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149 American Express Jobs

Analyst - Data Analytics (Python)

3-7 years

Gurgaon / Gurugram

1 vacancy

Analyst - Data Analytics (Python)

American Express

posted 30min ago

Job Role Insights

Flexible timing

Job Description

Join Team Amex and let's lead the way together.

How will you make an impact in this role?

This position will support the development and implementation of analytical solutions, to provide consultative support to the GCS leadership team. The incumbent will also highlight trends, risks, and opportunities to enhance business decision-making processes, while working very closely with Sales, Marketing, Capabilities, Technology, and Analytics teams to drive growth in the sales organization and contribute in One force setup & reporting.

Description

  • This role will support the fast-accelerating GCS business.

 • The role will require to establish governance and controls for sales practices in collaboration with operation excellence and compliance teams.

  • Effectively engage with stakeholders to understand the business requirements.
  • Partnership with Stakeholders and Business Partners to provide valuable insights to support leadership.
  • Support sales organization growth by effectively managing sales portfolio.
  • Drive Analytics and Insights through various data tools.
  • Identify & implement various automation techniques to improve efficiency.
  • Drive initiatives through project management.
  • Driving resolution for escalations (if any).
  • Stay focused on relationships, understanding business strategy and objectives.

Minimum Qualifications

  • Graduate/Engineering/Masters from a reputed university.
  • 5 Years of experience Preferred Qualifications
  • Good knowledge of big data • Salesforce
  • Looking for statistical and operational experience.
  • Behavioral Skills/Capabilities
  • Good communications and presentation skills

Key Responsibilities:

  • Create and maintain next gen MIS that empowers Regional/Market GMs and executive SLT to make informed strategic decisions.
  • Provide data support and analytical solutions to stakeholders and leadership using advanced analytics e.g. NLP, Clustering, segmentation, predictive modeling, and customer targeting techniques.
  • Strengthen foundation by exploring bigdata platforms (CS, Lumi etc.) for new tables/missing metrics.
  • Partner and collaborate with multiple teams and create insights/MIS that will help stakeholders to understand overall performance.
  • Craft a compelling PowerPoint narrative that effectively communicates your analysis to stakeholders, ensuring that it is easily comprehensible.
  • Translation of complex analytical output into easily digested insights with clear recommendations
  • Identifying opportunities for new automated & custom analytics solutions around all areas of the customer journey and servicing touchpoints.
  • Develop advanced understanding of data sources and potential usage scenarios.
  • • Identify new technologies and capabilities that can advance and future proof analytical solutions.
  • • specific initiatives
  • • Analytical Thinking: Comfortable working with large quantities of data and have excellent analytical and problem-solving skills set

Minimum Qualifications

  • 3+ years with relevant experience in Analytical/Modeling Skills with 2+ years in data modeling and MIS
  • Graduation/post graduation in Management, Economics/Statistics or related fields from top-tier institutes
  • Experience in big data query and analytical tool such as hive, Yellow bricks, MLS
  • Experience in visualization tools such as Tableau or Power Bi is preferred.
  • Strong analytical & problem-solving skills
  • Prior experience of working on SQL & Python
  • Excellent Communication and relationship-building skills
  • Demonstrated ability to work effectively
  • Integrate with cross-functional business partners worldwide
  • Experience working on Cornerstone, Lumi
  • Ability to drive results with strong thought-leadership
  • Extensive Exposure of MS tools advance MS Excel, PowerPoint, MS Access, Power Platform including Power BI & Power Automate

Compliance Language

We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. Benefits include:

  • 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

American Express is an equal opportunity employer and makes employment decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other status protected by law.  

Offer of employment with American Express is conditioned upon the successful completion of a background verification check, subject to applicable laws and regulations.



Employment Type: Full Time, Permanent

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What people at American Express are saying

Data Analytics Analyst salary at American Express

reported by 7 employees
₹8 L/yr - ₹22 L/yr
68% more than the average Data Analytics Analyst Salary in India
View more details

What American Express employees are saying about work life

based on 3k employees
66%
68%
74%
88%
Flexible timing
Monday to Friday
No travel
Day Shift
View more insights

American Express Benefits

Free Transport
Cafeteria
Health Insurance
Work From Home
Job Training
Soft Skill Training +6 more
View more benefits

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American Express Gurgaon / Gurugram Office Location

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Gurgaon Office
Headquarter
American Express Banking Corp., Cyber City, Tower-C, DLF Bldg. No.8, Sector-25, DLF City Phase-II Gurgaon
Haryana 122002

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