Senior Analyst- Data Science

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

At American Express, we know that with the right backing, people and businesses have the power to progress in incredible ways. Whether we’re supporting our customers’ financial confidence to move ahead, taking commerce to new heights, or encouraging people to explore the world, our colleagues are constantly redefining what’s possible — and we’re proud to back each other every step of the way. When you join #TeamAmex, you become part of a diverse community of over 60,000 colleagues, all with a common goal to deliver an exceptional customer experience every day. We back our colleagues with the support they need to thrive, professionally and personally. That’s why we have Amex Flex, our enterprise working model that provides greater flexibility to colleagues while ensuring we preserve the important aspects of our unique in-person culture. Depending on role and business needs, colleagues will either work onsite, in a hybrid model (combination of in-office and virtual days) or fully virtually.

This is a Analyst/Sr Analyst-Data Science role within Finance Data Sciences & Analytics -- With a focus on data science and analytics, the FDS&A team creates enterprise, scalable solutions and customer experiences to help markets across strategic priorities. Charter is to drive data driven strategy for the business and accelerate innovation for both immediate impact as well as long-term transformation of our business. A unique aspect of FDS&A is the integration of diverse skills across all its remit.

Acquisitions & Portfolio Insights (API) team within the FDS&A organization is responsible for creating and maintaining insights and reporting solutions which enable our partners across finance and strategic markets to drive effective business strategies, make fact-based decisions and track business outcomes of acquisition campaigns.

HOW WILL YOU MAKE AN IMPACT IN THIS ROLE:

• Deliver analytical studies and actionable insights while engaging with partners on their information requirements.
• Plan project deliverables, prioritize day-to-day tasks, create project documentation, design, and monitor business performance indicators.
• Design and deliver high quality business insight suites, scalable solutions, and accurate scorecards in a timely manner.
• Work with cross-functional teams to find opportunities, understand business processes and propose new solutions.
• Adapt to emerging technology to develop clean well executed concepts and coordinate with cross functional teams on new solutions.
• Analyze the existing environment and derive opportunities, recommend alternative solutions to problems.
• Attend ad-hoc requests on solution support without impacting quality or timeliness.

SKILLS AND QUALIFICATIONS:

• Bachelor's in Statistics/Mathematics/Economics/ Engineering with relevant experience.
• Preferred: Post Graduation in Statistics/Mathematics/ Economics/Engineering/Management.
• 1-3 years of overall industry experience.
• Strong analytical skills combined with excellent presentation and interpersonal skills.
• Hands on in modelling and ML, statistics and hypothesis testing techniques.
• Hands on with data mining, cleansing, extraction/transformation to enable analysis, interpretation, and insights.
• Hands-on technical experience on Python, MLS, PySpark, SQL, HQL.
• Experience in data visualization tools like Tableau and Power BI will be a definite advantage.
• Hands on experience on AXP processes and platforms will be an advantage.

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.