American Express is hiring for a fresher entry level Data Analyst role in India

Position:

• Analyst – Data Analytics

Company:

• American Express

Location:

• Gurugram, Haryana, India

Job type:

• Full-time

Job mode:

• Hybrid (mix of onsite presence in Gurugram and virtual collaboration)

Job requisition id:

• 25006223

Years of experience:

• 0–3 years preferred (entry-level focus)

Company description

• American Express is a globally recognized financial services firm with a legacy spanning over 170 years, known for its strong brand, customer loyalty and innovative payment solutions

• It operates in two primary segments – Global Consumer Services and Global Commercial Services – serving individuals, small businesses and large corporations

• The organization upholds a “backing promise” culture, ensuring colleagues support customers, communities and each other through integrity and teamwork

• International Operational Excellence, the expanded division where this role resides, covers risk management, regulatory response and product development across 27+ markets

• This team plays a critical role as the first line of defense by embedding robust control frameworks, guiding business growth while mitigating risks

• It drives enterprise-wide programs such as Financial Crimes Transformation and the creation of a first-line privacy function to strengthen data protection controls

• Colleagues experience a collaborative environment with emphasis on diversity, professional growth programs, flexible work arrangements and comprehensive well-being benefits

• The firm invests in digital transformation and advanced analytics, enabling teams to leverage cutting-edge technology to deliver seamless, data-driven customer experiences

• Career development is fostered through mentoring, training, cross-functional projects and global mobility opportunities

• American Express champions equal opportunity, promoting an inclusive workplace where all backgrounds and perspectives are valued

Profile overview

• The Analyst – Data Analytics will join the ICS Risk & Control Data Integrity team focused on combating financial crime and optimizing anti-money laundering (AML) measures

• Responsibilities include translating business and regulatory requirements into analytical solutions using SQL, Python and data visualization tools such as Tableau or Power BI

• The role involves working with large, heterogeneous data sets—both structured and unstructured—to uncover insights, monitor portfolio health and inform risk strategies

• You will partner closely with Compliance, Technology and PMO teams to ensure AML risk frameworks align with regulatory guidelines across various international markets

• The incumbent will create and maintain interactive dashboards to track Know Your Customer (KYC) and Know Your Business (KYB) metrics for cardmembers and legal entities

• You will define data-driven approaches to streamline AML processes, enhance customer experience and support strategic decision-making for business growth objectives

• The position demands proactive problem-solving, critical thinking, strong attention to detail and the ability to juggle multiple priorities in a fast-paced environment

• You will contribute to transformative initiatives including the International Financial Crimes Transformation program, helping design future-state AML solutions

• The role offers exposure to end-to-end risk management processes, from data extraction and analysis through to strategy formulation and stakeholder communication

• A collaborative mindset and strong communication skills are essential for translating complex analytics into actionable insights for diverse audiences

Qualifications

• Bachelor’s degree in a quantitative discipline such as Finance, Statistics, Economics, Mathematics or Engineering is preferred

• Up to two years of relevant professional experience in data analytics, risk management or financial services, ideally with an emphasis on AML or fraud prevention

• Proven proficiency in SQL for data extraction, Hive for big data queries and Python or R for advanced analytics, modeling and scripting tasks

• Hands-on experience with data visualization platforms (Tableau, Power BI or advanced Excel) for creating dashboards and reports that drive business actions

• Demonstrated ability to handle large data volumes—both structured tables and unstructured logs or documents—to derive meaningful patterns and metrics

• Strong analytical aptitude, with track record of designing, executing and documenting data-driven experiments and optimization strategies

• Excellent critical thinking and attention to detail, with a systematic approach to solving ambiguous problems under shifting regulatory requirements

• Effective verbal and written communication skills, capable of bridging technical and non-technical stakeholders to drive consensus and implementation

• Familiarity with payments industry dynamics, credit risk concepts, regulatory landscape and KYC/KYB processes is advantageous

• Self-motivated learner, comfortable picking up new tools, techniques and domain knowledge with minimal supervision

Additional info

• Competitive base salary complemented by bonus incentives, reflecting individual and team performance contributions

• Holistic benefits include comprehensive medical, dental and vision coverage, life insurance, disability support and financial-well-being programs

• Flexible work model offering hybrid, onsite or fully virtual arrangements tailored to role requirements and business needs

• Generous paid parental leave and access to global on-site wellness centers (location dependent) plus confidential counseling via the Healthy Minds program

• Opportunities for continuous learning through internal training platforms, certifications, rotational assignments and global mentorship networks

• Exposure to cutting-edge digital transformation efforts and enterprise-wide risk management programs, shaping the future of financial crime prevention

• Collaborative culture with global colleague communities, resource groups and inclusion initiatives ensuring all voices are represented and heard

• Background verification and regulatory checks are required as part of the hiring process, in compliance with local laws and regulations

• American Express operates as an equal opportunity employer, making hiring decisions independent of race, gender, religion, age or any other protected status

• This role offers a unique chance to launch a career in financial analytics at a premier institution, driving impactful risk strategies and innovation

Please click here to apply.

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