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Becca C

Becca C

Strategy & Operations

Engineering / Architecture

New York City, New York

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About Becca C:

Strategy & Analytics professional with 4+ years of experience driving revenue growth, operational scalability, and data-informed decision making across fintech and e-commerce environments. I specialize in translating complex data into actionable business insights through SQL, Python, and Tableau, supporting KPI design, forecasting, and executive reporting.

My background spans product analytics, commercial strategy, and business operations, partnering closely with Product, Sales, and Operations teams to deliver measurable performance improvements. I bring a strong analytical foundation, consultative mindset, and hands-on experience in cross-functional execution, with a passion for building scalable solutions in fast-paced environments.

Currently based in New York and open to full-time Strategy & Analytics opportunities.

Experience

Strategy & Analytics professional with 4+ years of experience driving revenue growth and operational scalability across fintech and e-commerce environments. Currently working as a Product Business Analyst at an early-stage fintech startup, leading monetization-focused analytics including KPI design, onboarding funnel optimization, fraud risk monitoring, and executive dashboarding using SQL and Tableau. Previously drove market expansion and revenue forecasting as a Business Operations Project Manager by building Python- and SQL-based sales models, improving quarterly sales by 15% and client retention by 25%. Earlier experience at Shopee and Microsoft includes commercial strategy execution, cross-functional performance planning, and delivering data-backed recommendations to global stakeholders. Strong hands-on background in SQL, Python, Tableau, forecasting, KPI tracking, and translating complex analyses into actionable business insights.

Education

M.S. in Learning Analytics from Columbia University (GPA 3.8/4.0, merit-based scholarship) and MBA in Business Analytics from University of Illinois Chicago (GPA 3.85/4.0). Academic training focused on statistical analysis, predictive modeling, experimental design, and business strategy, complemented by hands-on experience with Python, SQL, Tableau, and data visualization.

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