📋 Job Details at a Glance 📍 Location Gurgaon, Haryana, India 🏢 Company American Express 👥 Experience 1-3 Years 🎓 Qualification Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, Engineering, Data Analytics, or a related quantitative discipline 📅 Eligible Batch 2021, 2022, 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary ₹10–16 LPA 🏢 Industry Non-Tech 🛠 Key Skills Python SQL Hive PySpark Microsoft Excel Advanced Statistics Data Analytics Business Insights Business Analyst – Data Analytics at American Express — Full Details & How to Apply American Express is seeking a Business Analyst – Data Analytics in Gurgaon, Haryana, India , where you can leverage your analytical skills to drive business insights and solutions. This role offers a unique opportunity to influence strategic projects that enhance customer experiences and operational efficiency. The demand for data analytics professionals is surging in India, particularly in the non-tech sector, as companies increasingly rely on data-driven decision-making. The Business Analyst – Data Analytics role at American Express is pivotal in this context, enabling you to contribute to essential projects that shape the future of the company. American Express , founded in 1850, employs over 60,000 people globally and is recognized for its innovative financial services. The company’s commitment to fostering a culture of excellence and continuous improvement makes it an attractive employer for aspiring data analysts. This position is ideal for 2021, 2022, 2023, 2024, 2025 graduates with a Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, Engineering, Data Analytics, or a related quantitative discipline and 1-3 years experience . The salary for this role ranges from ₹10–16 LPA , making it a lucrative opportunity for freshers entering the field. In this role, you will work with essential skills such as Python , SQL , Hive , PySpark , Microsoft Excel , Advanced Statistics , and Data Analytics . This exposure will not only enhance your technical capabilities but also open doors to advanced analytics roles, setting you apart in the competitive job market. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated non-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 Business Analyst – Data Analytics at American Express is to leverage data-driven insights to enhance strategic decision-making across various business units. Analyze large datasets using SQL to generate actionable business insights that drive strategic decisions and improve operational efficiency. Utilize Python for data manipulation and analysis, ensuring data integrity and accuracy in reporting for informed decision-making. Collaborate with cross-functional teams, including Marketing and Product Development, to align data-driven strategies that meet business objectives. Monitor key performance metrics using Advanced Statistics to evaluate the effectiveness of business initiatives and recommend data-backed improvements. Take ownership of data projects, from conception to execution, ensuring timely delivery of insights that support business goals. Document analytical processes and findings to facilitate knowledge sharing and support decision-making across the organization. Engage with stakeholders to understand their data needs and provide tailored analytical solutions using Microsoft Excel for visualization. This role fosters an ownership culture, allowing analysts to directly impact business outcomes through insightful data analysis and strategic recommendations. Required Skills & Technical Competencies The ideal candidate must possess a robust skill profile that includes proficiency in data analytics tools and techniques essential for driving business insights. Technical Skills Python — advanced — utilized for data manipulation and analysis, leveraging libraries like Pandas and NumPy to ensure data accuracy. SQL — advanced — critical for querying databases and extracting relevant data for analysis, focusing on complex queries to derive insights. Hive — intermediate — used for managing and querying large datasets stored in Hadoop, essential for big data analytics and reporting. Advanced Statistics — advanced — necessary for interpreting data trends and making informed business recommendations based on statistical analysis. Microsoft Excel — advanced — utilized for data visualization and reporting, requiring advanced functions and pivot tables to present findings effectively. 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 candidates with a strong analytical foundation and relevant educational background in quantitative disciplines. Candidates must hold a Bachelor's degree in Statistics , Mathematics , Economics , Computer Science , Engineering , Data Analytics , or a related quantitative discipline. Eligible batches include 2021 , 2022 , 2023 , 2024 , and 2025 , ensuring fresh perspectives and recent academic knowledge. The role is suitable for candidates with 1-3 years of experience, allowing freshers to apply with relevant internships or projects. A minimum academic performance of 60% or CGPA of 6.0 is preferred to ensure a strong analytical background. Having a portfolio or GitHub showcasing relevant projects or internships can provide a competitive edge in the application process. Documentation & Portfolio Requirements Ensure your resume is clear and concise, highlighting your educational background, relevant skills, and any projects or internships related to data analytics. Pro tip: Include specific examples of how you utilized data analytics tools in your projects to demonstrate your hands-on experience and problem-solving capabilities. Salary for Business Analyst – Data Analytics at American Express 💰 Compensation ₹10–16 LPA The advertised compensation for the Business Analyst – Data Analytics role at American Express is ₹10–16 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 Business Analyst – Data Analytics Upskilling with the right resources significantly enhances your chances of selection for this specific role by demonstrating your commitment and proficiency in essential skills. Recommended Courses & Resources Microsoft Excel — Mastering Excel is crucial for data analysis and visualization tasks in this role. 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 — Customize your resume to highlight relevant experiences. ❌ Overlooking the importance of showcasing technical skills — Ensure you emphasize your proficiency in Python and SQL. ❌ Neglecting to highlight relevant internships or projects — Include experiences that demonstrate your analytical capabilities. ❌ Submitting a generic cover letter — Personalize your cover letter to address the specific role and company. ❌ Underestimating the importance of networking — Connect with industry professionals for insights and referrals. ❌ Not preparing for behavioral interview questions — Practice responses that showcase your problem-solving and teamwork skills. Before You Apply — Checklist ✅ Research American Express and its analytics initiatives to tailor your application. ✅ Update your resume to reflect relevant skills and experiences specific to the job description. ✅ Prepare a cover letter that articulates your interest in the role and the company. ✅ Gather any supporting documents, such as transcripts or certificates, to include with your application. ✅ Ensure your LinkedIn profile is up-to-date and reflects your analytical skills and experiences. ✅ Practice common interview questions related to data analytics and problem-solving. ✅ Reach out to current or former employees for insights into the company culture and role expectations. ✅ Set reminders for application deadlines and follow up if necessary. Resume Tailoring & ATS Keywords for Business Analyst – Data Analytics Optimizing your resume for ATS is crucial for ensuring it gets noticed for this role, as many companies use automated systems to filter applications. ATS Keywords to Include Business Analyst Data Analytics Python SQL Hive Advanced Statistics Microsoft Excel Business Insights Data Manipulation Performance Metrics Cross-functional Collaboration Problem-solving Resume Tips for This Role Highlight relevant coursework or projects that demonstrate your analytical skills and proficiency in required tools. Emphasize teamwork and collaboration experiences, particularly in data-driven projects, to align with the company culture. Include a portfolio link showcasing your analytical projects, especially those using Python or SQL. Optimize your resume for ATS by incorporating keywords from the job description, particularly technical skills. Avoid including unrelated work experiences that do not demonstrate your analytical capabilities or relevant skills. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including generic job descriptions that do not highlight your analytical skills or relevant experiences. How to Apply for Business 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 the job description and highlights relevant skills. Fill out the application form accurately, paying attention to details and required fields. After submission, you can expect a confirmation email regarding your application status. Track your application status through the portal for updates on the hiring process. 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 is headquartered in New York City . With a significant presence in over 130 countries , including Gurgaon, Haryana , the company employs over 60,000 employees globally. Its extensive network allows it to serve millions of customers, providing a robust platform for financial services. The core offerings of American Express include its widely recognized charge and credit card products , comprehensive travel services , and innovative payment solutions . Notable products such as the American Express Platinum Card and Membership Rewards program highlight the company's commitment to delivering exceptional value to its customers. American Express has received accolades such as a Glassdoor rating of 4.2 , reflecting its focus on employee satisfaction. The company fosters a supportive work environment through various mentorship and training programs, ensuring that employees are equipped with the skills necessary for success in their roles. Recently, American Express announced a strategic investment in AI technologies aimed at enhancing customer service and operational efficiency. This initiative underscores the company's commitment to innovation and adapting to the evolving financial landscape, further solidifying its position in the industry. For freshers looking to launch their careers in Non-Tech, American Express offers unparalleled access to mentorship and training programs. The company’s robust support system and focus on professional development make it an ideal environment for individuals eager to grow in the field of data analytics. Company Details Industry Non-Tech Location Gurgaon, 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 Business Analyst – Data Analytics at American Express? Eligibility Tap to expand + Answer Candidates with Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, Engineering, Data Analytics, or a related quantitative discipline and 1-3 Years experience are eligible. Eligible batches: 2021, 2022, 2023, 2024, 2025. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Python, SQL, Hive, PySpark, Microsoft Excel. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹10–16 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: Python, SQL, Hive, PySpark, Microsoft Excel. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Business Analyst – Data Analytics interview? Preparation Tap to expand + Answer (1) Core concepts of Python, SQL, Hive, PySpark, Microsoft Excel, (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. 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