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TLS MIS & Analytics (within GSG) team has grown significantly in the last few years. It provides significant analytical and reporting support to T&LS stakeholders in US and 22 international markets. The TLS MIS & Analytics team leads endeavors that supports business strategic priorities by providing next gen MIS and leveraging advanced analytics and decision science. The team utilizes an array of tools and ever-evolving technology to understand CM sentiment, Servicing team performance, CM spending behavior, Business profitability and identifying disruptions to customer experience. These analytics are used for key business decisions made across the customer life cycle to accelerate profitable business growth.
How will you make an impact in this role?
The candidate will be part of TLS MIS & Analytics team in GSG. The main objective of the TLS MIS team is to improve the TLS servicing channel and optimize it without affecting customer experience. Incumbent will enable a strong decision support model to equip TLS leaders with relevant and critical business insights through best-in-class MIS and analysis, enabling them to make well-informed strategic decisions.
As a Business Analyst, you will play a critical role in handling data & platform related issues, managing communications with Technology and Business teams. We are looking for proven skills and experience in SQL, Python, PySpark and BigQuery, and excellent communication skills.
Design, develop, and maintain data pipelines using PySpark, Python, and SQL - Work with BigQuery to optimize and support data storage, processing, and retrieval
Strengthen foundation by exploring bigdata platforms (CS, etc.) for new tables/missing metrics.
Translation of complex analytical output into easily digested insights with clear recommendations
Develop advanced understanding of data sources and potential usage scenarios.
Identify new technologies and capabilities that can advance and future proof analytical solutions.
Write efficient Shell scripts to automate data processing tasks
Create and manage cron jobs to ensure timely data processing
Collaborate with cross-functional teams to understand data requirements and deliver solutions
Handle large volumes of data with ease, ensuring data quality and integrity
Communicate technical ideas and solutions to non-technical stakeholders
Minimum Qualifications
2+ years of experience in Business Analyst, Data Engineering or related field
Strong proficiency in:
SQL (querying, optimization)
Python (programming, scripting)
PySpark (data processing, ETL)
BigQuery (querying, optimization)
Shell scripting (automation, cron jobs)
Experience handling large volumes of data
Excellent communication and collaboration skills
Self-starter with a "never say die" attitude
Ability to work in a fast-paced environment and adapt to changing priorities
Preferred Qualifications
Nice to Have:
Experience with cloud-based data platforms GCP, AWS
Knowledge of data modeling
Familiarity with agile development methodologies
Experience in big data query and analytical tool such as Hive, Yellow bricks, MLS, BigQuery
Experience in visualization tools such as Tableau or Power BI is preferred.
Extensive Exposure of MS tools advance MS Excel, PowerPoint, MS Access
We back our colleagues and their loved ones with benefits and programs that support their holistic well-being. That means we prioritize their physical, financial, and mental health through each stage of life. 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 work arrangements and schedules with hybrid and virtual options with Amex Flex
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
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.