Summary
Overview
Work History
Education
Skills
Languages
Timeline
Generic
Nihale LAAMIMECH

Nihale LAAMIMECH

Paris

Summary

Data Analyst with proven experience at EDF, L'Oréal, and Stellantis, adept at converting complex business requirements into actionable insights. Expertise in data-driven decision-making and dashboard development enhances organizational performance. Strong background in cross-functional collaboration to drive strategic initiatives and improve operational efficiency.

Overview

2
2
years of professional experience

Work History

Data Analyst

Setec Eocen - EDF DIPDE
Marseille
04.2024 - Current

Developed dashboards for EDF DIPDE division, incorporating key performance indicators (KPIs) to monitor deliverables, oversee schedules, evaluate quality, and predict risks.

  • Analyzed internal processes to identify and address the specific needs of the DIPDE division.
  • Extracted and manipulated data using PostgreSQL.
  • Designed and implemented proof of concepts (POCs) to test and validate BI solutions before deployment.
  • Automated data workflows using Tableau Prep.
  • Analyzed large datasets to identify trends, patterns and correlations for business insights.
  • Created dynamic and interactive reports with SAP BusinessObjects to enhance data visualization and support decision-making.
  • Worked in Agile methodology using Jira and Confluence.
  • Created user guides and training materials for dashboard usage.

Skills: Tableau Desktop, Tableau Server, Tableau Prep Builder, SAP BO, Pentaho, PostgreSQL, Confluence, Jira, Planisware, GitHub, and Agile project management.

Data Engineer

L'OREAL
Clichy, Ile De France
03.2023 - 08.2023

Developed analytical reports across all zones and business divisions to manage inventory, track real-time revenue, analyze promotional events, and assess sales forecast accuracy.

  • Designed and developed interactive dashboards in Power BI, aligned with business specifications, and integrating key KPIs (Net Sales, Stock Levels, Customer Satisfaction).
  • Loaded and transformed data using BigQuery within a cloud-based architecture.
  • Improved data quality and increased report reliability by 90%.
  • Actively contributed to an Agile team of 20 members, tracking user stories with ServiceNow and Jira.

Skills: Power BI, GCP, Scrum, BigQuery, ELT (Extract, Load, Transform), GitHub, Confluence, ServiceNow, Jira.

Education

Master's Degree - Data Science Technologies And Distributed Systems

University of Paris-Est Créteil (UPEC)
Val-de-Marne, France
09-2023

Engineering Degree - Data Science And Cloud Computing

National School of Applied Sciences (ENSA)
Oujda, Morocco
09-2022

Skills

  • Business Intelligence: Power BI, Tableau Desktop, Tableau Prep Builder, Qlik Sense, ETL, ELT, SAP BusinessObjects (BO), Looker Studio
  • ETL tools: Pentaho, Talend
  • Cloud computing: GCP (BigQuery, Dataflow), Azure
  • Programming languages: Python, R, Java
  • Database: SQL (MySQL, PostgreSQL, PL/SQL)
  • Microsoft Office: Excel, Pivot, Word, PowerPoint
  • Project management: Planisware, Agile, Scrum, Kanban board, Confluence, Jira

Languages

French
First Language
English
Advanced (C1)
C1

Timeline

Data Analyst

Setec Eocen - EDF DIPDE
04.2024 - Current

Data Engineer

L'OREAL
03.2023 - 08.2023

Master's Degree - Data Science Technologies And Distributed Systems

University of Paris-Est Créteil (UPEC)

Engineering Degree - Data Science And Cloud Computing

National School of Applied Sciences (ENSA)
Nihale LAAMIMECH