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Data Analyst

Location:
Tokyo, Tokyo Prefecture, Japan
Posted:
April 02, 2021

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Resume:

Nadhir Brighet

Address: ***-**** *****-**, *********-ku Koyamadai 2−3−11

Tel : + 81 (0-70-856*-**** Email : adlc5c@r.postjobfree.com LinkedIn: linkedin.com/in/nadhir-brighet-1286321b5/ Visa: Japanese Spouse Visa Feb-2024

Objective

Adaptable and easy learner having had the chance to work in different fields and countries. Stimulated by problem solving and challenging tasks, I am looking for a new challenge where I can contribute with my technical and interpersonal skills. Professional Career

OYO Hotels Japan Tokyo, Japan

Data Analyst- Growth Oct2020 – Present

Creating and maintaining Google Studio Dashboards for Occupancy, ADR, RevPAR for all 200+ properties.

Scheduling using Cron different Python scripts to automate data flow from Japan’s and OYO Global (Asia, Europe and USA) Databases (AWS RDS/Presto) to Google Sheets.

Created an automated process to collect and process monthly data for 200+ hotel using Python (Pandas) and Google App Scripts.

Conducted studies yearly/Monthly on KPIs for 200+ Hotel (OCC, RevPAR, ADR and Performance on 4 OTA channels).

Using Python (Beautifulsoup, requests) created a web-scraper to collect 200+ Hotel performance on 30 indicators.

Conducting Weekly/Monthly forecast analysis for Hotels’ occupancy using R and Python (AR).

Handling pricing issues and requests from ground team. Data Analyst - Human Resources June 2019 – Sep 2020

Rebuild and automate HR Database of 650+ employees to reduce human induced errors.

Using Google Data Studio Created dashboards for different metrics for HR (salaries, overtime, personnel count).

Using Microsoft Visio created Organisation Chart for the 19 Company’s departments.

Automated different HR and IT regular communication to all 650+ employees using Google Web Apps.

Using Google App Scripts created an automated process to collect and calculate different leasing costs of 1000+ device.

Compiled a monthly/regional Personnel cost and conduct analysis to identify key areas of potential cost reduction such as overtime.

Created a Google Web App (HTML, Javascript) to give access to more than 1000 HR related documents. RCI (Groupe Renault) Lyon, France

Product Manager Sep 2017 – Sep 2018

Using Excel consolidated Data provided by (EurotaxGlass's, DAT, CAP) of Residual Value of Renault’s Brands in the European Market.

Used VBA to automate repetitive tasks as well as combine data from different spreadsheets into one.

Researched fleet clients’ loyalty criteria such as the Brand image, Total Cost of Ownership (TCO).

Prepared dashboards and reports in PowerPoint on pricing and the evolution of Nissan-Renault Alliance residual value.

Worked on forecasting vehicle performance.

Groupe Renault (France) Lyon, France

Marketing Research Analyst Feb 2017 – Jul 2017

Realised analysis and reports on the evolution of second-hand vehicles (Category B) in Europe.

Conducted analysis on Data relating to show residual value of cars (Category B).

Collaborated on studies on market trends, and benchmarking. Volkswagen Algérie (Algeria) Algiers, Algeria

Automotive Marketing Associate Jul 2013 – Aug2016

Built Excel Spreadsheet for monthly sales figures, used later on PowerPoint to report these figures for HQ

Used sales data to identify customers' trends in car models and equipment.

Used Government issued statistics to follow the car market trends and evolution to help direct sales strategy. CIEPA (Bakery Equipment) (Algeria) Salesperson Jul 2012 – Jun 2013 Education Background

Master’s Degree in Strategic Marketing– Université Jean Moulin Lyon 3 Sep 2016 – Sep 2018

Master’s Degree in Sales and Marketing– University of Algiers. Sep 2010 – Jun 2012

Course in Financial Markets (Portfolio and Risk Management) Universal School. Sep 2011 – Sep 2012

Bachelor’s Degree in Economics and Management–University of Algiers. Sep 2007 – Jun 2010 Technical Proficiency

Google Doc, Drive.

Dashboarding Google Data Studio.

Microsoft Excel/ Google Sheets (vlookup, sumifs, countifs…), VBA,Google App Script.

Python/SQL/Web Scraping.

Languages

English: Fluent (TOEIC 970 2019).

French: Bilingual.

Arabic: Bilingual.

Japanese: Basic in progress (Hiragana, Katakana, Basic Grammar).



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