Resume

Business Analyst · Business Intelligence · Data Analytics

Josie Dionne
Oakland, CA · josie@ask-josie.com · (224) 340-8243 · linkedin.com/in/josiedionne · ask-josie.com
Business Analyst | Business Intelligence | Data Analytics
Summary

Business analyst with 10+ years of experience in analytics and operations. At Compass Group USA, I built reporting used across more than 2,000 locations and worked with leaders on labor, pricing, and financial performance. I’m strongest at taking a messy business question, finding the right data, and making the results useful to the people making decisions.

Core Competencies
Tools:SQL · Tableau · Python · Power BI · Snowflake · Excel · Pandas · NumPy
Focus:KPI Reporting · Dashboard development · Data modeling · Financial and operational analytics · Forecasting · Requirements gathering · Process improvement · Stakeholder management
Experience
Manager, Business IntelligenceApr 2022 to Feb 2024
E15 Group (Compass Group USA) · Chicago, IL | Previously Manager, Strategy & Analytics
  • Led enterprise analytics for 2,000+ locations using SQL data models, Tableau dashboards, and executive reporting.
  • Designed an analytics platform that condensed 6B+ operational records into a 14M-row dataset powering six enterprise dashboards.
  • Developed KPIs across labor, purchasing, pricing, operations, and finance to support forecasting and leadership decisions.
  • Built SQL and Python data pipelines for consistent reporting and secure, role-based access; managed and mentored analytics staff and internship program; co-led DEI initiatives.
Senior Analyst, Strategy & AnalyticsNov 2021 to Apr 2022
E15 Group (Compass Group USA) · Chicago, IL
  • Built dashboards and recurring reports that improved executive visibility into operations and business KPIs.
  • Analyzed pricing, purchasing, forecasting, and operations needs with cross-functional teams and delivered recommendations.
Regional Director of OperationsJan 2016 to Oct 2021
Quest Events · Chicago, IL | Promoted three times
  • Built pricing model using customer behavior and demand data, contributing to 15.4% annual revenue growth (~$8.5M) with 0% customer churn.
  • Reduced overtime and operational waste by 18% through analytics-based scheduling, CRM workflows, and standardized procedures.
  • Led 10 locations and 100+ employees, using KPI reporting to guide staffing, service delivery, and financial reviews.
Education
M.S., Bioinformatics Data Science, University of DelawareIn progress
B.S., Biology, Northeastern Illinois University2016