial solutions.
• The company has built its reputation through a long history of innovation, customer trust, operational excellence, and a strong commitment to delivering exceptional service experiences.
• American Express operates across consumer, commercial, and merchant services segments, helping businesses and individuals manage spending, improve financial efficiency, and access valuable rewards and benefits.
• The organization emphasizes a culture where employees are encouraged to contribute ideas, challenge conventional approaches, and participate in meaningful initiatives that impact customers and business performance.
• With decades of experience in the financial services sector, American Express continues to invest heavily in technology, analytics, artificial intelligence, digital transformation, and data driven decision making.
• The company views data as a strategic asset and relies on analytical teams across multiple functions to generate insights that influence business growth, customer engagement, product development, and operational effectiveness.
• Employees at American Express gain exposure to large scale business challenges, advanced analytical tools, global stakeholders, and opportunities to develop expertise across different domains.
• The company actively supports employee growth through structured learning opportunities, leadership development programs, mentoring initiatives, and internal mobility options.
• Diversity, inclusion, collaboration, and innovation are central pillars of the organizational culture.
• American Express promotes an environment where individuals are encouraged to bring their unique perspectives while working together toward common business objectives.
• The company offers flexible working arrangements depending on business requirements and role responsibilities, helping employees maintain both professional and personal priorities.
• As a globally respected brand, American Express continues to create opportunities for professionals interested in analytics, technology, marketing, risk management, and business strategy.
Profile Overview
• This opportunity is part of the Analytics, Investment and Marketing Enablement team, commonly referred to as AIM.
• The AIM team functions as a key analytical partner supporting Global Commercial Services Marketing operations.
• The primary purpose of the team is to generate actionable insights that help business leaders make informed decisions regarding customer acquisition, engagement, marketing effectiveness, and profitability.
• The selected candidate will contribute to campaign measurement analytics across various acquisition and engagement initiatives.
• The role focuses on evaluating marketing performance, measuring return on investment, understanding customer behavior, and supporting strategic decision making through data analysis.
• The analyst will work closely with marketing teams, business stakeholders, leadership groups, and cross functional partners to understand business requirements and translate them into analytical solutions.
• A significant aspect of the role involves working with large datasets originating from multiple systems and transforming them into meaningful insights that support growth initiatives.
• The individual will be responsible for creating reports, conducting analysis, identifying trends, and presenting recommendations to stakeholders.
• The role requires strong proficiency in analytical thinking, problem solving, communication, and project execution.
• Candidates will be expected to handle multiple projects simultaneously while ensuring high levels of accuracy and attention to detail.
• Since marketing campaigns often require continuous monitoring and optimization, the analyst will regularly assess performance metrics and recommend actions that improve effectiveness.
• The position also provides exposure to modern analytics technologies, including SQL, Python, Hive, PySpark, Tableau, Power BI, and emerging Generative AI applications.
• Individuals who enjoy working with data, solving business problems, and collaborating with diverse teams will find this role highly rewarding.
• The position offers a strong foundation for building a career in data analytics, marketing analytics, business intelligence, and advanced analytics.
Key Responsibilities
Campaign Measurement and Performance Analysis
• Support business stakeholders through detailed campaign measurement activities.
• Evaluate the effectiveness of acquisition and engagement campaigns.
• Analyze campaign performance metrics and identify opportunities for optimization.
• Assess marketing outcomes against business objectives.
• Measure return on investment for various marketing initiatives.
• Provide recommendations that improve future campaign effectiveness.
• Deliver actionable insights based on data analysis.
Data Analysis and Insight Generation
• Gather requirements from business stakeholders and convert them into analytical solutions.
• Explore large datasets from multiple internal sources.
• Identify meaningful trends, patterns, and business opportunities.
• Perform structured and ad hoc analyses to answer business questions.
• Utilize analytical techniques to support strategic initiatives.
• Generate insights that assist leadership teams in decision making.
Reporting and Dashboard Development
• Prepare recurring reports for marketing and sales leadership teams.
• Ensure timely delivery of monthly reporting requirements.
• Maintain high standards of accuracy and data quality.
• Create visual representations of analytical findings.
• Develop dashboards and visual summaries that facilitate decision making.
• Present insights in a clear and understandable manner.
Stakeholder Collaboration
• Build productive working relationships with business partners.
• Collaborate with marketing stakeholders on strategic initiatives.
• Support cross functional teams through data driven recommendations.
• Participate in discussions related to project feasibility and business requirements.
• Communicate findings to both technical and non technical audiences.
Project Management and Execution
• Manage multiple projects simultaneously.
• Prioritize activities according to business needs.
• Maintain accountability for project outcomes.
• Ensure deadlines are met consistently.
• Contribute to pilot programs and innovation initiatives.
• Adapt effectively to changing priorities and evolving business requirements.
Innovation and Continuous Improvement
• Explore new analytical methods and technologies.
• Contribute ideas that improve analytical efficiency.
• Support experimentation and testing initiatives.
• Challenge existing processes where improvements can be identified.
• Participate in innovation focused activities across the organization.
Qualifications
Educational Background
• Bachelor's or Master's degree in a quantitative discipline is preferred.
• Academic backgrounds may include Engineering, Statistics, Economics, Mathematics, Data Science, Computer Science, or related fields.
• Strong quantitative training is considered advantageous for this position.
Technical Skills
• Working knowledge of SQL for querying, extracting, and transforming data.
• Understanding of Python programming for analytics and automation.
• Familiarity with Hive and PySpark for large scale data processing.
• Knowledge of Tableau and Power BI for visualization and dashboard development.
• Exposure to statistical analysis and data mining methodologies.
• Ability to work with large structured and unstructured datasets.
Statistical Knowledge
• Understanding of hypothesis testing concepts.
• Knowledge of regression techniques.
• Familiarity with K Nearest Neighbors methods.
• Awareness of t tests and chi square tests.
• Ability to apply statistical concepts to practical business scenarios.
Communication Skills
• Strong verbal communication abilities.
• Strong written communication abilities.
• Ability to explain analytical findings clearly.
• Capability to present technical concepts to non technical audiences.
• Effective stakeholder management skills.
Problem Solving Skills
• Strong analytical mindset.
• Ability to investigate complex business issues.
• Capability to identify root causes and propose solutions.
• Willingness to work through ambiguity and uncertainty.
Professional Attributes
• High attention to detail.
• Strong ownership mentality.
• Positive attitude and growth oriented mindset.
• Ability to work independently when required.
• Commitment to delivering high quality work.
• Ability to learn quickly and adapt to changing circumstances.
Preferred Qualifications
• Prior experience in analytics related roles is advantageous.
• Experience between zero and two years is preferred.
• Exposure to marketing analytics is beneficial.
• Knowledge of campaign measurement methodologies is desirable.
• Familiarity with customer acquisition analytics is considered valuable.
• Experience using Python for analytical projects is preferred.
• Strong SQL capabilities are highly valued.
• Advanced Excel skills can be beneficial.
• Knowledge of R programming is considered an added advantage.
• Exposure to business intelligence tools is desirable.
• Experience working with stakeholders in commercial environments may be beneficial.
• Familiarity with marketing performance measurement frameworks can strengthen a candidate's profile.
Skills Required
Core Analytics Skills
• SQL
• Python
• Data Analytics
• Data Visualization
• Business Analysis
Data Technologies
• Hive
• PySpark
• Tableau
• Power BI
• Advanced Excel
Statistical Skills
• Hypothesis Testing
• Regression Analysis
• Chi Square Testing
• T Test Analysis
• K Nearest Neighbors
Professional Skills
• Communication
• Stakeholder Management
• Project Management
• Problem Solving
• Critical Thinking
• Team Collaboration
• Presentation Skills
• Time Management
• Adaptability
• Ownership Mindset
Additional Information
• The role is part of the Analytics and Risk Management career function.
• The position follows a hybrid work arrangement in Gurugram.
• Candidates may be required to support global stakeholders across different time zones.
• Flexible shift schedules may be necessary depending on business requirements.
• The organization encourages innovation, learning, and continuous professional development.
• Employees receive opportunities to work with experienced business leaders and analytical professionals.
• The position provides exposure to real business challenges involving marketing performance, customer acquisition, and commercial growth.
• Individuals joining the team can expect to work with large scale datasets and advanced analytical technologies.
• American Express promotes a collaborative culture where ideas and contributions are valued.
• The company invests significantly in employee development through training programs and career growth opportunities.
• Employees may have access to performance incentives and bonus programs.
• Health and wellness support programs are available depending on location and eligibility.
• Career advancement opportunities exist across analytics, business intelligence, marketing analytics, risk management, and data science functions.
• The role offers an excellent entry point for fresh graduates and early career professionals looking to build expertise in analytics within a globally recognized organization.
• Candidates who possess strong technical skills, analytical curiosity, communication abilities, and a desire to solve business problems through data are likely to thrive in this environment.
• This opportunity combines business exposure, technical development, stakeholder interaction, and analytical problem solving, making it a strong foundation for a long term career in analytics and data driven decision making.
Please click here to apply.
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