Apprentice

Description du poste:

You Lead the Way. We've Got Your Back.
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.
Functional Description:
Enterprise Comms & MarTech Experiences (ECMX) is a global organization that sits within U.S. Consumer Services (USCS) and is American Express' marketing services center of excellence with the charter of driving high quality, customer-first marketing that accelerates business growth through optimized go-to-market solutions and the development of best-in-class MarTech products & processes.
Purpose of the role:
The candidate would be part of the Product Team for MarTech - UMDL (Unified Marketing Data Layer) and support data quality enablement and monitoring across UMDL products. The role will focus on helping the team define, track, validate, and report data quality checks for marketing data products used across global markets. The candidate will work closely with product, business, and technology partners to understand data definitions, analyze exceptions, document issues, and support timely remediation.
We are looking for an early-career candidate from a reputed college with strong analytical skills and hands-on knowledge of SQL, Excel, and BigQuery. Exposure to data profiling, reporting, and basic automation will be an added advantage

Profil requis du candidat:

* 0-1 year of experience, including internships, academic projects, or entry-level work in data analysis, reporting, or data quality monitoring
* Strong foundation in SQL and Excel, with ability to analyze datasets, identify patterns, and summarize findings
* Exposure to BigQuery, GCP, Python, or data visualization tools will be an added advantage
Academic Background:
* Bachelor's or Master's degree from a reputed college in a non-B.Tech discipline such as Statistics, Mathematics, Economics, Commerce, Business Analytics, Computer Applications, or related quantitative field
* Strong academic performance with demonstrated interest in data analytics, data management, or business reporting

Functional Skills:
* Basic understanding of data quality concepts such as completeness, accuracy, consistency, timeliness, and reconciliation
* Ability to translate business questions into data checks, summaries, and actionable insights
* Good communication, documentation, and collaboration skills with attention to detail and willingness to learn

Technical Skills:
* Strong SQL skills for querying, joining, filtering, aggregating, and validating large datasets
* Strong Excel skills, including pivot tables, lookups, formulas, data validation, and structured reporting
* Working knowledge of BigQuery or similar cloud-based data platforms is advantageous
* Ability to perform data profiling, exception analysis, reconciliation, and recurring monitoring

Apprenticeship Duration
* 6 months