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Collin PriestCP

Collin Priest

Payments & Data Analyst

€125/day
Paris, FR
0-2 years

Average response time: 1 hour

About Collin

I help startups and scale-ups make sense of their product and revenue data. My expertise lies in extracting actionable insights from often opaque or multi-source data.

Types of analysis I typically handle:

  • Churn and retention modelling (cohort analysis, identifying drop-off patterns)
  • Payment and subscription data reconciliation (Stripe, across CRM and product data)
  • KPI dashboard design and reporting for commercial and ops teams
  • Funnel and behavioral analytics (event-level data)
  • Process and workflow audits with quantified improvement recommendations
Analytical mind with a love for optimization!
Working in English.
  • English

    Native or bilingual

  • French

    Basic

  • Spanish

    Basic

Can work on-site
Paris (up to 20km)

Experience

  • Bonsai (acquired by Zoom)
    Data & Operations Analyst
    June 2025 - December 2025 (6 months)
    Paris, France
    • Analyzed churn using SQL, Excel, and Mixpanel to model payment data and user behavior, identifying a critical friction point, projecting a 26% payment conversion increase.
    • Identified and reconciled a 30% discrepancy between Stripe and Mixpanel reporting metrics, establishing a single source of truth for Product and Operations team decision-making.
    • Reduced data processing time 35% with advanced Excel formulas (VLOOKUP, XLOOKUP, INDEX MATCH, nested formulas) to consolidate multi-source client data efficiently and accurately.
    • Rebuilt the VIP client onboarding pipeline, cutting processing time from 21 days to 7 (66%) through automation and process redesign.
    • Built and designed multiple BI dashboards for Operations, Finance, Product, Marketing & Ad-hoc asks.
    Tableau software Stripe Data visualization Microsoft Excel Python
  • Convergence U.S.
    Business Analyst
    June 2024 - December 2024 (6 months)
    • Modelled profitability scenarios in Excel to validate assumptions and create a unified forecast from multiple stakeholders.
    • Analyzed customer data to improve revenue segmentation.
    • Designed ML sales optimization engine using SQL and Python.
    • Developed GTM strategies for impact-driven revenue-share programs designed to support veterans.
    Machine learning Python Microsoft Excel Financial Modeling
  • TBS Barcelona Finance Association
    Founder & Co-President
    January 2024 - January 2025 (1 year)
    • Enhanced overall class exam performance by 29% for 100+ students by organized special lectures, upskilling workshops, networking sessions, and publishing weekly newsletters.

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Education

  • TBS Education
    2025
  • Exchange Program
    Hong Kong Polytechnic University
    2024
    Exchange Program

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