📋 Job Details at a Glance 📍 Location Gurugram, Haryana, India 🏢 Company American Express 👥 Experience 2+ years 🎓 Qualification Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, Engineering, or another quantitative field 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹24–₹32 LPA 🏢 Industry Technology 🛠 Key Skills SQL Python Machine Learning Data Science Generative AI RAG Large-Scale Data Processing Statistical Modelling Analytical Problem-Solving Data Storytelling Senior Analyst – Data Science at American Express — Full Details & How to Apply American Express is seeking a Senior Analyst – Data Science in Gurugram, Haryana, India , where you can leverage your skills in SQL and Python to drive impactful data solutions. This role offers a unique opportunity to influence data-driven strategies that affect millions of users worldwide. The demand for Senior Analyst – Data Science jobs is surging as companies increasingly rely on data analytics to enhance customer insights and decision-making. With American Express expanding its analytics team, this position plays a crucial role in shaping the future of technology within the financial services sector. American Express is an employer with a rich history, founded in 1850 , and its commitment to innovation in financial services. With over 60,000 employees globally, American Express fosters a culture that values analytical problem-solving and stakeholder communication, making it an ideal environment for aspiring data scientists. This role is perfect for 2023, 2024, 2025, 2026 graduates with a Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, Engineering, or another quantitative field and 2+ years experience . The competitive salary range of ₹24–₹32 LPA reflects the value placed on skilled professionals in this field. In this position, you will work with cutting-edge technologies such as Machine Learning , Generative AI , and Large-Scale Data Processing . This experience not only enhances your technical skills but also opens doors to leadership roles within 3-5 years , setting you apart from peers in the industry. 📊 Role Difficulty: Medium | Competition Level: High | 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 Senior Analyst – Data Science at American Express is pivotal in transforming large datasets into actionable insights that directly influence business strategies and customer experiences. Analyze large datasets using SQL to extract actionable insights that drive business strategies and improve decision-making. Develop predictive models utilizing Python and Machine Learning techniques to forecast customer behavior and enhance service offerings. Collaborate with cross-functional teams, including Marketing and Product Development, to align data insights with business objectives and strategies. Monitor and report on key performance metrics to assess the effectiveness of data-driven initiatives and recommend improvements. Take ownership of data quality and integrity, ensuring accurate reporting and analysis through rigorous validation processes. Document analytical processes and communicate findings effectively to stakeholders through compelling data storytelling . Utilize analytical problem-solving skills to address client-facing challenges and provide innovative, data-driven solutions. This role fosters an ownership culture, allowing you to make a direct impact on strategic decisions and customer satisfaction through data-driven insights. Required Skills & Technical Competencies The ideal candidate for the Senior Analyst – Data Science position must possess a robust skill set in data analysis, modeling, and communication. Technical Skills SQL — advanced — essential for querying and managing large datasets to derive actionable insights. Python — advanced — used for data manipulation and model development, particularly with libraries like Pandas and NumPy. Machine Learning — advanced — applied to build predictive models that forecast trends and customer behaviors using frameworks like Scikit-learn. Generative AI — intermediate — understanding its application in creating data-driven insights and enhancing customer experiences. Analytical Problem-Solving — advanced — evaluated through case studies or practical assessments during the interview process. When showcasing these technical skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact. Eligibility Criteria This role is designed for recent graduates and professionals with a strong analytical background in quantitative fields. Bachelor’s degree in Computer Science , Statistics , Mathematics , Economics , Engineering , or related fields is essential. Eligible batches include 2023 , 2024 , 2025 , and 2026 , allowing fresh graduates to apply early in their careers. A minimum of 2 years of experience is required, but freshers with relevant internships or projects may be considered. A strong academic performance with a CGPA of 7.0 or above is preferred to demonstrate analytical capabilities. Having a portfolio or GitHub showcasing relevant projects can significantly enhance your application. Documentation & Portfolio Requirements Ensure your resume is formatted clearly, highlighting your educational background, relevant skills, and any projects or internships related to data science. Pro tip: Tailor your application to highlight specific experiences with SQL and Machine Learning that align with the responsibilities of this role. Salary for Senior Analyst – Data Science at American Express 💰 Compensation ₹24–₹32 LPA The advertised compensation for the Senior Analyst – Data Science role at American Express is ₹24–₹32 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 Senior Analyst – Data Science Upskilling with the right resources significantly enhances your chances of selection for this specific role, equipping you with the necessary skills and knowledge. Recommended Courses & Resources SQL — Essential for managing and querying large datasets effectively. Python — A key programming language for data analysis and machine learning tasks. Machine Learning — Crucial for developing predictive models and algorithms. Data Science — Provides a comprehensive understanding of data analysis techniques. KodNest — Offers practical experience in data science projects and applications. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor your resume — Highlight relevant skills and experiences for data science. ❌ Neglecting to include specific examples — Showcase your analytical work or projects clearly. ❌ Using generic language — Focus on quantifiable achievements in your resume. ❌ Overlooking teamwork skills — Emphasize collaboration and communication in your projects. ❌ Not preparing for technical assessments — Practice case studies and common interview questions. ❌ Ignoring data storytelling — Clearly communicate your findings and insights. Before You Apply — Checklist ✅ Research American Express and its data science initiatives before applying. ✅ Update your resume to reflect relevant skills and experiences. ✅ Prepare a portfolio showcasing your data projects and analyses. ✅ Gather references who can vouch for your analytical abilities. ✅ Review the job description thoroughly to understand the expectations. ✅ Practice common data science interview questions and case studies. ✅ Ensure your LinkedIn profile is updated and aligns with your resume. ✅ Submit your application through the provided link and track its status. Resume Tailoring & ATS Keywords for Senior Analyst – Data Science Optimizing your resume for ATS is crucial for standing out in the application process for this role. ATS Keywords to Include Data Science SQL Python Machine Learning Generative AI Analytical Problem-Solving Data Storytelling Statistical Modelling Large-Scale Data Processing Stakeholder Communication RAG Data Analysis Resume Tips for This Role Highlight your proficiency in SQL and Python , as these are critical for the role. Emphasize any relevant projects or internships that demonstrate your analytical skills. Include a link to your portfolio or GitHub to showcase your practical experience. Optimize your resume for ATS by using keywords from the job description. Avoid including unrelated work experience that does not pertain to data science. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including vague statements or irrelevant experiences that do not showcase your data science capabilities. How to Apply for Senior Analyst – Data Science at American Express Apply Now — American Express Visit the application portal and create an account. Upload your resume in PDF format, ensuring it is tailored to the job description. Fill out the application form accurately, highlighting your skills and experiences. After submission, you will receive a confirmation email regarding your application status. Track your application through the portal for updates on the hiring process. 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 . The company operates in over 130 countries , employing over 60,000 people globally. With a strong presence in the financial technology sector, American Express serves millions of customers, showcasing its extensive reach and influence in the industry. The core offerings of American Express include its well-known charge cards, credit cards, and travel-related services. Notable products such as the American Express Platinum Card and American Express Membership Rewards highlight the company's commitment to providing premium financial services. These products cater to a diverse clientele, enhancing customer loyalty and satisfaction. American Express has consistently received accolades for its workplace culture, boasting a Glassdoor rating of 4.2/5 . The company has been recognized with awards such as the Great Place to Work certification and has implemented various employee programs that promote professional development and well-being, fostering a supportive environment for its workforce. Recently, American Express announced a significant investment in AI technologies, aiming to enhance customer service and operational efficiency. This initiative reflects the company's forward-thinking approach, as it continues to explore innovative solutions to meet evolving market demands and improve user experiences. For freshers in Technology, American Express offers unparalleled access to mentorship and training in data science. The company's focus on developing skills in areas such as Machine Learning and Generative AI makes it an ideal launchpad for aspiring professionals, providing a solid foundation for a successful career in the tech industry. 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 Senior Analyst – Data Science at American Express? Eligibility Tap to expand + Answer Candidates with Bachelor’s degree in Computer Science, Statistics, Mathematics, Economics, Engineering, or another 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: SQL, Python, Machine Learning, Data Science, Generative AI. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹24–₹32 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: SQL, Python, Machine Learning, Data Science, Generative AI. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Senior Analyst – Data Science interview? Preparation Tap to expand + Answer (1) Core concepts of SQL, Python, Machine Learning, Data Science, Generative AI, (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! 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