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Tier-1 brand, mid-level generalist role, metro location, and broad skillset make candidate competition high.
Analytics and engineering skills are transferable across industries, though payments domain knowledge moderately matters.
Explicit 4-7 years plus mandatory analytics and SQL/Tableau skills make filters stringent.
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Develop and maintain scalable value quantification frameworks for Services business unit offerings to deliver measurable impact.
Analyze data using tools like Excel, R, Python, and Tableau to generate insights and maintain dashboards tracking key performance metrics.
Collaborate with cross-functional teams and global customers to align solutions with business needs, manage projects, and drive program improvements.
4-7 years of experience in data analytics or related roles.
Bachelor’s degree in Data Science, Computer Science, Business Analytics, Economics, Finance, or related field.
Proficiency in SQL, VBA, Microsoft Excel, Word, PowerPoint, Access; programming and coding skills are a strong plus.
Work Experience Required: 4-7 years in a mid-level data analytics role or equivalent.
Techno-functional with strong analytical skills and ability to translate data analytics into business impact.
Experience with risk management disciplines and data visualization tools such as Tableau and business intelligence platforms.
Highly organized with project management capability, able to manage multiple tasks and stakeholder collaboration in a fast-paced environment.