Position:
• Analyst, Data Analytics
Company:
• American Express
Location:
• Gurugram, Haryana, India
Job Type:
• Full Time
Job Mode:
• Hybrid
Job Requisition ID:
• 26009782
Years of Experience:
• 0 to 3 Years (Estimated based on role level and qualifications)
Company Description
About American Express
• American Express is one of the world's most recognized financial services organizations, serving millions of customers, merchants, and business partners across multiple countries.
• The company has built a strong reputation through decades of delivering trusted payment solutions, customer focused financial products, rewards programs, and digital services.
• American Express combines technology, analytics, innovation, and customer centric thinking to create products and experiences that help individuals and businesses achieve their financial goals.
• The organization continues to invest heavily in digital transformation initiatives, advanced analytics capabilities, artificial intelligence solutions, and modern technology platforms that improve customer experiences and business performance.
• Employees at American Express work in an environment that promotes collaboration, innovation, continuous learning, and professional growth.
• The company encourages team members to contribute ideas, solve challenging business problems, and participate in projects that have meaningful business impact.
• Through its Enterprise Digital organization, American Express focuses on creating scalable digital platforms and modern customer experiences that support global business operations.
• Teams within the company leverage large volumes of data, sophisticated analytics techniques, experimentation frameworks, and digital technologies to improve products, optimize customer journeys, and support strategic decision making.
• American Express maintains a strong commitment to integrity, trust, security, customer service, and responsible business practices.
• Employees are provided with opportunities to develop new skills, expand their expertise, and advance their careers while contributing to innovative business initiatives across global markets.
Profile Overview
About the Role
• The Analyst, Data Analytics position is part of the Enterprise Digital Experimentation and Analytics team at American Express.
• This role supports the organization's efforts to improve digital experiences, optimize marketing performance, and drive business growth through data driven decision making.
• The selected candidate will work closely with performance marketing teams, product stakeholders, business leaders, and analytics professionals to generate actionable insights from large and complex datasets.
• The position focuses on understanding customer behavior, campaign effectiveness, digital engagement metrics, and product performance indicators.
• The analyst will be responsible for building performance measurement frameworks and defining meaningful key performance indicators that help evaluate business success.
• A significant portion of the role involves analyzing data from digital platforms, marketing campaigns, customer interactions, and enterprise systems.
• The individual will contribute to strategic initiatives aimed at improving customer acquisition, increasing engagement, enhancing user experiences, and maximizing business outcomes.
• The role requires strong analytical thinking, data interpretation skills, and the ability to convert complex findings into practical business recommendations.
• Candidates will collaborate with cross functional teams and support decision makers by delivering insights that influence product development, marketing optimization, and operational improvements.
• This position offers exposure to modern analytics tools, large scale datasets, experimentation methodologies, and advanced digital business environments.
Key Responsibilities
Performance Marketing Analytics
• Support analytical initiatives focused on performance marketing channels.
• Evaluate campaign performance using quantitative techniques and business metrics.
• Analyze customer acquisition trends and marketing effectiveness.
• Measure channel performance using established analytical frameworks.
• Generate recommendations that improve marketing outcomes and customer engagement.
KPI Development and Monitoring
• Design meaningful performance indicators for business and product evaluation.
• Build dashboards and measurement frameworks that track operational success.
• Monitor trends, anomalies, and business performance indicators.
• Identify opportunities for process improvements through data analysis.
• Ensure measurement approaches align with business objectives.
Product and Capability Support
• Contribute analytical support for new product initiatives.
• Assist in evaluating product features and enhancements.
• Provide insights that influence product development decisions.
• Measure adoption and usage trends across digital products.
• Help stakeholders understand customer interaction patterns.
Campaign Analysis and Reporting
• Develop reports that summarize campaign performance and outcomes.
• Identify learnings and optimization opportunities from marketing activities.
• Present findings in a clear and actionable format.
• Translate analytical observations into business recommendations.
• Support ongoing improvement efforts through continuous measurement.
Strategic Analytics
• Conduct detailed investigations into customer behavior and digital interactions.
• Analyze large volumes of enterprise and customer data.
• Support decision making through quantitative evidence and business intelligence.
• Deliver insights that improve operational efficiency and customer experiences.
• Partner with teams across the organization to address business challenges.
Cross Functional Collaboration
• Work closely with product managers, marketers, analysts, and technology teams.
• Communicate findings effectively to both technical and non technical audiences.
• Participate in discussions that influence business strategy.
• Build productive relationships with internal stakeholders.
• Support alignment across teams through data driven recommendations.
Qualifications
Educational Requirements
• Bachelor's degree in a quantitative discipline is required.
• Advanced education in Finance, Engineering, Mathematics, Computer Science, Statistics, Analytics, or related fields is preferred.
• Strong academic foundation in analytical and quantitative subjects is advantageous.
Technical Skills
• Knowledge of SQL for querying, transforming, and analyzing data.
• Understanding of Python programming for analytics and automation.
• Familiarity with big data technologies such as Hive and Spark.
• Ability to work with structured and unstructured datasets.
• Experience with data processing, reporting, and analysis methodologies.
Analytical Capabilities
• Strong problem solving abilities.
• Understanding of statistical analysis concepts.
• Ability to identify patterns and trends within large datasets.
• Knowledge of data interpretation and business intelligence principles.
• Capability to translate data into business insights.
Communication Skills
• Excellent written communication skills.
• Strong verbal presentation abilities.
• Ability to explain technical concepts in business friendly language.
• Comfortable working with stakeholders from different functional areas.
• Effective collaboration and relationship management capabilities.
Professional Attributes
• Strong attention to detail.
• Ability to manage multiple priorities simultaneously.
• Curiosity and willingness to learn new technologies.
• Ability to work in fast paced environments.
• Strong ownership mindset and accountability.
Preferred Qualifications
• Previous exposure to performance marketing analytics.
• Understanding of digital marketing measurement.
• Familiarity with experimentation and testing methodologies.
• Knowledge of customer acquisition analytics.
• Exposure to enterprise scale digital products and platforms.
Additional Information
Work Environment
• The role follows a hybrid working model.
• Employees collaborate both remotely and from office locations.
• Teams work across multiple business functions and geographies.
• The position offers exposure to global business operations.
Learning and Career Development
• Access to training programs and professional development opportunities.
• Opportunities to work on high impact strategic initiatives.
• Exposure to advanced analytics tools and technologies.
• Continuous learning through collaboration with experienced professionals.
• Career progression opportunities within analytics and technology functions.
Employee Benefits
• Competitive compensation package.
• Performance based incentives and bonus opportunities.
• Healthcare and wellness related benefits.
• Financial well being support programs.
• Retirement related benefits based on location and eligibility.
Wellness and Support
• Employee wellness initiatives.
• Mental health support programs.
• Counseling and employee assistance resources.
• Work life flexibility options.
• Programs supporting personal and professional growth.
Diversity and Inclusion
• Commitment to equal employment opportunities.
• Inclusive workplace culture.
• Respect for diverse perspectives and backgrounds.
• Focus on collaboration and belonging.
• Fair and transparent hiring practices.
Why This Opportunity Stands Out
• Opportunity to work for a globally recognized financial services organization.
• Exposure to large scale analytics and digital transformation initiatives.
• Strong learning environment for early career analytics professionals.
• Hands on experience with SQL, Python, Hive, Spark, and enterprise datasets.
• Direct involvement in performance marketing analytics and business decision making.
• Opportunity to contribute to customer experience improvements and business growth through data driven insights.
• Strong career development pathways within analytics, technology, and digital business functions.
Please click here to apply.
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