Analyst-Data Analytics
American Express · Posted Oct 6
Banking, credit card, payment network, and travel services
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About the role
Global Commercial Services (GCS) serves millions of business customers worldwide, offering payment and cashflow tools, working capital and supply chain financing, and digital solutions for managing financial and payment needs. The Sales Enablement Organization focuses on accelerating commercial business growth through training, tools and insights, and the Sales Ops Technical team drives automation of operational processes across US SME channels. This role designs and implements process automations using Python, SQL and Hive, partners with Sales, Marketing, Technology and Analytics stakeholders, and identifies trends, risks and opportunities to improve business decision-making.
What you will do
- Design and implement automations for different operational processes across US SME channels.
- Foster strong partnerships with relevant stakeholders, including the SME Sales and AD organization, Oneforce Capabilities, Tech, Control Management, and CEG, to ensure alignment and successful implementation of
- Have outstanding knowledge of Python, SQL, and Hive, encompassing data manipulation and statistical modeling/data-mining techniques
- Analyze, deep dive, explore to identify process gaps and problem solve them by collaborating across teams.
- Detailed execution of the development, validation and implementation of automated operational solutions with minimal to no manual intervention
- Oversee and guide contractors and apprentices to ensure accurate, timely, and efficient execution of daily BAU operational tasks.
- Challenge status quo, innovate, and harbor strong curiosity. Proactively identify opportunities to improve processes by evaluating and challenging existing approaches
Skills used in this role
What the employer is looking for
- Bachelor’s Degree required, preferably in a quantitative field (e.g., Economics, Finance, Accounting, Statistics, Artificial Intelligence, Data Analytics, Engineering)
- Must Have - High proficiency in Python and SQL, with strong working knowledge of analytical tools (e.g., Hive, PySpark, scikit-learn etc.)
- Programming: SQL, SAS, Python/R, Unix scripting, Excel/VBA
- Experience in Big Data environment, inclusive of data mining techniques.
- Experience applying advanced statistical and/or quantitative techniques to solve business problems
- Hands-on analytics and machine learning (ML) experience with understanding of data processing and model validation. Ability to address performance issues and to manipulate both structured and unstructured data
- Advanced knowledge of Microsoft Office Suite (Excel pivot, macros, deck-writing)
- Ability to cultivate relationships and partner with multiple collaborators, with superb interpersonal and communication skills
- Ability to deliver results, work independently, and prioritize tasks
- Self-starter who thrives in an evolving, dynamic environment
Preferred qualifications
- Proficiency in CRM tools, Salesforce, or statistical software programs
- GCS + USSME Business knowledge
- Big data platform (Hadoop, SPARK, NoSQL DB, RDBMS)
- Cloud Products & Services like Google Cloud
- Visualization: Tableau, Power BI, Power Automate, Splunk
- Servicing Platforms like Service Now
- Others: Confluence, Sharepoint or any other workflow and content management tool
Benefits and support
- 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
About American Express
American Express Company is a globally recognized multinational financial services corporation specializing in payment cards, travel-related services, and network banking. Founded in 1850, the company provides charge and credit cards, expense management products, and merchant services to consumers, small businesses, and large corporations worldwide. It operates a proprietary payments network known for its premium customer engagement and lifestyle rewards programs.
- Industry
- Banking
- Company size
- 76800 employees
- Founded
- 1850-03-18
- Location
- New York City, New York, USA
- Funding stage
- Public Company
Leadership
Chairman and Chief Executive Officer
Chief Financial Officer
Chief Information Officer and Executive Vice President
Chief Colleague Experience Officer
Chief Marketing Officer
Recent coverage
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