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175 Resy Jobs

Senior Analyst - Data Science

Resy

2-5 years

Gurgaon / Gurugram

1 vacancy

Resy

posted 2mon ago

Job Role Insights

Key skills for the job

Finance Data Analytics Financial Analysis SQL Analytical Chemistry Business Strategy

+ 3 more

Job Description

The Finance Data Science & Analytics (FDS&A) team leverages data and new technology to innovate around the way we forecast key measures to add stability and predictability to the AXP P&L. FDS&A team s goal is to help the organization make fact-based and scientifically developed decisions around risk and opportunities. You will perform a key role in providing financial analysis and decision support for AXP Issuing and Global Merchant Spend business.

We are looking for a high-performing, energetic colleague with a positive attitude and ability to think critically, organize flawlessly and facilitate activities in a fast-paced, dynamic, and fun environment. The ideal candidate will be flexible, able to exercise discretion and independent judgement while also having the confidence and professionalism to interact with colleagues across levels to get the job done.

Responsibilities include:

Leverage quantitative skills to provide decision support to business teams on key initiatives

Assist in developing/enhancing Spend metric predictive modeling that incorporates card member behaviors and increased level of data granularity

Planning activities responsibilities including Risks & Opportunities (R&O), Long-Range Plan (LRP) and Annual Plan as it relates to AXP Billed Business and GMS Discount Billed Volume

Use machine learning techniques to improve forecasts and produce business insights; leverage visualization and reporting tools

Understand and adopt emerging technology that can affect the application of the quantitative analytical approaches and technique to solve business problems

Provide thought leadership into key findings and actionable recommendations to influence business strategy

Deepen trust-based relationships with a variety of stakeholders and levels across the Enterprise, including, but not limited to EFP&A, BU FP&A, LFO teams and business partners

Leverage quantitative skills to provide decision support to business teams on Enterprise-wide forecasting for Billed Business, including, but not limited to, model ownership and results analyses

Propose and implement solutions to ad-hoc business problems independently, leveraging data and insights to play the role of strategic advisors

Minimum Qualifications:

Bachelor s / Master s degree in a quantitative field
Proficiency in SQL, Hive, Python, Pyspark, Machine Learning Techniques

Highly motivated individual with desire to work on ambiguous projects; with the ability to break down and execute on complex ideas
Strong analytical, organizational, and problem-solving skills with good attention to detail
Ability to solve ad hoc business problems independently and manage multiple priorities and projects while adhering to deadlines
Strong desire and ability to learn

Preferred Qualifications:

Solid understanding of card economics
Python/R skills strongly preferred
Power BI or other visualization tools experience strongly preferred
Statistical/Predictive modeling knowledge and experience strongly preferred

Skills:

-Highly motivated individual with desire to work on ambiguous projects, with the ability to break down and execute on complex ideas.

-Be data-driven, outcome-focused and fast learner.

-Strong analytical, organizational, and problem-solving skills with good attention to detail

-Ability to influence people across all levels of the organization.

-Ability to explain complex mathematical concepts.

-Ability to solve ad-hoc business problems independently and manage multiple priorities and projects while adhering to deadlines.

Shift Timing: 1pm - 9:30pm IST

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