Summary
Overview
Work History
Education
Skills
Notable Highlights
Timeline
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Scott Fasuyi

Mississauga,Canada

Summary

Results-driven Data Analyst with expertise in SQL and Tableau, recognized for enhancing operational efficiency at Global Payments Inc. by designing predictive models and real-time dashboards. Proven ability to collaborate cross-functionally, delivering insights that supported market expansion and improved decision-making, while demonstrating strong analytical and communication skills.

Overview

5
5
years of professional experience

Work History

Data Analyst

Global Payments Inc.
05.2024 - Current
  • Spearheaded the analysis of large-scale transactional data using SQL, Python, and Tableau, designing real-time dashboards and predictive models that improved pricing strategies, streamlined operational workflows, and guided market expansion initiatives across key regions.
  • Designed and deployed interactive Tableau dashboards, at Global Payments, that monitored payment adoption and installation timelines, reducing project delays by 30%.
  • Collaborated cross-functionally with finance and product teams to perform strategic market expansion modeling, supporting successful entry into 3 new regions and achieving risk-adjusted ROI exceeding 15%, enabling more confident, data-backed decision-making.
  • Authored and delivered weekly performance reports aligned with audit best practices, ensuring reporting transparency, regulatory compliance, and stakeholder confidence.

Data Analyst

NextGear Capital
02.2022 - 05.2024
  • Supported over 22,000 automotive dealers across the U.S., Canada, U.K., and Ireland by delivering flexible credit solutions and digital tools that streamlined vehicle procurement and dealer operations.
  • Reduced default risk exposure by 18% by developing a telematics-integrated Tableau tracker to proactively identify early-stage delinquencies, enabling targeted interventions and risk mitigation.
  • Automated daily credit risk and funding reports using Python and VBA, cutting manual processing time from 5 hours to under 30 minutes, increasing reporting efficiency and reducing operational risk.
  • Employed SQL to analyze loan utilization patterns across a network of 100+ dealers, uncovering underutilized credit lines and informing a reallocation strategy that led to a 20% improvement in average credit utilization.
  • Presented key insights on digital campaign performance and business outcomes to senior leadership and marketing stakeholders, facilitating data-informed strategy refinement and stakeholder alignment.

Data Specialist

Manheim Toronto
07.2020 - 02.2022
  • Conducted in-depth analysis of vehicle logistics and auction data to optimize lot throughput, enhance both live and online sales operations, and support strategic decision-making across stakeholder groups.
  • Engineered Python-based predictive models to forecast late payment defaults and dealer churn, empowering the credit team with early-warning signals that enabled targeted interventions and led to a 15% reduction in risk exposure.
  • Mined over 2 million auction-lane records using SQL and Python to identify key predictors of 'no-sale' events, including price, condition grade, and weekday effects, resulting in strategic recommendations that cut the no-sale rate by 19% and accelerated inventory turnover by 3 days.
  • Developed Tableau dashboards to segment dealer portfolios by region, size, and performance, delivering critical insights that guided sales targeting strategies and credit policy adjustments at the leadership level.

Junior Data Specialist

Desjardins General Insurance Group
01.2015 - 07.2020
  • Designed and automated scalable data models and processing pipelines using SQL, Python, R, and cloud platforms such as Azure and Hadoop, while collaborating closely with actuarial and data science teams to align solutions with analytical and business objectives.
  • Led dashboard-driven analysis that identified key performance bottlenecks, contributing to a 60% improvement in KPIs, including call response speed, service levels, NPS, and revenue performance.
  • Automated manual reporting processes in Tableau, reducing manual report preparation time by 40%.
  • Uncovered pricing inefficiencies through regional trend analysis, leading to a projected 25% cost savings for client accounts in Southwestern Ontario.

Education

Data Science Certificate -

Utiva
01.2024

Quality Assurance Certificate -

TIPT

Bachelor of Science (B.S.) - Statistics

University of Toronto

Skills

  • SQL and Tableau
  • Advanced Excel
  • Python programming
  • Power BI and R
  • Data engineering
  • BigQuery and Azure
  • Databricks
  • Salesforce and SAP
  • Data governance
  • SPSS and Minitab

Notable Highlights

  • Championed the execution of a dashboard-driven KPI optimization initiative at Desjardins Insurance Group that improved customer experience metrics, including call response times and NPS, by 60%.
  • Leveraged SQL and Python to uncover trends in customer behavior, delivering predictive insights that drove an 18% increase in solution adoption across targeted markets.
  • Achieved a 90% reduction in manual reporting time, at NextGear Capital, by automating credit risk and funding reports using Python and Visual Basic for Applications (VBA).
  • Recognized as an Outstanding Performer for Quarter 2, and awarded Top Performance in Data for 2021, at NextGear Capital, reflecting consistent excellence in business development, data-driven impact, and cross-functional collaboration.

Timeline

Data Analyst

Global Payments Inc.
05.2024 - Current

Data Analyst

NextGear Capital
02.2022 - 05.2024

Data Specialist

Manheim Toronto
07.2020 - 02.2022

Junior Data Specialist

Desjardins General Insurance Group
01.2015 - 07.2020

Data Science Certificate -

Utiva

Quality Assurance Certificate -

TIPT

Bachelor of Science (B.S.) - Statistics

University of Toronto

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