American Express
American Express
American Express — банк ісі, қаржы және B2B төлемдері салаларында жұмыс істейтін жаһандық қаржылық қызметтер компаниясы. Компанияның қызметтері жеке тұлғаларға, бизнеске және корпоративтік клиенттерге арналған кредит карталарын, төлем және саудагерлерге қызмет көрсету сервистерін, жинақ шоттарын, депозиттік сертификаттарды және жеке қарыздарды, сондай-ақ сыйақы бағдарламаларын, саяхат бағдарламаларын, корпоративтік төлем шешімдерін, қаржылық білім беруді, қауіпсіздік қызметтерін және карта ұстаушылар мен саудагерлерге қолдау көрсетуді қамтиды.

Senior Data Governance Analyst – American Express (Bengaluru, Hybrid)

Support American Express customer-management risk models through data governance, quality improvement, automation, and analytics. Use BigQuery and Python to strengthen data capabilities and analytical performance.

Сипаттама

  • Build, assess, and maintain datasets and data capabilities for customer-management and risk models across development, execution, and performance monitoring.
  • Examine complex datasets to uncover patterns, trends, quality concerns, and areas for improvement.
  • Automate manual activities, streamline workflows, and strengthen operational efficiency.
  • Improve data capabilities while limiting avoidable storage, processing, and maintenance costs.
  • Apply new ideas in data, analytics, automation, and machine learning to enhance existing capabilities.
  • Work with risk, analytics, technology, and business teams to make data more accessible, reliable, governed, and usable.
  • Present analytical results, recommendations, risks, and business implications clearly to leaders and key stakeholders.
  • Break down ambiguous challenges by asking focused questions, assessing alternatives, and turning analysis into practical solutions.

Талаптар

  • MBA or master's degree in economics, statistics, computer science, data science, or a related quantitative discipline.
  • Up to 30 months of relevant experience in analytics, data management, data governance, or related data capabilities.
  • Practical knowledge of BigQuery and Python, including the ability to work with large datasets.
  • Understanding of data analysis principles and how to turn findings into useful business insights.
  • Ability to manage project deliverables and advance initiatives toward measurable outcomes.
  • Strong analytical and problem-solving ability when addressing complex or ambiguous challenges.
  • Capacity to work independently, own assigned deliverables, and contribute effectively in a team setting.
  • Clear written and verbal communication skills for engaging technical and non-technical stakeholders.
  • Hands-on experience with BigQuery, Python, SQL, or comparable data and analytics technologies.
  • Experience creating or supporting automated data processes and workflows.
  • Familiarity with data governance, data quality, metadata, lineage, or lifecycle management.
  • Understanding of model development, performance monitoring, or data needs for analytical and machine learning models.
  • Exposure to financial services, payments, credit risk, fraud risk, or customer analytics.
  • Employment is subject to successful completion of a background verification check in accordance with applicable laws and regulations.

Артықшылықтар

  • Competitive base pay.
  • Bonus opportunities.
  • Financial-wellness and retirement support.
  • Medical, dental, vision, life insurance, and disability coverage, subject to location.
  • Flexible hybrid, onsite, or virtual work arrangements based on the role and business needs.
  • Paid parental leave, subject to location.
  • Access to global onsite wellness centers staffed by nurses and doctors, subject to location.
  • Confidential counseling through the Healthy Minds program.
  • Career development and training programs.

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