📋 Job Details at a Glance 📍 Location Gurugram, Haryana, India 🏢 Company American Express 👥 Experience 3+ years 🎓 Qualification Bachelor’s Degree / Equivalent 📅 Eligible Batch 2023, 2024, 2025, 2026 📄 Job Type Full Time 💰 Salary ₹10–16 LPA* 🏢 Industry Technology 🛠 Key Skills SQL Excel Python Power BI Tableau ChatGPT Azure OpenAI Copilot Claude LLMs 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 cutting-edge tools like Power BI and Python to drive data-driven decisions. This role is pivotal as the demand for data analytics professionals continues to surge, making it a key opportunity for those looking to excel in the technology sector. The role of an Analyst – Data Analytics is increasingly crucial in the technology landscape, as organizations rely heavily on data insights to inform strategic decisions. With companies like American Express leading the charge, this position offers a unique chance to contribute to innovative solutions that enhance customer experiences and optimize financial products. American Express is an employer with a rich history and robust platform for career growth. Founded in 1850, the company boasts over 60,000 employees globally and is a leader in financial services, providing a supportive culture that fosters professional development and innovation. This role is ideal for 2023, 2024, 2025, 2026 graduates with a Bachelor’s Degree / Equivalent and 3+ years experience in data analytics. The position offers a competitive salary ranging from ₹10–16 LPA* , making it an attractive opportunity for both freshers and seasoned professionals. In this role, you'll gain hands-on experience with essential skills such as SQL , Excel , Python , Tableau , and advanced technologies like Azure OpenAI and LLMs . This exposure not only sets you apart from peers in traditional analytics roles but also opens doors to rapid career advancement in the ever-evolving field of data analytics. 📊 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 business strategies and operational efficiency. Analyze complex datasets using SQL to extract actionable insights that inform business strategies and drive decision-making. Utilize Power BI to create interactive dashboards that visualize key performance metrics for stakeholders, enhancing data accessibility. Collaborate with cross-functional teams, including marketing and product development, to align data insights with business objectives and improve outcomes. Monitor and report on data quality metrics to ensure accuracy and reliability in analytics outputs, utilizing Excel for detailed analysis. Take ownership of data-driven projects, driving initiatives that enhance operational efficiency and customer satisfaction through effective use of Python . Document analytical processes and findings to facilitate knowledge sharing and continuous improvement, ensuring clarity in Tableau reports. Engage with clients to understand their data needs and provide tailored analytical solutions, leveraging tools like ChatGPT for enhanced reporting. This role fosters an ownership culture, empowering analysts to make a direct impact on business performance through data-driven initiatives. Required Skills & Technical Competencies The skill profile for this role emphasizes proficiency in data analytics tools and technologies essential for effective data manipulation and visualization. Technical Skills SQL — intermediate — essential for querying databases and extracting data insights to inform business strategies. Excel — intermediate — used for data manipulation and analysis, critical for creating reports and performing calculations. Python — intermediate — applied for data analysis and automation tasks, essential for building predictive models. Power BI — intermediate — key tool for data visualization, enabling the creation of compelling reports and dashboards. Tableau — intermediate — utilized for developing interactive visualizations that communicate key performance metrics effectively. ChatGPT — entry — important for leveraging AI in data analytics and enhancing reporting capabilities. Azure OpenAI — entry — utilized for integrating advanced AI functionalities into data analytics processes. When showcasing these technical skills in your resume or interview, emphasize specific projects or tasks where you effectively utilized these tools. Eligibility Criteria This role is designed for candidates with a strong analytical background and relevant experience in data analytics. A Bachelor's Degree in fields like Computer Science, Statistics, or Mathematics is preferred. Eligible batches include 2023, 2024, 2025, and 2026 , allowing fresh graduates to apply. Candidates should have at least 3 years of relevant experience, which can include internships or academic projects. A minimum academic performance of 60% is expected to ensure a strong foundational knowledge in analytical skills. 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 skills and experiences. Include links to your portfolio or GitHub showcasing your analytical projects. Pro tip: Tailor your application to highlight specific projects where you utilized SQL and Power BI to solve real-world problems. Salary for Analyst – Data Analytics at American Express 💰 Compensation ₹10–16 LPA* The advertised compensation for the 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 Analyst – Data Analytics Upskilling with the right resources significantly enhances your chances of selection for the Analyst role at American Express . Recommended Courses & Resources SQL — Essential for managing and querying databases effectively. Excel — Crucial for data analysis and visualization tasks. Python — Key for data manipulation and automation in analytics. Power BI — Important for creating interactive data visualizations. KodNest — Useful for hands-on coding practice and projects. Boost your profile with relevant certifications at NexisGrow GetCertified — strengthen your application before you apply. Common Mistakes to Avoid ❌ Failing to tailor your resume — Customize it for the specific skills listed in the job description. ❌ Neglecting to showcase relevant projects — Highlight internships or projects that demonstrate your analytical capabilities. ❌ Using generic language — Be specific about metrics or outcomes achieved in previous roles. ❌ Overlooking formatting and clarity — Ensure your resume is easy to read and well-organized. ❌ Not preparing for technical questions — Practice SQL or Python-related questions for interviews. ❌ Ignoring application instructions — Follow all guidelines to avoid missing opportunities. Before You Apply — Checklist ✅ Research American Express to understand its values and culture before applying. ✅ Tailor your resume to highlight relevant skills and experiences specific to the Analyst role. ✅ Prepare a cover letter that articulates your interest in data analytics and the company. ✅ Ensure your LinkedIn profile is updated and reflects your resume accurately. ✅ Gather any necessary documents, such as transcripts or certificates, to support your application. ✅ Double-check the application URL to ensure you are applying through the correct portal. ✅ Follow up on your application status after submission to express continued interest. ✅ Prepare for potential interviews by practicing common data analytics questions. 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 Power BI Python Excel Tableau ChatGPT Azure OpenAI LLMs Prompt Engineering RAG Analytical Skills Resume Tips for This Role Highlight your proficiency in SQL and Python , as these are critical for the role's technical requirements. Emphasize any projects or internships that involved data analysis or visualization to demonstrate relevant experience. Include links to your portfolio or GitHub to showcase your practical skills and projects related to data analytics. Optimize your resume for ATS by using keywords from the job description, ensuring it aligns with the role's requirements. Avoid including unrelated work experience that does not demonstrate your analytical skills or technical abilities. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Pro tip: Avoid including generic statements that do not add value to your resume for this 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 in PDF format, ensuring it is tailored to the job description. Fill out the application form accurately, providing all requested information. After submission, you can expect an email confirmation regarding your application status. Use the application portal to track your application progress and 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 a global presence in over 130 countries , the company employs over 60,000 people worldwide, providing a robust platform for international careers. Its extensive network allows employees to engage with diverse markets and cultures, enhancing their professional growth. 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 Membership Rewards program exemplify the company's focus on premium customer service. These services are designed to meet the evolving needs of consumers and businesses alike. American Express has received numerous accolades, including a Glassdoor rating of 4.2 , reflecting its dedication to employee satisfaction. The company promotes a culture of inclusivity and innovation, offering programs that support professional development and well-being. Initiatives like the American Express Leadership Academy empower employees to advance their careers. Recently, American Express has made significant investments in AI and machine learning technologies, enhancing its service offerings. The launch of the Amex Business Blueprint platform showcases the company's commitment to leveraging technology for operational efficiency. These advancements position American Express as a leader in the financial services industry. Starting a career at American Express in data analytics offers freshers unparalleled exposure to cutting-edge technologies such as Python and Power BI . The company's focus on innovation and employee development creates a strong foundation for a successful career in technology. With access to industry-leading methodologies, new hires can quickly advance their skills and expertise. 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 Degree / Equivalent and 3+ 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, Excel, Python, Power BI, Tableau. 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: SQL, Excel, Python, Power BI, Tableau. ? 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, Excel, Python, Power BI, Tableau, (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? 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