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American Express
American Express
B2BFinanțeServicii bancare
American Express este o companie globală de servicii financiare care activează în domeniile bancar, financiar și al plăților între companii. Activitatea sa include carduri de credit pentru consumatori, companii și corporații; servicii de plată și pentru comercianți; conturi de economii, certificate de depozit și împrumuturi personale; precum și programe de recompense, programe de călătorii, soluții de plată pentru companii, educație financiară, servicii de securitate și asistență pentru membrii care dețin carduri și pentru comercianți.
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Data Analyst, US SME Sales Automation - American Express (Hybrid, India)

Automate US SME sales operations at American Express by developing Python and SQL solutions, applying machine learning, and improving data-driven decisions.

INIndiaHibridNormă întreagăNivel mediuSeniorLimbă Obligatorie: englezăAnalist de date
CloudHadoopNoSQLPySparkPythonRDBMSScikit-LearnServiceNowSparkSplunkSQLTableauUnixVBA

Descriere

  • Build automation solutions for operational processes supporting US SME channels
  • Develop cross-functional partnerships across SME Sales, AD, Oneforce Capabilities, Technology, Control Management, and CEG
  • Use Python, SQL, and Hive for data preparation, statistical modeling, and data mining
  • Investigate process gaps and collaborate across teams to resolve operational challenges
  • Develop, validate, and implement automated solutions that minimize manual intervention
  • Supervise contractors and apprentices to support accurate, timely, and efficient business-as-usual operations
  • Evaluate existing methods, challenge established practices, and identify process improvement opportunities

Cerințe

  • Bachelor’s degree required, preferably in a quantitative discipline such as economics, finance, accounting, statistics, artificial intelligence, data analytics, or engineering
  • Advanced proficiency in Python and SQL, plus practical experience with analytical tools such as Hive, PySpark, and scikit-learn
  • Programming experience with SQL, SAS, Python or R, Unix scripting, and Excel/VBA
  • Experience working in big data environments and applying data-mining techniques
  • Experience using advanced statistical or quantitative methods to address business problems
  • Hands-on experience with analytics and machine learning, including data processing and model validation
  • Ability to troubleshoot performance issues and work with structured and unstructured data
  • Advanced proficiency with Microsoft Office Suite, including Excel pivot tables, macros, and presentation development
  • Strong relationship-building, collaboration, interpersonal, and communication skills
  • Ability to deliver results independently while managing competing priorities
  • Self-directed approach and comfort working in a changing, fast-paced environment
  • Preferred: experience with CRM platforms, Salesforce, or statistical software
  • Preferred: knowledge of GCS and USSME business operations
  • Preferred: familiarity with Hadoop, Spark, NoSQL databases, and relational database management systems
  • Preferred: experience with cloud products and services such as Google Cloud
  • Preferred: experience with visualization and automation tools including Tableau, Power BI, Power Automate, and Splunk
  • Preferred: experience with servicing platforms such as ServiceNow
  • Preferred: familiarity with Confluence, SharePoint, or other workflow and content management platforms

Beneficii

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

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