American Express hires exciting Analyst job in Gurugram 2024.

American Express is hiring for a Analyst job in Gurugram 2024. 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 Analyst 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 Analyst job in Gurugram 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 known as Amex, is a globally integrated payments company that has been serving customers since 1850. Renowned for its credit card, charge card, and travel services, American Express provides a wide range of financial products and services, including corporate programs, life and travel insurance, and membership rewards. The company is committed to delivering exceptional customer experiences and maintaining high standards of integrity and excellence. With a diverse workforce of over 60,000 employees, Amex strives to back its customers, colleagues, and communities, ensuring a positive impact through its enterprise ESG strategy and community giving initiatives.

About Job Role

Development, review and/or execution of economic logic & analytical solutions to drive profitable credit business actions.

Responsibilities

• Understand the core business of AXP and the levers behind various decisions.
• Analyze large amounts of data to derive business insights and create innovative solutions.
• Leverage the power of closed loop through Amex network to make decisions more intelligent and relevant.
• Innovate with a focus on developing newer and better approaches using big data & machine learning solution.
• Clear articulation and structuring of business findings across prospect and customer domain to the leadership and key partners.
• Maintain external lens and be aware of developments in the field of Finance/Payments/Analytics etc.

Requirements

• MBA, Master’s Degree In Economics, Statistics, Computer Science Or related fields.
• 0-30 months of experience in analytics.
• Ability to drive project deliverables to achieve business results.
• Ability to work effectively in a team environment.
• Strong communication and interpersonal skills.
• Innovative problem solver with ability to learn quickly and work independently with complex, unstructured initiatives.
• Ability to Integrate with Cross-Functional Business Partners Worldwide.
• SAS, R, Python, Hive, Spark, SQL.

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?

• American Express has an extremely attractive proposition for individuals who love working with data analytics – it allows them to make a difference in the world while also enhancing their professional journey.
• Employment as a Data Analyst or Data Analyst internship position candidate, will find an organization that integrates innovative, customer-oriented and teamwork principles in all its endeavors.
• Working for American Express means working for an organization with a strong belief in the contribution of every member of the organization, a culture where people’s suggestions are acknowledged and people themselves appreciated.
• American Express’s Credit and Fraud Risk (CFR) department for example, employs data science and advanced analytical capabilities to ensure that the decisions made are strategic, empirical and aimed at enhancing the experience of the customers while managing risks and growing the business.
• While working here as a data analyst, you will be in a position to explore large amounts of data and sophisticated machine learning tools including SAS, R, Python and SQL to develop solutions that will impact millions within the globe.
• It is worth mentioning that American Express cares for the professional advancement and overall health of its employees, combines this with high salary levels, attractive bonus structure, comprehensive medical coverage and relaxing work conditions.
• Moreover, the organization supports upgrade of skills and provides upward movement along the career ladder by training, leadership and direct interaction with the best analytics practitioners.
• At American Express, you are not just joining a giant in the field of financial services; you are joining an entirely different entity that will help build your career enhancing your input as a data analyst.

Career Growth and Opportunities

• Joining American Express as an Analyst in Risk Management provides a unique path for career growth, especially if you’re pursuing a future in data analytics and data science.
• This opportunity is ideal for those with analytical skills who want to leverage big data and machine learning to solve real-world business challenges.
• American Express is well-known for fostering an environment where data analysts and data science professionals can thrive, learn, and advance.
• As part of the Credit and Fraud Risk (CFR) team, you’ll work on critical projects aimed at reducing fraud and credit loss, supporting business profitability, and enhancing the customer experience.
• The CFR team’s role in driving innovation through analytics opens doors for hands-on experience with advanced tools like SAS, Python, R, Hive, and Spark, sharpening your technical expertise.
• The exposure to top industry leaders in data science, machine learning, and analytics equips you with valuable insights and networking opportunities to shape your career.
• American Express also emphasizes continuous learning through structured training programs, career development resources, and mentorship from experienced professionals.
• The flexibility to work in hybrid or virtual models, combined with competitive salaries and comprehensive benefits, ensures you have the support needed to grow in your role and adapt to evolving challenges in risk management and analytics.
• Whether you’re starting as a data analyst or looking to grow in the field, American Express offers a nurturing platform for professional advancement, innovation, and impact in the data domain.

Industry Impact of the Role

• In the role of a Data Analyst within American Express’s Credit and Fraud Risk (CFR) team, your contribution will be of great worth as it will define the data-related practices in the financial services industry.
• American Express believes in transformation of data into actionable insights through analytics, machine learning and other sophisticated technologies to ensure that both credit and fraud risks are mitigated without interfering with the authentic transactions of the customers.
• This role helps implement the company’s dedication in focusing on providing the best possible customer care, through the application of the data analysis in improving the fraud detection systems, credit loss reduction and the growth of the companies profits.
• Being part of the CFR team means being the change in the growth period of the most challenging Application of Data Analytics with real life solutions that affects millions of people.
• Be it a data analyst internship or a full time position, you will help create useful and cutting edge analytical insights which enable American Express to achieve unrivaled credit loss rates and protect the finances of its clients globally.
• This advanced position elevates the status of American Express, but also shapes the financial sector by redefining the ratios with risk management, customer service and responsible lending respectively.

Learning and Development Opportunities

• American Express cherishes continuous improvement and offers ample room for its employees to build on their skills especially in data analysis.
• Even for those who are just starting as Data Analysts or in a Data Analyst internship, American Express has put in place resourceful training programs.
• The advanced corporate training programs are intended for all, encompassing both the technical and non-technical aspects, and includes progressing from theoretical knowledge to practical use of analytics, data science and machine learning tools such as Python, SQL and R.
• As a result, the members can interact with the analytic, credit risk, and fraud experts forming a very strong understanding of working in a business that makes decisions on data.
• Further, such employees are also motivated to seek opportunities in other functions so as to diversify their business exposure, and in the process improving their analytical and strategic thinking abilities.
• Mentoring schemes and teachings on leadership in the company also promote career progression as it enables members to take up bigger responsibilities than they had before.
• Such dedication towards growth and development, in this case professional development, truly serves an excellent purpose for most of those who are data analysis enthusiasts and wish to pursue a career path in it.

Application Tips and Common Mistakes

• Before applying to the job post, make sure that your resume serves its purpose by showcasing relevant skills including SAS, R, Python, Hive, Spark, 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.