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American Express Entry Level Jobs 2024 | Join as an Analyst-Data Analytics in Gurgaon | Placement Officer
Introduction
Are you a
data enthusiast looking to start your career in analytics? American Express is
offering exciting Entry Level Jobs for Analyst-Data Analytics in Gurgaon
for 2024. This role provides a fantastic opportunity to leverage your skills in
data analysis, problem-solving, and programming to drive strategic business
decisions. If you have a passion for data, enjoy solving complex problems, and
want to grow in a dynamic work environment, this position could be the perfect
fit for you.
About American Express
American
Express is a global leader in providing financial services and is known for its
customer-centric approach, innovation, and commitment to excellence. With a
strong focus on analytics and technology, American Express empowers its teams
to drive business solutions that make a positive impact. Join a team that
values creativity, collaboration, and continuous learning, and be part of a
company that helps people achieve their goals every day.
Role Overview: Analyst-Data Analytics
As an Analyst-Data
Analytics at American Express, you will work on developing actionable
insights and analytical solutions to enhance marketing strategies and service
actions. This role involves the analysis of complex data sets, the development
of next-generation tech solutions, and the creation of innovative products that
drive productivity and profitability.
Key Responsibilities
1. Data
Analysis & Insight Development:
·
Strategic Insights: Develop and execute analytical solutions to
drive profitable marketing and servicing actions.
·
Problem Solving: Utilize data to solve complex business
problems by creating and owning next-generation tech solutions, algorithms, and
platforms.
·
Innovative Marketing Solutions: Analyze data to derive business insights and
develop innovative marketing strategies.
2.
Product Development & Enhancement:
·
Big Data & Advanced Analytics: Innovate and enhance existing solutions
using big data analytics to improve efficiency and scalability.
·
Product Building: Develop products that scale critical
initiatives and enhance productivity across the organization.
3.
Collaboration & Communication:
·
Team Collaboration: Work effectively in a team environment,
collaborating with partners located globally.
·
Effective Communication: Convey complex ideas clearly through written
and verbal communication, ensuring effective collaboration with
cross-functional teams.
Skills & Qualifications Required
Educational
Background:
·
Degree: Bachelor's or Master's in Statistics,
Mathematics, Economics, Engineering, or a related field.
·
Experience: Relevant experience or internship in data
analysis, programming, or analytics projects.
Essential
Skills:
·
Analytical & Problem-Solving: Strong analytical skills with the ability to
interpret data and provide actionable insights.
·
Programming Proficiency: Knowledge of programming languages such as SAS,
SQL, Java, Hive, Pig, Python, and VBA.
·
MS Office: Proficiency in MS PowerPoint, Excel
for data presentation and reporting.
Preferred
Skills:
·
Self-Starter: Ability to drive insights independently,
handle unstructured initiatives, and thrive in a fast-paced environment.
·
Creative Thinking: Innovative mindset with the ability to learn
quickly and adapt to new challenges.
·
Interpersonal Skills: Strong communication and teamwork skills for
effective collaboration.
Work
Location:
·
Gurgaon, India
·
Work Arrangement: Full-time, office-based position.
Why Join American Express as an Analyst-Data Analytics?
1.
Opportunity for Growth & Development:
·
Skill Enhancement: Gain hands-on experience in data analysis,
big data, and programming, enhancing your technical and analytical skills.
·
Career Advancement: American Express offers a structured career
progression path, providing ample opportunities for professional growth and
development.
2.
Innovative & Collaborative Work Environment:
·
Dynamic Team Culture: Be part of a team that values creativity,
collaboration, and continuous improvement.
·
Exposure to Global Projects: Work on projects that have a global impact,
collaborating with diverse teams and stakeholders.
3. Make
an Impact with Data:
·
Drive Strategic Decisions: Utilize your skills to create data-driven
insights that influence key business decisions.
·
Innovate Solutions: Work on developing next-generation tech
solutions that bring efficiency and scalability to critical business functions.
How to Apply for the Analyst-Data Analytics Position
If you’re
ready to embark on an exciting career with American Express as an Analyst-Data
Analytics, follow these steps to apply:
1. Prepare
Your Resume:
Highlight your relevant skills, educational background, and any experience or
projects related to data analytics.
2. Submit
Your Application: Visit
the American Express Careers page or follow the job listing link to
apply online.
3. Selection
Process:
Shortlisted candidates will be contacted for assessments and interviews.
Perks of Joining American Express as an Analyst:
·
Professional Growth: Access to training programs and skill
development opportunities to advance your career.
·
Collaborative Work Environment: Work in a culture that encourages
collaboration, creativity, and problem-solving.
·
Global Exposure: Gain experience working with international
teams and projects.
Conclusion
Start
your journey with American Express as an Analyst-Data Analytics
in Gurgaon. This entry-level role provides fresh graduates and early-career
professionals with an excellent opportunity to engage in data analysis, develop
innovative solutions, and contribute to strategic business decisions. If you
have a passion for data, strong programming skills, and a desire to work in a
fast-paced environment, this could be the ideal role for you.
Ready to
Apply? Submit Your Application Today and Take the First Step Towards a
Successful Career with American Express!
How to Apply:
Apply Link: Click Here To Apply for American Express
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Disclaimer
The recruitment details shared above are for
informational purposes only and have been obtained from the organization’s
official website. We do not guarantee any job placements. Recruitment will be
conducted according to the company's official process. We do not charge any
fees for sharing this job information.
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