📋 Job Details at a Glance 📍 Location Gurugram, Haryana, India 🏢 Company American Express 👥 Experience 2+ years 🎓 Qualification Bachelor's or Master's Degree in Computer Science, Data Science, Statistics, Mathematics, Economics, Engineering, Business Analytics, or Related Quantitative Field 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹12–20 LPA* 🏢 Industry Technology 🛠 Key Skills Data Analysis Business Intelligence Statistical Analysis Product Analytics Data Visualization Analyst – Data Analytics at American Express — Full Details & How to Apply American Express is seeking an Analyst – Data Analytics in Gurugram, Haryana, India , where you'll leverage your analytical skills to drive impactful business decisions. This role offers a competitive salary and a chance to work with cutting-edge data tools. The demand for Analyst – Data Analytics jobs is surging as companies increasingly rely on data-driven insights to enhance customer experiences and operational efficiency. With American Express 's commitment to innovation, this role is pivotal in shaping strategies that resonate with millions of users worldwide. American Express , founded in 1850 , boasts a global workforce of over 60,000 employees and is recognized for its customer-centric approach. The company's emphasis on advanced analytics and business intelligence makes it an ideal environment for professionals looking to make a significant impact in the technology sector. This opportunity is perfect for 2023, 2024, 2025, 2026 graduates holding a Bachelor's or Master's Degree in Computer Science, Data Science, Statistics, Mathematics, Economics, Engineering, Business Analytics, or Related Quantitative Field . Candidates should have 2+ years experience in relevant fields, with a competitive salary ranging from ₹12–20 LPA* . In this role, you will work with essential skills such as Data Analysis , Business Intelligence , Statistical Analysis , Product Analytics , and Data Visualization . This exposure not only enhances your technical expertise but also opens doors to advanced career paths in analytics and business intelligence. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The core mission of the Analyst – Data Analytics role at American Express is to leverage data insights to drive strategic decisions and enhance customer engagement through analytical rigor. Analyze complex datasets using SQL and Python to derive actionable insights that inform business strategies. Utilize Tableau to create interactive dashboards that effectively communicate findings to stakeholders across various departments. Collaborate with Marketing and Product Development teams to align analytics with specific business objectives and enhance overall performance. Monitor key performance metrics and report on trends to optimize product offerings and improve customer engagement strategies. Identify data quality issues proactively and propose solutions to enhance data integrity and reliability. Document analytical processes and findings to ensure transparency and facilitate knowledge sharing within the analytics team. Engage with clients to understand their needs and provide data-driven recommendations that improve service delivery and customer satisfaction. This role fosters an ownership culture where your analytical contributions directly impact business outcomes and customer experiences at American Express . Required Skills & Technical Competencies The Analyst – Data Analytics position requires a robust skill set in data analysis and visualization to effectively interpret and present data-driven insights. Technical Skills Data Analysis — intermediate — Proficiency in SQL is crucial for querying databases and extracting insights relevant to business strategies. Business Intelligence — intermediate — Experience with Tableau is essential for visualizing data and presenting it effectively to stakeholders. Statistical Analysis — intermediate — Familiarity with statistical methods is necessary to interpret data trends and inform decision-making. Product Analytics — intermediate — Understanding of product performance metrics will help in assessing the impact of changes on user behavior. Data Visualization — intermediate — Ability to create compelling visual narratives that simplify complex data for diverse audiences. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences where you applied these tools and methodologies effectively. Eligibility Criteria This role is designed for recent graduates and upcoming graduates with a strong analytical foundation in quantitative fields. Candidates must hold a Bachelor's or Master's Degree in Computer Science, Data Science, Statistics, Mathematics, Economics, Engineering, or Business Analytics. Eligible batches include 2023 to 2026 , allowing recent graduates and upcoming graduates to apply. A minimum of 2 years of relevant experience, including internships or projects in data analytics or business intelligence, is required. A minimum academic performance of 60% is preferred to ensure a strong analytical background. Having a portfolio or GitHub showcasing relevant projects can provide a competitive edge in the application process. Documentation & Portfolio Requirements Ensure your resume is clear and concise, highlighting relevant experiences and skills. Include links to your portfolio or GitHub to showcase your analytical projects. Pro tip: Tailor your application to highlight specific projects where you utilized SQL and Tableau to solve real business problems. Salary for Analyst – Data Analytics at American Express 💰 Compensation ₹12–20 LPA* The advertised compensation for the Analyst – Data Analytics role at American Express is ₹12–20 LPA* . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Recommended Courses & Preparation Tips for Analyst – Data Analytics Upskilling with the right resources significantly enhances your chances of selection for the Analyst role, equipping you with essential skills and knowledge. Recommended Courses & Resources Business Intelligence — This course provides foundational knowledge in data-driven decision-making, crucial for analytics. Data Visualization — Learn to present data insights effectively, a key skill for any analyst. KodNest — Gain hands-on experience with real-world data projects, enhancing your practical skills. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor your resume — Ensure alignment with the job description. ❌ Neglecting to quantify achievements — Use metrics to showcase impact. ❌ Omitting technical skills — Include all relevant tools mentioned in the job description. ❌ Submitting a generic cover letter — Address the specific role and company. ❌ Not preparing for technical interviews — Practice relevant data analysis problems. ❌ Ignoring the importance of networking — Reach out to current employees for insights. Before You Apply — Checklist ✅ Research American Express and familiarize yourself with its products and culture before applying. ✅ Tailor your resume to include relevant skills and experiences that match the job description. ✅ Prepare a cover letter that specifically addresses why you are a good fit for the Analyst role. ✅ Gather any necessary documents, such as transcripts or certifications, to support your application. ✅ Ensure your LinkedIn profile is updated and reflects your skills and experiences relevant to data analytics. ✅ Practice common data analysis interview questions and prepare examples from your past experiences. ✅ Follow the application instructions carefully, ensuring all fields are completed accurately. ✅ Set reminders to track the status of your application and follow up if necessary. Resume Tailoring & ATS Keywords for Analyst – Data Analytics Optimizing your resume for ATS is crucial for ensuring it gets noticed for the Analyst role, as many companies use automated systems to screen applications. ATS Keywords to Include Data Analysis Business Intelligence Statistical Analysis Product Analytics Data Visualization SQL Python Tableau Data Quality Performance Metrics Cross-Functional Collaboration Client Engagement Resume Tips for This Role Highlight specific projects where you utilized data analysis tools, demonstrating your practical experience. Emphasize teamwork and collaboration experiences, especially in cross-functional settings relevant to analytics. Include links to your portfolio or GitHub showcasing your data projects to provide tangible evidence of your skills. Optimize your resume for ATS by including keywords from the job description, particularly technical skills. Avoid generic statements; focus on quantifiable achievements and specific tools used in your previous roles. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including irrelevant work experiences that do not pertain to data analytics, as they can dilute your application. How to Apply for Analyst – Data Analytics at American Express Apply Now — American Express Visit the application portal and create an account to start your application. Upload your resume, ensuring it is tailored to highlight relevant skills for the Analyst role. Fill out the application form carefully, providing accurate information about your education and experience. After submission, you can expect a confirmation email regarding your application status. Track your application through the portal and follow up if you do not hear back within a reasonable timeframe. Applications reviewed on rolling basis — early submission recommended. Apply Now — American Express NexisGrow.com does not charge any fees for job applications. American Express American Express was founded in 1850 and has since evolved into a global leader in payment solutions, with its headquarters located in New York City . The company operates in over 130 countries , serving over 150 million customers worldwide . With a workforce of approximately 60,000 employees , American Express has established a significant presence in Gurugram, Haryana . The core offerings of American Express include its widely recognized charge cards, credit cards, and travel-related services. Notable products such as the American Express Platinum Card and American Express Gold Card cater to a diverse clientele. Additionally, the company provides innovative payment solutions through its American Express Network , enhancing customer experiences globally. American Express has been acknowledged for its inclusive work culture, consistently ranking high on Glassdoor for employee satisfaction. The company has received accolades such as the 2022 Best Places to Work award and is recognized for its diversity initiatives, including the American Express Leadership Academy , which fosters professional growth among employees. Recently, American Express announced a strategic investment in AI-driven analytics, aimed at enhancing customer service and operational efficiency. This initiative reflects the company's commitment to innovation and its focus on leveraging technology to improve user experiences. Additionally, American Express has expanded its digital payment solutions to cater to evolving market demands. For freshers in Technology, American Express offers a robust career launchpad, providing opportunities to learn from industry leaders in data analytics. The company emphasizes exposure to global best practices and cutting-edge technologies, making it an ideal environment for skill development and professional growth in fields such as data analysis and business intelligence. Company Details Industry Technology Location Gurugram, Haryana, India Connect With Us Careers Apply Now Website 🔗 egug.fa.us2.oraclecloud.com Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Analyst – Data Analytics at American Express? Eligibility Tap to expand + Answer Candidates with Bachelor's or Master's Degree in Computer Science, Data Science, Statistics, Mathematics, Economics, Engineering, Business Analytics, or Related Quantitative Field and 2+ years experience are eligible. Eligible batches: 2023, 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Data Analysis, Business Intelligence, Statistical Analysis, Product Analytics, Data Visualization. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹12–20 LPA*. Final offer depends on skills, experience, and interview performance. ? What is the interview process at American Express? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Data Analysis, Business Intelligence, Statistical Analysis, Product Analytics, Data Visualization. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Analyst – Data Analytics interview? Preparation Tap to expand + Answer (1) Core concepts of Data Analysis, Business Intelligence, Statistical Analysis, Product Analytics, Data Visualization, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) American Express research, (5) Clear communication. ? What is the work culture like at American Express? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in Gurugram Browse all Tech jobs Latest Fresher jobs More jobs at American Express Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. 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