📋 Job Details at a Glance 📍 Location Gurugram, Haryana, India 🏢 Company American Express 👥 Experience 0-2 years 🎓 Qualification Bachelor’s or Master’s in Computer Science, Engineering, Statistics, Mathematics, Physics or another quantitative field 📅 Eligible Batch 2022, 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary ₹10–₹18 LPA (estimated) 🏢 Industry Technology 🛠 Key Skills SQL Hive Python R LUMI Tableau Power BI Analyst – Data Analytics at American Express — Full Details & How to Apply American Express is seeking an Analyst – Data Analytics in Gurugram, Haryana, India , where freshers can leverage their quantitative skills to impact data-driven strategies directly. This role is a unique opportunity for recent graduates to enter the booming field of data analytics, where their insights will shape critical business decisions. The demand for Analyst – Data Analytics jobs is surging in the technology sector, as companies increasingly rely on data-driven insights to guide their strategies. With American Express 's commitment to innovation and customer-centric solutions, this position plays a vital role in enhancing KYC health monitoring and data strategy, ensuring compliance while improving customer experience. American Express , founded in 1850 , boasts over 60,000 employees globally and is recognized for its innovative financial services. The company’s culture emphasizes collaboration and growth, making it an ideal environment for new talent to thrive. This role offers exposure to advanced tools like Tableau and Power BI , setting it apart from similar positions in the market. We encourage 2022, 2023, 2024, 2025 graduates with a Bachelor’s or Master’s in Computer Science, Engineering, Statistics, Mathematics, Physics or another quantitative field to apply. Candidates should have 0-2 years experience and can expect a competitive salary ranging from ₹10–₹18 LPA (estimated) . In this role, you will work with essential skills such as SQL , Hive , Python , R , LUMI , Tableau , and Power BI . This experience not only enhances your technical expertise but also opens doors to advanced career opportunities in data analytics and related fields, paving the way for significant professional growth. 📊 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-driven insights to enhance decision-making processes and improve customer experiences through meticulous analysis. Analyze large datasets using SQL to derive actionable insights that inform business decisions and drive operational improvements. Utilize Python for data cleaning and preprocessing, ensuring high-quality data is available for comprehensive analysis. Collaborate with the KYC compliance team to monitor data health and identify trends affecting customer onboarding, enhancing compliance measures. Track performance metrics related to data accuracy and reporting efficiency, aiming for continuous improvement in data handling processes. Take initiative in developing data-driven strategies that enhance customer experience and operational efficiency through targeted analysis. Document findings and present reports using Tableau , ensuring clarity and accessibility for stakeholders to facilitate informed decision-making. Engage with clients to resolve data-related queries, applying problem-solving skills to enhance service delivery and customer satisfaction. This role fosters an ownership culture, allowing analysts to directly impact business outcomes through their analytical contributions and strategic insights. Required Skills & Technical Competencies The Analyst – Data Analytics position demands a robust skill set in data analysis and visualization tools to effectively interpret and present data insights. Technical Skills SQL — entry — essential for querying databases and extracting relevant data for analysis, requiring proficiency in writing complex queries. Python — entry — used for data manipulation and analysis, enabling automation of repetitive tasks and enhancing efficiency in data processing. Tableau — entry — applied for creating interactive data visualizations, crucial for presenting insights to non-technical stakeholders effectively. Power BI — entry — utilized for business intelligence reporting, allowing for real-time data analysis and decision-making to support business objectives. R — entry — important for statistical analysis and modeling, providing deeper insights into data trends and patterns to inform strategies. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences where you applied these tools to achieve measurable outcomes. Eligibility Criteria This role is designed for recent graduates eager to enter the data analytics field with a strong foundation in quantitative disciplines. Candidates must hold a Bachelor’s or Master’s degree in Computer Science , Engineering , Statistics , Mathematics , Physics , or a related quantitative field. Eligible batches include 2022 , 2023 , 2024 , and 2025 , allowing recent graduates to apply and kickstart their careers. No prior experience is required, making this role ideal for freshers eager to enter the data analytics field. A minimum academic performance of 60% is preferred, reflecting a solid understanding of quantitative concepts. 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 your educational background, relevant projects, and technical skills. Include links to your portfolio or GitHub to showcase your work. Pro tip: Tailor your application to highlight specific projects where you utilized SQL or Python to solve real-world problems, demonstrating your analytical capabilities. Salary for Analyst – Data Analytics at American Express 💰 Compensation ₹10–₹18 LPA (estimated) The advertised compensation for the Analyst – Data Analytics role at American Express is ₹10–₹18 LPA (estimated) . 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 being selected for the Analyst role at American Express . Recommended Courses & Resources SQL — Essential for managing and querying databases effectively in data analytics. Python — A versatile programming language crucial for data manipulation and analysis. R — Important for statistical analysis and data visualization in analytics projects. Tableau — Key for creating interactive data visualizations and dashboards. KodNest — Provides practical coding experience, enhancing your analytical 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 for the specific role — ensure your skills align with the job description. ❌ Neglecting to showcase relevant projects or internships — include specific examples of your work. ❌ Overloading your resume with jargon without context — use clear language to describe your skills. ❌ Ignoring the importance of a cover letter — use it to explain your interest in data analytics. ❌ Submitting an application without proofreading — always check for typos and grammatical mistakes. ❌ Not preparing for interviews by researching the company — this can result in missed opportunities to impress. Before You Apply — Checklist ✅ Research American Express and understand its core values and recent developments. ✅ Update your resume to reflect relevant skills and experiences tailored to the Analyst role. ✅ Prepare a cover letter that articulates your interest in data analytics and the company. ✅ Gather any supporting documents, such as transcripts or portfolios, that showcase your qualifications. ✅ Practice common interview questions related to data analytics and problem-solving. ✅ Ensure you have a professional email address and contact information on your resume. ✅ Submit your application through the provided link, ensuring all fields are completed accurately. ✅ Follow up on your application status after a week to express continued interest. Resume Tailoring & ATS Keywords for Analyst – Data Analytics Optimizing your resume for ATS is crucial for standing out in the application process for this role. ATS Keywords to Include Data Analytics SQL Python Tableau KYC Monitoring Data Strategy Statistical Analysis Problem-Solving Reporting Data Visualization Business Intelligence Trend Analysis Resume Tips for This Role Highlight relevant coursework or projects that demonstrate your analytical skills and familiarity with data tools. Emphasize teamwork and collaboration experiences, especially in data-related projects, to align with the company's culture. Include any internships or practical experiences that showcase your ability to apply theoretical knowledge in real-world scenarios. Optimize your resume for ATS by incorporating keywords from the job description, ensuring it passes initial screenings. Avoid including unrelated work experiences or skills that do not pertain to data analytics or the specific role. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including generic objectives or summaries that do not add value to your application for this specific role. How to Apply for Analyst – Data Analytics at American Express Apply Now — American Express Visit the application portal and create an account if you don't have one. Upload your resume, ensuring it is tailored to the Analyst role at American Express . Fill out the application form accurately, providing all requested information. After submission, expect a confirmation email regarding your application status. Use the application portal to track the status of your application and any updates. Applications reviewed on a 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 is headquartered in New York City . With operations in over 130 countries , the company employs a workforce that serves millions of customers globally. Its extensive reach in the financial services sector highlights its significant role in the industry. The core offerings of American Express include a variety of charge cards, credit cards, and travel-related services. Notable products such as the American Express Platinum Card and the American Express Gold Card cater to diverse customer needs, enhancing the overall user experience in financial transactions. American Express has received numerous accolades for its workplace culture, including a Glassdoor rating of 4.2/5 . The company actively promotes employee satisfaction through programs such as mentorship initiatives and professional development opportunities, fostering a supportive environment for its workforce. Recently, American Express announced a significant investment in AI technology aimed at enhancing customer service and operational efficiency. This initiative reflects the company's ongoing commitment to innovation and adapting to the evolving technological landscape. Starting a career at American Express offers freshers unparalleled exposure to industry-leading practices in data analytics . With access to advanced tools like SQL , Tableau , and Python , new employees can develop essential skills that are highly valued in the technology sector. 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 in Computer Science, Engineering, Statistics, Mathematics, Physics or another quantitative field and 0-2 years experience are eligible. Eligible batches: 2022, 2023, 2024, 2025. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: SQL, Hive, Python, R, LUMI. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹10–₹18 LPA (estimated). 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: SQL, Hive, Python, R, LUMI. ? 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 SQL, Hive, Python, R, LUMI, (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 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. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com