American Express

Analyst-Data Analytics

Posted On

July 25, 2024

Location

Gurgaon, Haryana

Experience Level

Freshers/Experienced

Job Type

Permanent

Apply By

Sept. 22, 2024

Job Description

You Lead the Way. We’ve Got Your Back.

With the right backing, people and businesses have the power to progress in incredible ways. When you join Team Amex, you become part of a global and diverse community of colleagues with an unwavering commitment to back our customers, communities and each other. Here, you’ll learn and grow as we help you create a career journey that’s unique and meaningful to you with benefits, programs, and flexibility that support you personally and professionally.

At American Express, you’ll be recognized for your contributions, leadership, and impact—every colleague has the opportunity to share in the company’s success. Together, we’ll win as a team, striving to uphold our company values and powerful backing promise to provide the world’s best customer experience every day. And we’ll do it with the utmost integrity, and in an environment where everyone is seen, heard and feels like they belong.

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

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.

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