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Mondelēz International
Drive snack sales across China by building customer relationships, improving merchandising, executing promotions, and meeting field KPIs.
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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.
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.
Сипаттама
- 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
Талаптар
- 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
Артықшылықтар
- 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
Ұқсас жұмыс орындары
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