ACCOR PROCUREMENT - Business Data Analyst - English

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Paris, Île-de-France, FRA
In-Office
Hospitality
The Role

Company Description

Leading the hospitality revolution, Accor is more than a hotel group. With luxury to economy, homestays to resorts, we are a holistic ecosystem of 40 brands in 110 countries, Talent and Solutions, ready to engage with the future’s endless possibilities. Accor has an offer to bring new life to the way you live, work, play and do business with a personalized guest experience.

Astore is Accor’s Procurement Organization, that is revolutionizing the hospitality sector by offering all the products and services necessary to ensure the proper functioning of all hospitality businesses. With a team of 200 experts serving 5000 customers in 20 countries, Astore is able to negotiate some of the best prices and conditions on the market. With more than 7500 clients worldwide and about 2000 external partners, our ambition is to become the first choice for procurement solution for the hospitality sector.

Astore Digital Factory leads all our Digital activities within the Procurement function. Its main responsibility is to develop the business thanks to best-in-class digital tools maximizing the impact (Revenue, EBITDA) of our Procurement business teams in the Paris HQ and in the different worldwide regions. The digital platforms are covering all Procurement business processes: (i) Hospitality supply chain at site (e-ordering through marketplace, Supplier directory, Pre-opening project management, Inventory & recipe management, Invoice to pay, Data, Customer Analytics & Procurement news) and (ii) Internal Procurement operations (Source to contract, CRM, Marketing & Sales automation, Ticketing, Customer Website, Full order to pay Revenue / Back end rebate Management, CSR, Finance process & Business performance analytics).

The Hotel Tools Product team is in charge of all tools at hotel level (e-ordering, inventory & recipe management, invoice to pay), out of which some are “custom” and others “SaaS” (Mirakl, Tradeshift, FutureLog).

Job Description

The Business Data Analyst (BDA) is the interface between the Data tech delivery team and business teams. The BDA is in charge of understanding the demands of Procurement department and carefully designing and planning a solution. The BDA is a data-driven professional. He uses data analysis to understand, interpret, and predict business. He thens use those data-driven insights to frame solution in order to help data tech team in the delivery. The BDA aims to identify opportunities to grow, optimize, and improve an organization’s business processes. 

Main activities :

  • Has experience in Data-driven Business Analysis on simple and complex problems
  • In charge of prioritization of business requirements according to the objectives requested
  • Collaborates with the users or business experts to define what it is expected
  • Analyses business requirements
  • Is in charge of the design of the data solution
  • Guide data tech delivery team in the implementation of the design solution 
  • Lies at the intersection of Data Analysis and Business Analysis    
  • Creates and modifies computer programs to extract information from company databases
  • Interacts with data engineer and data scientists to understand how data needs to be converted, loaded and presented
  • Interprets key business data sets
  • Provides insights on potential areas of growth, optimization, and improvements
  • Works cross-department on data-driven strategies that improve business processes and decision-making
  • Is responsible of writing or providing US stories or/and Business Rules.

Qualifications

Skills & profile :

  • BS/BA Degree (MS preferred) preferably in Computer Science, Statistics, Math or equivalent combination of education and experience.)
  • 1-5 years of experience with data analysis and preparation, including experience with very large data sets
  • Experience working with unstructured data sets is a plus
  • Mathematical skills to help collect, measure, organize and analyze data
  • Knowledge of programming languages like SQL, R, Python
  • Technical proficiency regarding database design development, data models
  • Knowledge of data visualization
  • Knowledge of how to create and apply the most accurate algorithms to datasets in order to find solutions 
  • Knowledge of the project management process.
  • Experience in Agile Development

 

Additional Information

What benefits can Accor offer its employees?

A real Work life balance

  • Remote work  / autnomous framework 

Attractive Finance benefits

  • Profit sharing bonus "interessement participation" compulsory and voluntary plans / 700 € per year Allowance Green transportation such as electrical bike, scooter / Pass Navigo subsidised max 75% / Referral bonus / meal ticket /  free coffee 

Learning & development

  • Management talent at the earth our of HR Accor strategy.
  • We want you to feel free to dare and free to grow, by opening new doors to continuous learning and skills development. Challenge yourself and switch between jobs, brands, and career paths

 

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The Company
HQ: Paris
77,633 Employees

What We Do

We are Accor We are more than 290,000 hospitality experts placing people at the heart of what we do, creating emotion for our guests, and nurturing passion for service and achievement beyond limits. Building on the strength of our teams and of our fully integrated ecosystem of leading brands, personalized services & expert solutions, we break new ground to reimagine hospitality and inspire new ways to experience the world. We are dedicated to suit all desires and needs, and reinvent the guest experience every day with our 45 hotel brands across all segments- 5,600 properties around the world from luxury five-star palaces to smart economy hotels, exquisite residences to full-service resorts. Because we take care of millions of guests and each of our hotels is a world in itself, where every action counts. We strive to make positive impact both locally and globally, to ensure hospitality benefits not only the few, but all.

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