Experienced Data Analyst – Quantitative Modeling and Predictive Analytics for Business Growth

About American Express

At American Express, we're committed to helping our customers succeed financially by delivering world-class products, services, and experiences that make their lives easier and more rewarding. As a leading global payments and financial services company, we're constantly innovating and pushing the boundaries of what's possible. Our team of talented professionals is passionate about making a difference in the lives of our customers and communities, and we're looking for like-minded individuals to join us on this journey.

Job Summary

We're seeking an experienced Data Analyst to join our team, responsible for developing and implementing quantitative models and predictive analytics to drive business growth and improve customer experiences. As a key member of our data science team, you'll work closely with cross-functional stakeholders to identify business opportunities, design and implement data-driven solutions, and communicate insights to inform strategic decision-making.

Key Responsibilities

• Develop and maintain complex statistical models and predictive analytics to drive business growth and improve customer experiences
• Analyze large datasets to identify trends, patterns, and correlations, and communicate findings to stakeholders
• Design and implement data-driven solutions to address business challenges and opportunities
• Collaborate with cross-functional teams to identify business needs and develop data-driven solutions
• Develop and maintain data visualizations and reports to communicate insights to stakeholders
• Stay up-to-date with industry trends and emerging technologies, and apply knowledge to drive innovation and improvement

Essential Qualifications

To be successful in this role, you'll need:

• A Bachelor's degree in Mathematics, Statistics, Computer Science, or a related field
• At least 3 years of experience in quantitative modeling and predictive analytics, preferably in the financial services industry
• Strong programming skills in languages such as Python, R, or SAS
• Experience with data visualization tools such as Tableau, Power BI, or D3.js
• Excellent analytical and problem-solving skills, with the ability to communicate complex ideas to non-technical stakeholders
• Strong collaboration and interpersonal skills, with the ability to work effectively with cross-functional teams

Preferred Qualifications

While not required, the following qualifications would be a plus:

• Master's degree in a quantitative field such as Mathematics, Statistics, or Computer Science
• Experience with machine learning algorithms and deep learning techniques
• Knowledge of data warehousing and business intelligence tools such as Teradata, HiveQL, or SQL
• Experience with cloud-based data platforms such as AWS or Azure
• Certifications in data science or analytics, such as Certified Data Scientist (CDS) or Certified Analytics Professional (CAP)

Skills and Competencies

To succeed in this role, you'll need to demonstrate the following skills and competencies:

• Strong analytical and problem-solving skills, with the ability to communicate complex ideas to non-technical stakeholders
• Excellent collaboration and interpersonal skills, with the ability to work effectively with cross-functional teams
• Strong programming skills in languages such as Python, R, or SAS
• Experience with data visualization tools such as Tableau, Power BI, or D3.js
• Knowledge of data warehousing and business intelligence tools such as Teradata, HiveQL, or SQL
• Ability to work in a fast-paced environment and prioritize multiple projects and deadlines
• Strong communication and presentation skills, with the ability to communicate complex ideas to non-technical stakeholders

Career Growth Opportunities and Learning Benefits

We're committed to helping our employees grow and develop their careers, with opportunities for professional development and advancement. Our learning benefits include:

• Access to online training and development programs, including data science and analytics courses
• Opportunities for mentorship and coaching from experienced professionals
• Collaboration with cross-functional teams to drive innovation and improvement
• Access to industry-leading tools and technologies, including cloud-based data platforms and machine learning algorithms

Work Environment and Company Culture

We're proud of our inclusive and diverse work environment, where everyone has the opportunity to grow and succeed. Our company culture is built on the following values:

• Customer obsession: We're passionate about delivering world-class products and services that make our customers' lives easier and more rewarding
• Innovation: We're constantly innovating and pushing the boundaries of what's possible, with a focus on emerging technologies and trends
• Collaboration: We work closely with cross-functional teams to drive innovation and improvement, and we're committed to building strong relationships with our customers and partners
• Integrity: We're committed to acting with integrity and transparency, with a focus on ethics and compliance

Compensation, Perks, and Benefits

We offer a competitive compensation package, including:

• A base salary of $19/hour
• Extra motivators and bonuses
• 6% organization match on retirement savings plan
• Free financial education and financial wellness support
• Comprehensive clinical, dental, vision, disaster insurance, and disability benefits
• 20+ weeks paid parental leave for all parents, regardless of orientation, presented for pregnancy, adoption, or surrogacy
• Free access to worldwide on-site health centers set up with attendants and specialists (dependent on location)
• Free and private advising support through our Sound Personalities program
• Job development and training potential opportunities

How to Apply

If you're passionate about data science and analytics, and you're looking for a challenging and rewarding career opportunity, we encourage you to apply for this role. Please submit your resume and cover letter, and we'll be in touch to discuss your qualifications further.