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Strong brand, metro location, mid-level generalist Data Scientist role with common tools increases competition.
Core analytics skills transfer across industries but payments/pricing focus raises domain specificity moderately.
Explicit 5+ years and mandatory Python/SQL/BI skills create moderate shortlisting rigidity.
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Design and implement value enablement frameworks to optimize pricing strategies, enhance pre-sales propositions, and ensure customer success.
Lead development of advanced analytics tools (e.g., ROI calculators, value dashboards) using Python, SQL, and BI tools for measuring and improving business performance.
Manage strategic initiatives and collaborate with global/regional teams and stakeholders to deliver data-driven insights and scalable solutions.
5+ years of experience in analytics, data science, pricing strategy, customer success, or related fields; payments industry experience is a strong plus.
Proficient in Python, SQL, and BI tools such as Tableau or Power BI for data analysis and visualization.
Bachelor’s degree in Data Science, Computer Science, Business Analytics, Economics, Finance, or related field.
Work Experience Required: 5+ years
Experienced in building and scaling data-driven tools with measurable business outcomes, preferably in payments or financial services domains.
Skilled at translating complex business problems into analytical solutions that inform pricing and customer success strategies.
Strong collaborator able to lead cross-functional teams and communicate technical insights effectively to non-technical stakeholders.