Data Scientist - Visa Consulting & Analytics

New
J
JobgetherFinancial Services
Fully remote position based in IndiaFull-TimeMiddle
Salary not disclosed
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Job Details

Experience
At least 3 years
Required Skills
PythonSQLHadoopMicrosoft ExcelPowerPointR

Requirements

  • Bachelor’s degree in a quantitative discipline such as Statistics, Mathematics, Operations Research, Computer Science, Economics, Engineering, or a related field; an advanced degree is an advantage.
  • At least 3 years of experience applying analytics and statistical techniques to solve business problems.
  • Demonstrated experience using data and analytics to generate measurable business value.
  • Experience in credit card analytics and/or retail banking analytics is strongly preferred.
  • Hands-on experience with one or more analytics and programming technologies such as SAS, Hadoop, R, SQL, Python, or Hive.
  • Strong analytical and problem-solving capabilities.
  • Excellent presentation and data storytelling skills, including strong proficiency with Microsoft Excel and PowerPoint.
  • Ability to translate technical findings into practical recommendations for business stakeholders.
  • Strong communication and stakeholder management skills.
  • Experience collaborating with data science communities and cross-functional teams.

Responsibilities

  • Deliver end-to-end data analytics projects for clients, translating business challenges into actionable analytical strategies and solutions.
  • Develop and support credit card portfolio strategies using client data, payments data, third-party sources, and other relevant datasets.
  • Apply statistical and analytical techniques to identify opportunities for growth, profitability, customer acquisition, engagement, and portfolio management.
  • Act as a data analytics advocate with client and partner teams, advising stakeholders and sharing relevant analytical methodologies, best practices, and case studies.
  • Explore new data sources, analytical tools, technology platforms, infrastructure, and potential analytics partnerships to strengthen solution capabilities.
  • Translate complex analytical findings into clear business recommendations and compelling data-driven narratives.
  • Collaborate with data scientists, analysts, statisticians, consultants, and other specialists to deliver high-impact solutions.
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