American Express is recruiting for a fresher entry level Data Analyst job

Position:

• Title: Analyst-Data Analytics

Company:

• Name: American Express

Location:

• City: Gurugram
• State: Haryana
• Country: India

Job type:

• Type: Hybrid

Job mode:

• Mode: Full-time

Job requisition id:

• ID: 24013500

Years of experience:

• Experience: 0-3 years
  

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Company Description

• Global and diverse community of colleagues
  • Commitment to backing customers, communities, and each other.
  • Environment fostering learning and growth.
• Recognition and impact
  • Employees recognized for contributions, leadership, and impact.
  • Opportunity to share in company success.
• Team collaboration and company values
  • Striving for the best customer experience every day.
  • Maintaining utmost integrity and inclusivity.
• Company values
  • Upholding powerful backing promise.
  • Ensuring everyone feels seen, heard, and valued.
• Opportunities and benefits
  • Comprehensive benefits, programs, and flexibility.
  • Support for personal and professional growth.

Profile Overview

• Role location and reporting
  • Based in Gurgaon.
  • Reporting to the Manager of Digital Experimentation & Insights.
• Responsibilities
  • Delivering strategic analytics for performance marketing and digital experiences.
  • Defining and building key performance indicators (KPIs).
  • Supporting new product and capability development.
  • Providing insights from campaign analyses.
  • Gaining deep functional understanding of product capabilities.
  • Offering analytical and decision support through data mining.
• Focus areas
  • Performance Marketing channels.
  • Digital Acquisition and membership experiences.
  • Platforms and Labs.
• Team and collaboration
  • Collaborative team focused on growth.
  • Using data to drive improvements in customer experience.

Qualifications

• Educational background
  • Advanced degree in a quantitative field (e.g., Finance, Engineering, Mathematics, Computer Science).
• Technical skills
  • Strong programming skills preferred.
  • Experience with Big Data programming languages (Hive, Spark), Python, SQL.
  • Understanding of data science a plus.
• Experience and abilities
  • Experience in large data processing and handling.
  • Ability to work in a dynamic, cross-functional environment.
  • Strong attention to detail.
• Communication and influence
  • Excellent communication skills.
  • Ability to engage and influence partners.
• Analytical skills
  • Strong analytical/conceptual thinking competence.
  • Basic knowledge of statistical techniques for experimentation and hypothesis testing (regression, t-test, chi-square test).

Additional Info

• Holistic well-being support
  • Competitive base salaries and bonus incentives.
  • Financial well-being and retirement support.
  • Comprehensive medical, dental, vision, life insurance, and disability benefits.
• Flexible working model
  • Hybrid, onsite, or virtual arrangements depending on role and business need.
• Parental leave and wellness
  • Generous paid parental leave policies.
  • Free access to global on-site wellness centers (depending on location).
  • Free and confidential counseling support through the Healthy Minds program.
• Career development
  • Career development and training opportunities.
• Equal opportunity employer
  • Employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or other protected status.
• Employment conditions
  • Offer of employment conditioned upon successful completion of a background verification check.

Please click here to apply.

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