Analyst-Data Analytics

About the Role

As an Analyst-Data Analytics at American Express, you will be responsible for collecting, analyzing, and interpreting complex data to inform business decisions. You will work closely with cross-functional teams to identify trends, optimize processes, and drive business growth. Your day-to-day tasks will involve data visualization, statistical modeling, and data mining.

Key Responsibilities

• Collect and analyze large datasets to identify trends and insights
• Develop and maintain data visualizations to communicate findings to stakeholders
• Collaborate with business teams to identify areas for process improvement
• Design and implement statistical models to predict business outcomes
• Stay up-to-date with industry trends and emerging technologies in data analytics
• Communicate complex data insights to non-technical stakeholders
• Contribute to the development of data-driven business strategies

Skills & Qualifications

• Bachelor's degree in Computer Science, Statistics, Mathematics, or related field
• Strong understanding of data structures, algorithms, and software design patterns
• Experience with data analysis tools such as Express.js
• Proficiency in data visualization tools such as Tableau or Power BI
• Strong communication and interpersonal skills
• Ability to work in a fast-paced, dynamic environment
• Certification in data science or analytics is a plus

What You'll Learn

As an Analyst-Data Analytics at American Express, you will have the opportunity to learn from experienced professionals and develop a wide range of skills in data analysis, visualization, and interpretation. You will gain hands-on experience with industry-leading tools and technologies, and contribute to the development of data-driven business strategies. This role will help you build a strong foundation in data analytics and prepare you for future roles in data science, business intelligence, or management.

Resume Tip

When applying for this role, make sure to highlight your experience with data analysis tools and technologies, such as Express.js. Include specific examples of data projects you have worked on, and the insights you were able to derive from the data. This will help demonstrate your skills and ability to contribute to the team.