Faadil Boussari

About the Candidate

FAADIL BOUSSARI
BUSINESS ANALYST
77420 CHAMPS-SUR-MARNE

CONTACT

+33 0615115338

[email protected]

https://www.linkedin.com/in/faadil-boussari-331593188/

FORMATION

MBA in Business Analytics

Laval University, Québec, CA

Sep 2022 – Sep 2024

Bachelor’s in administrative sciences, Finance

University of Québec in Outaouais, Québec, CA

Sep 2017 – June 2020

LANGUAGES

French : Native
English : Professional fluency

CORE COMPETENCIES

Software: Power BI, MS Office 365, SAP S/4 HANA FI/CO
Python (Pandas, data visualization libraries), R, SAS
Project Management: Agile, Lean
Data Architecture, Data Circulation, Predictive Modeling, Data Quality Assurance.

PROFESSIONAL PROFILE

Data Analyst with over 5 years of experience in data analytics and business intelligence, skilled in SQL, Python (including Pandas and data visualization libraries), and Power BI. Experienced in optimizing data workflows, with a solid understanding of data architecture and data circulation. Fluent in both French and English, and adept at delivering insights for informed decision-making in multicultural and global environments.

EXPÉRIENCE

Business Analyst – intermediate, Government du Canada, June 2023 – September 2024

Conducted data analysis using Power BI and SAS to support financial forecasting and trend analyses, contributing to decision-making processes for a large-scale organization.
Utilized SQL and Python for advanced data manipulation to enhance data workflows and ensure accuracy in reporting.

Functional Analyst, Telus Health, January 2023 – June 2023

Documented technical processes and led workshops with end users, optimizing ERP data workflows for enhanced operational efficiency.
Enhanced compliance reporting processes through streamlined data quality checks and workflow optimizations.

Junior Business Analyst, Wedacy, January 2019 – January 2023

Conducted in-depth data analysis using Python and SQL to validate financial reports and ensure data integrity, aligning with industry standards for accuracy.
Collaborated with business architects and IT teams to implement ERP system solutions, focusing on data quality, data integration and operational effectiveness.

PROJECTS & CERTIFICATIONS

Developed predictive models using data mining techniques to forecast client spending behaviors and optimize resource allocation.
Led the design and implementation a digital transformation plan for Éditions Mains.
Anaconda Python for Data Science Professional Certificate.