📋 Job Details at a Glance 📍 Location Gurugram, Haryana, India 🏢 Company American Express 👥 Experience Fresher 🎓 Qualification Bachelor’s / Master’s in Data Science, Statistics, Mathematics, Economics, Engineering or Related Field 📅 Eligible Batch 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹6–12 LPA (varies by experience) 🏢 Industry Technology 🛠 Key Skills Data Analytics Python SQL Statistics Machine Learning Data Science Analyst at American Express — Full Details & How to Apply American Express is seeking a Data Science Analyst in Gurugram, Haryana, India , offering freshers a chance to kickstart their careers with a salary range of ₹6–12 LPA . This role is an excellent opportunity for those looking to enter the technology sector and contribute to data-driven decision-making. The demand for skilled data professionals is at an all-time high, particularly in the technology sector. As companies increasingly rely on data analytics to guide their strategic initiatives, the Data Science Analyst role at American Express becomes crucial. This position supports the company's growth and aligns with the industry's shift towards data-centric operations. American Express is an employer with a rich history and global presence, having been founded in 1850 and employing over 60,000 individuals worldwide. This extensive network provides freshers with unparalleled support and mentorship opportunities, making it an ideal environment for career development in Data Science Analyst jobs . We encourage 2024, 2025, 2026 graduates with a Bachelor’s / Master’s in Data Science, Statistics, Mathematics, Economics, Engineering or Related Field to apply. This role is designed for fresher experience candidates, offering a competitive salary of ₹6–12 LPA (varies by experience) . In this role, you will gain hands-on experience with essential skills such as Data Analytics , Python , SQL , Statistics , and Machine Learning . These competencies will enhance your resume and open doors to advanced career opportunities within the technology sector, setting you apart from competitors in the job market. 📊 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 Data Science Analyst at American Express is tasked with transforming large datasets into actionable insights, directly influencing strategic decisions and enhancing product offerings. Analyze large datasets using Python and SQL to derive actionable insights that enhance decision-making processes. Utilize statistical methods to interpret data trends, impacting product offerings and marketing strategies. Collaborate with cross-functional teams, including Marketing and Product Development, to align data strategies effectively. Monitor and report on key performance metrics, assessing the effectiveness of data-driven initiatives. Take ownership of specific projects, driving results through data analysis and problem-solving techniques. Document findings and present comprehensive reports to stakeholders, ensuring clear communication of insights. Engage with clients to understand their needs and provide tailored data-driven solutions. This role fosters an ownership culture, allowing analysts to make a direct impact on business outcomes through data-driven insights. Required Skills & Technical Competencies The ideal candidate will possess a strong technical skill profile essential for effective data analysis and interpretation. Technical Skills Data Analytics — entry — essential for interpreting complex datasets and providing insights that drive business decisions. Python — entry — used for data manipulation and analysis, crucial for daily tasks in this role. SQL — entry — necessary for querying databases and extracting relevant data for analysis. Statistics — entry — foundational for understanding data distributions and making informed predictions. Machine Learning — entry — knowledge of algorithms will be evaluated through practical assessments during the hiring process. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency in each area. Eligibility Criteria This role is designed for fresh graduates eager to start their careers in data science with a strong analytical foundation. Candidates must hold a Bachelor's or Master's degree in Data Science , Statistics , Mathematics , Economics , Engineering , or related fields. Eligible batches include 2024 , 2025 , and 2026 , allowing fresh graduates to apply directly after completing their studies. No prior experience is required, making this role ideal for freshers eager to enter the data science field. A minimum academic performance of 60% is preferred, reflecting a solid understanding of core subjects. 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 skills, and any projects that demonstrate your capabilities in data analysis. Pro tip: Include links to your GitHub or project portfolio to showcase your practical experience with Python and SQL . Salary for Data Science Analyst at American Express 💰 Compensation ₹6–12 LPA (varies by experience) The advertised compensation for the Data Science Analyst role at American Express is ₹6–12 LPA (varies by experience) . 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 Data Science Analyst Upskilling with the right resources significantly enhances your chances of selection for the Data Science Analyst role at American Express . Recommended Courses & Resources Data Analytics — Essential for understanding data trends and insights. Python — A key programming language for data manipulation and analysis. SQL — Crucial for database management and data retrieval tasks. Machine Learning — Important for predictive modeling and advanced analytics. KodNest — Offers practical coding experience relevant to data science. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor the resume to the job description — Ensure alignment with required skills. ❌ Neglecting to showcase practical experience or projects — Highlight relevant data science projects. ❌ Overloading the resume with irrelevant information — Keep it concise and focused on key qualifications. ❌ Ignoring the importance of a cover letter — Use it to express enthusiasm and fit for the role. ❌ Not preparing for technical assessments — Practice relevant skills beforehand. ❌ Submitting applications without proofreading — Avoid errors that reflect poorly on attention to detail. Before You Apply — Checklist ✅ Research American Express and understand its core values and recent developments. ✅ Tailor your resume to highlight relevant skills and experiences for the Data Science Analyst role. ✅ Prepare a strong cover letter that articulates your interest and fit for the position. ✅ Gather any supporting documents, such as transcripts or project portfolios, to enhance your application. ✅ Review the application portal for specific submission guidelines and requirements. ✅ Practice common data science interview questions and technical assessments. ✅ Set reminders for application deadlines to ensure timely submission. ✅ Follow up on your application status after a reasonable period. Resume Tailoring & ATS Keywords for Data Science Analyst Optimizing your resume for ATS is crucial for standing out in the selection process for the Data Science Analyst role. ATS Keywords to Include Data Science Data Analytics Python SQL Statistics Machine Learning Problem Solving Data Visualization Predictive Modeling Statistical Analysis Data Interpretation Cross-Functional Collaboration Resume Tips for This Role Highlight relevant coursework or projects in Data Science to demonstrate practical knowledge. Emphasize skills in Python and SQL, as these are critical for the role. Include any internships or relevant experience, even if informal, to showcase your hands-on abilities. Optimize your resume for ATS by including keywords from the job description. Avoid generic statements; focus on specific achievements and skills relevant to data analysis. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including irrelevant work experience that does not relate to data science. How to Apply for Data Science Analyst at American Express Apply Now — American Express Visit the application portal and create an account to start your application. Upload your resume in PDF format, ensuring it is tailored to the job description. Fill out the application form accurately, paying attention to required fields. After submission, you can expect a confirmation email regarding your application status. Use the application portal to track your application progress and updates. Applications are reviewed on a rolling basis — early submission is 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 , the company employs over 60,000 people globally. This extensive footprint allows American Express to serve millions of customers with diverse financial needs. The core offerings of American Express include a range of financial services such as charge and credit card products , travel services , and payment solutions . Notable products like the American Express Platinum Card and Membership Rewards program exemplify the company's commitment to providing exceptional value to its customers. American Express has received numerous accolades for its workplace culture, including a Glassdoor rating of 4.2 . The company actively promotes employee engagement through programs like the American Express Leadership Academy , which fosters professional growth and development among its over 60,000 employees . Recently, American Express announced a strategic investment in AI technologies , aimed at enhancing its data analytics capabilities . This initiative reflects the company's focus on innovation and adapting to the evolving financial landscape, further solidifying its position in the industry. Joining American Express as a fresher in Technology offers a unique chance to learn from industry leaders and gain exposure to cutting-edge financial technologies. The company's commitment to employee development and innovation makes it an ideal launchpad for aspiring professionals in the tech 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 Data Science Analyst at American Express? Eligibility Tap to expand + Answer Candidates with Bachelor’s / Master’s in Data Science, Statistics, Mathematics, Economics, Engineering or Related Field and Fresher experience are eligible. Eligible batches: 2024, 2025, 2026. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Data Analytics, Python, SQL, Statistics, Machine Learning. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹6–12 LPA (varies by experience). 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 Analytics, Python, SQL, Statistics, Machine Learning. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Data Science Analyst interview? Preparation Tap to expand + Answer (1) Core concepts of Data Analytics, Python, SQL, Statistics, Machine Learning, (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. Beware of fraudulent offers. 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