Business Analyst-Data Analytics

1 - 4 years

8.0 - 12.0 Lacs P.A.

Gurgaon

Posted:2 months ago| Platform: Naukri logo

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Skills Required

Computer scienceProduct managementCareer developmentStatistical analysisFinanceMISMachine learningWellnessData miningAnalytics

Work Mode

Work from Office

Job Type

Full Time

Job Description

You Lead the Way. We ve Got Your Back. 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 lets lead the way together. How will you make an impact in this role ? Build opportunity landscape to support negotiations for new benefit partnerships Inform partner strategy to secure higher partner sourced value and drive product value prop with bespoke analytics Use advance analytics to study customer behavior, competitive landscape to articulate a robust partner value story for strengthening relationship and supporting renegotiations with existing benefit partners Help set up robust MIS and tracking of benefit performance from Amex and external partner lens Proactive identification of emerging merchants and industries to curate BD pipeline in line with loyalty and benefit strategy Communicate analytics-based insights to Product Management & Lending leadership team and cross-functional partners such as Business development and Product to shape product and partner strategy Critical Factors to Success: Strong analytical skills and an innovative approach to solving practical problems Sound knowledge of Machine learning algorithms / statistics / data mining and research methods. Strong verbal, written, and interpersonal communication skills. Minimum Qualifications Bachelor s degree required and Master s degree preferred in following areas: Statistics, Economics, Mathematics, Engineering, Finance, Computer Science, or related quantitative fields. Strong programming skills, hands-on expertise using statistical analysis and data manipulation software/tools (e. g. SAS, SQL, and Big Data analytic techniques). Ability to understand data, synthesize into real world meaning and break down business problems. 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

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