Data Science Senior Manager, Business and Strategy Analytics (Japan)

Visa
Japan
Workplace: HybridFull timeFunction: Data Science & Machine LearningEducation: mastersSkills: ["Analytical problem-solving","Collaboration","Intellectual curiosity","Attention to detail","Stakeholder communication"]

Drive business outcomes for Japan by creating value from Visa’s data assets. Partner with the AP Business and Strategy Analytics team to deliver data science projects, build statistical models using large-scale data, and produce data visualizations and actionable recommendations. Support strategic planning, analyze performance gaps, manage reporting dashboards, perform root-cause analysis, and collaborate across Japan leadership and cross-functional product, sales, consulting, and marketing teams. Hybrid role based in Tokyo.

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Visa
Visa
2 months ago

Data Science Senior Manager, Business and Strategy Analytics (Japan)

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Last checked: 17 hours agoStatus: Live

Job Summary

Drive business outcomes for Japan by creating value from Visa’s data assets. Partner with the AP Business and Strategy Analytics team to deliver data science projects, build statistical models using large-scale data, and produce data visualizations and actionable recommendations. Support strategic planning, analyze performance gaps, manage reporting dashboards, perform root-cause analysis, and collaborate across Japan leadership and cross-functional product, sales, consulting, and marketing teams. Hybrid role based in Tokyo.
Location: Japan
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key Responsibilities

  • •Support annual strategic planning and development of long-range revenue growth plan, including economic factors such as pricing and interchange.
  • •Analyze Visa data, market reports, and benchmarks to identify performance gaps and improvement opportunities.
  • •Develop long- and short-term strategic plans and formulate strategic projects to achieve financial targets and business volume goals.
  • •Manage and troubleshoot reporting via data dashboards, performing root-cause analysis to resolve data discrepancies and ensure data integrity.
  • •Partner with Japan leadership and collaborate with cross-functional product, sales, consulting, marketing, and government engagement teams to formulate and execute strategic initiatives.

Key Requirements

  • •Minimum 10 years applying statistical solutions to business problems.
  • •Post graduate degree in a quantitative field such as Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering (or equivalent experience).
  • •Experience working with real-world datasets and building scalable models from large-scale data.
  • •Hands-on experience with data analytics and data science tools/technologies including SQL, Python, Hive, R, Spark, TensorFlow, PyTorch, and scikit-learn.
  • •Proficiency in data visualization tools such as Tableau and PowerBI, plus knowledge of techniques like neural networks, gradient boosting, logistic regression, and advanced forecasting.
Experience:PaymentsCardsData science
Education:Master's in Quantitative field (Statistics, Mathematics, Operational Research, Computer Science, Economics, or engineering)
Skills:Analytical problem-solvingCollaborationIntellectual curiosityAttention to detailStakeholder communication
Languages:EnglishJapanese
Tech Stack:SQLPythonHiveRSparkTensorFlowPyTorchScikit-learnTableauPowerBINeural networksGradient boostingLogistic regression

Company Brief

Visa
Global payments technology company that operates the VisaNet electronic payments network, facilitating credit, debit and digital transactions between consumers, merchants, financial institutions and governments worldwide.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Francisco, United States
Founded: 1958
Glassdoor
Glassdoor: 3.8
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