Job Overview
Role: Apprentice – Data Analytics Location: Gurugram, Haryana Experience: 0–11 months Qualification: B.Sc/BBA/BBM Key Skills: SQL, analytical and problem-solving abilities, Microsoft Office tools, Generative AI tools
Job Description
The Apprentice – Data Analytics program at American Express is a six-month opportunity designed to provide hands-on experience in analytics and business problem solving. Apprentices will work alongside experienced professionals, supporting projects related to Amex Offers and Digital Media Analytics. The role provides exposure to how data is used to understand customers, merchants, offers, business performance, and operational risks, making it particularly useful for graduates pursuing careers in data, business, marketing, or risk analytics.
Roles and Responsibilities
- Business Understanding: Develop an understanding of the American Express business and Amex Offers platform, including the merchant ecosystem, products, and Card Member journey.
- Data Analysis: Analyze business, merchant, offer, and customer data to identify trends, risks, opportunities, and actionable insights.
- Initiative Support: Support Amex Offers and Digital Media Analytics initiatives.
- Performance Monitoring: Monitor performance and support problem-solving activities.
- Targeting & Improvement: Support targeting and process improvement initiatives.
- Reporting & Recommendations: Prepare reports, dashboards, presentations, and structured recommendations.
- AI Tool Utilization: Use AI tools such as ChatGPT and Microsoft Copilot to improve research, analysis, productivity, and content creation.
- Cross-Functional Collaboration: Collaborate with cross-functional teams on analytics and business initiatives.
- Communication: Communicate insights and recommendations clearly.
- Skill Development: Develop proficiency in data tools and analytical techniques.
Skills and Eligibility Criteria
Educational Background: Graduate in Data Analytics, Business Analytics, Statistics, Economics, Marketing, Management, or a similar discipline.
Experience: 0–11 months of internship, academic project, or work experience.
Mandatory Technical Skills:
- Expertise in SQL
- Good working knowledge of MS Excel, PowerPoint, and Word
- Familiarity with Generative AI tools such as ChatGPT, Microsoft Copilot, Gemini, or similar LLM-based applications
Competencies:
- Basic analytical and problem-solving skills
- Strong verbal and written communication skills
- Academic projects, certifications, or coursework in analytics, AI, data science, business analysis, statistics, mathematics, economics, engineering, or related fields (Preferred)
- Exposure to dashboards and visualization tools such as Tableau or Power BI (Preferred)
- Interest in merchant marketing, customer analytics, digital media, offer performance, or risk management (Preferred)
- Exposure to Python (Preferred)
- Exposure to advanced AI/ML techniques (Preferred)