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Tamara Eliscovich Sigal

Mid-level Analytics & Strategy professional specializing in FinTech and SaaS revenue growth

New York, NYVice President of Partnerships and Strategy5 years experienceMid-LevelFinTechSaaSE-commerce
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About

Data-driven operator/analytics leader with experience spanning post-acquisition integration (Papaya Global/Azimo), executive BI systems (warehouse + dbt + Looker), and high-tempo operations leadership (managed Rappi’s Argentina fleet during COVID). Has repeatedly aligned senior stakeholders by defining KPIs upfront, building scenario models in SQL/Python, and operationalizing a trusted single source of truth for leadership.

Experience

Vice President of Partnerships and StrategyColumbia Product Managers Club
Product Monetization & Revenue Analytics InternChipper Cash
Analytics LeadPapaya Global
Senior Strategy AnalystPapaya Global
Semi-Senior Regional Pricing AnalystMercado Libre
Operations AnalystRappi
(survival, shooting, defense)Israeli Defense Forces

Education

Columbia Engineering School & Columbia Business Schoolmaster, Business Analytics (2025)
Torcuato Di Tella Universitybachelor, Economics (2020)
University of Virginiabachelor, Interdisciplinary Statistics - Actuarial Finance (2017)

Key Strengths

  • Led post-acquisition integration across finance, product, and data; remained as one of only two London employees post-acquisition to implement the integration plan
  • Built multiple scenario forecasts/models in SQL and Python to support executive decision-making under uncertainty
  • Created a single source of truth by merging databases into one warehouse and standardizing definitions; built dbt models feeding Looker executive dashboards
  • Improved executive decision speed via automated KPI monitoring/alerts and concise weekly leadership briefings
  • Balanced strategic planning with real-time operational firefighting while managing Argentina delivery fleet during COVID
  • Drove cross-functional alignment on KPI selection and weekly measurement for a new-country launch (Peru) using competitor/analog-country data and assumptions
  • Handled highly sensitive compensation/contract data with anonymization and strict need-to-know controls

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Languages

SpanishHebrewEnglish

Skills

SQLPythonSalesforceTableauPower BISnowflakeBusiness AnalyticsRevenue AnalyticsProduct MonetizationPricing StrategyPricing AnalysisForecastingForecasting ModelsFinancial ModelingData Implementation