American Express hires exciting Analyst (Data Engineer) job in Gurugram 2025.

American Express is hiring for a Data Analyst (Data Engineer) job in Gurugram 2025. Both Freshers and Experienced candidates must apply for this position and Grab this opportunity.

Hello Data Folks, This is the great opportunity for all the individuals who have interest in Data Science domain, must start a job at American Express for the position of Data Analyst (Data Engineer) in Gurugram. If you are someone who is interested in this Job role must read there all responsibilities and requirements. And If you are someone who is looking for Business Analyst job in Bangalore or some other opportunities in Data Sector, must Subscribe to our Web Notification or follow us on other social media handles.

About Company

American Express, often referred to as Amex, is a globally recognized financial services corporation. Founded in 1850, it initially began as an express mail business. Over the years, it has evolved into a leading provider of credit cards, charge cards, and travel services. Amex is renowned for its premium services, offering a range of card products tailored to various customer needs, from everyday spending to luxury experiences. The company is headquartered in New York City and is known for its customer-centric approach, providing robust rewards programs, extensive travel benefits, and exceptional customer service. Amex has built a strong brand reputation for reliability, security, and innovation in the financial sector.

About Job Role

We are seeking a Data Engineer to help drive the design and development of a robust data infrastructure, through building databases and pipelines that will support our planning processes, Machine Learning use-cases and leadership reporting. 
As a Data Engineer, you will be part of a team responsible for the development and execution of world-class advanced analytics projects, leveraging automation and machine learning to enhance and streamline business processes.

You will build scalable solutions that benefit our internal customers – from technical design, prototyping, testing, deploying and monitoring production data. The ideal candidate will have the skills to collaborate in a cross-functional environment – planning, operations, finance, forecasting, data science – to test new ideas and challenge conventions.

Responsibilities

• Support GCCM colleagues migrating production-grade data and pipelines to the Google Cloud Platform.
• Help define and apply data governance requirements for accurate and consistent storing of data records.
• Build and adapt querying scripts and data pipelines to prepare the operational data layers used for Analytics.
• Implement quality monitoring and control throughout the systems you develop.
• Deploy autonomous reliable solutions and logging systems so that services remain online 24/7 without human intervention.
• Build well-engineered and documented code in collaboration with other developers.
• Co-design and build scalable ETL pipelines in a complex data environment.
• Ability to manage time, prioritize tasks, negotiate requirements in an Agile Framework.
• Help define best practices for a data ecosystem that will support Machine learning and future AI research.
• Collaborate with data scientists and business analysts by facilitating their data format and condition requirements.

Requirements

• Previous experience in a Data Engineer or Data Architect based role.
• Knowledge of common data structures for storage and online analytical processing.
• Proficiency in Google Cloud Platform services or equivalent relevant Cloud infrastructure services.
• Proficiency in a querying language: any in the SQL suite or similar.
• A deep grasp of computer science fundamentals and applied principles.
• Experience in version control (GIT) for coordinating work and code releases.
• Ability to communicate with both technical and non-technical audiences.
• Ability to justify design choices and assumptions.

Preferred Qualifications

• Expertise in tools like Tableau, Power BI or similar platforms to create clear impactful visual reports.
• Familiarity with Python and object-oriented programming.
• Experience developing machine learning workflows and supporting Data Science projects
• Previous exposure to delivering using Agile development practices.

Benefits

• Competitive base salaries. 
• Bonus incentives.
• Support for financial-well-being and retirement. 
• Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location). 
• Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need.
• Generous paid parental leave policies (depending on your location).
• Free access to global on-site wellness centers staffed with nurses and doctors (depending on location).
• Free and confidential counseling support through our Healthy Minds program.
• Career development and training opportunities.

Why Join American Express?

• The global organization American Express offers unparalleled chance for both freshers and experienced professionals in the data domain.
• We are looking for a talented Data Analyst to join an inclusive and innovative team creating and shaping meaningful career journeys for our team and the world.
• The company is known as one which helps in growing businesses through its powerful learning programs, working environment and using advanced technologies.
• Data Analysts at American Express are encouraged to make meaningful contributions to projects like redesigning business processes utilizing state of the art analytics and machine learning.
• You can use tools like Google Cloud Platform, SQL, and data visualization tools like Tableau, Power BI to drive data driven decisions.
• In addition, The organization also provide Data Analyst Internships for Data enthusiasts with helping hands on experience of working with organization leading practices and real world problems.
• Secondly, the well being of its employees is also something that American Express holds dear by providing competitive salaries, complete health benefits and flexible working models.
• If you’re on the lookout for Jobs for a Data Analyst in India, the company offers a great compensation package with wonderful career development.
• If you are joining American Express, you will be a part of a team that takes positive action for innovation, collaboration and integrity.
• You’ll sharpen your technical chops, but you’ll also help us to deliver exceptional customer experiences.
• If you aspire growing as a Data Analyst in a global space, American Express is where you should be at!

Career Growth and Opportunities

• Being Global, American Express does take very seriously professional growth and hence has a very rich ‘career path’ to choose from, say in Data Analysis, Data Engineering, and so on.
• The company commits to mentoring their employees by providing opportunity to work on state of the art tools, technologies and methodologies to become successful as Data Analytics or Data Engineering roles.
• By joining American Express you become part of cross functional teams involved in operations, finance, forecasting, and data science.
• If you’re looking to jump into a Data Analyst job or Data Analyst internship, you’ll pick up some valuable experience and mentorship on technical and business skills.
• Continuity and learning is what the company promotes, providing comprehensive training programs to prepare employees to drive into leadership roles where they can learn about either leadership or within areas like machine learning, cloud platforms and data visualization tools like Tableau and Power BI.
• They also seek research on competitive benefits such as financial wellness support, paid parental leave and career development resources to provide an atmosphere in which employees can personal and professionally develop.
• In addition, American Express guarantees competitive compensation, and Data Analyst salaries in India fit into the industry norm.
• With their dynamic workplace, freedom to innovate and a team collaboratively working together, it’s a perfect place for someone who wants to grow in the data domain.
• American Express offers the platform for long term success whether you’re starting your journey or furthering your career.

Industry Impact of the Role

• So far, as a Data Engineer with American Express, the impact on the wider data analytics landscape is very obvious.
• All the enhancements of cutting-edge data infrastructure would allow more streamlined planning processes, machine learning endlings, and insight-driven leadership reporting.
• In other words, work with a network of teams, including data analysts, data scientists, and business leaders in order to contribute to the optimization of decision-making and the improvement of operational efficiencies.
• It is a milestone into an ever-widening crevice where data analyst jobs and internships are emerging all over.
• However, these people carry exceptional professional qualifications that are dedicated to laboriously handling own complex data environments.
• In this endeavor to the beginning stages of driving through America’s newest tools in Google Cloud Platform, SQL, and Python, fresh assessments of the data enterprise will take hold.
• The offer is aligned with the company’s fair employee treatment concerning compensation, opportunities of ascending the career ladder, and even better work models.
• It is an outstanding company through which aspiring data professionals can thrive within their given missions and objectives.
• This position is an opportunity to pave the way in reshaping industry models as somebody tries to perfect his/her craft while considering or scrutinizing data analyst internship or looking at roles in the field.

Learning and Development Opportunities

• American Express provides excellent learning and development opportunities, resulting in a culture where their world class senior Data Analysts can learn and develop in order to excel.
• What the company does is to emphasize on continuous learning — structured career development programs, technical trainings, and hands on project exposure.
• Be it as a newly minted Data Analyst intern or as a person moving up to a full-time position, you will have the resources that help you polish your analytical edge, strengthen your knowledge in data engineering and machine learning, and get ready with the requirements of an industry that is constantly changing.
• Mentorship programs and ability to collaborate with cross functional teams (Finance, Operations & Data science) on one hand and people in roles like Data Analyst jobs benefit from such.
• As an American Express employee you benefit from the competitive advantages and a work environment which supports it.
• With career training created to support growth aligned to personal aspirations, it is one of the top choices to consider as you aim to advance in analytics or data driven roles.
• American Express is a good career choice for aspirants seeking an opportunity to work as a Data Analyst intern or if you want to know about the Data Analyst salary in India, career in this organization is for those who promote the learning, development, and impact.

Application Tips and Common Mistakes

• Before applying to the job post, make sure that your resume serves its purpose by showcasing relevant skills including PowerBI, Tableau and SQL is crucial.
• Make sure that you should customize your resume before applying particular job role and also add the relevant skills mentioned in Job description without any failure.
• Finally, always remember that your resume fulfills the expectations of the job description and also showcase your project work very well in your resume.

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🔴 Note : ⤵️

• Read all criteria and information carefully and make changes in resume according to that by adding relevant keywords so that their are more changes to get an interview call, otherwise you will lose an opportunity.
• So make sure that read all the info and then proceed to apply.
• This all the job description we are taken from company’s official Page, so do check it.
• Check salary(given salaries are according to Glassdoor & Ambition-box), qualification and other details on the company’s official website as well.
• Before applying check once the company’s profile and what company actually do and which role they are hiring.

✅Best of luck👍 and have a Great future ahead.✨

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👨‍💼About the Author ⤵️

Rishikesh Deshmukh

I am working with a dedicated team of experts committed to helping job seekers find a right job opportunities in Data Domain Sectors. We aim to match job seekers with latest job openings in Data Domain.