Reporting, Data & Automation Analyst – Finance Transformation CDD - F/M/NB
Job Summary:
Job Requirements
Within the Finance department, the Finance Transformation team supports the transformation efforts of the BSF (Business, Strategy & Finance) division. Our mission: to identify, design, and implement innovative tools and processes to improve operational efficiency, data quality, and decision-making.
We provide concrete solutions through data visualization, digitalization, automation, and optimization of internal processes.
Your main responsibilities :
• Analyze business needs, identify processes to be transformed, and propose pragmatic and quickly deployable solutions.
• Design, develop, and maintain Power Platform solutions: Power Apps, Power Automate, and SharePoint.
• Create and enhance dashboards using Power BI; knowledge of Tableau is a plus.
• Prepare, transform, and structure data required for reporting and automation solutions, notably with Power Query.
• Participate in advanced automation projects and, as needed, in POCs involving Python, Machine Learning, or RPA tools.
• Contribute to the development or improvement of chatbots and internal agents.
• Document solutions, organize their maintenance, and support business teams in their use.
• Collaborate with Finance, IT, and business teams, adapting communication to the technical level of the interlocutors.
• Conduct monitoring and benchmarking of data visualization, RPA, AI/ML, and low-code automation tools.
Work Experience
Education: Master’s degree (Bac +5) in data, business intelligence, computer science, engineering, quantitative finance, or a related field. Experience: 3 to 4 years of experience in Reporting, Data, BI, automation, or digital transformation roles, with concrete solutions developed and deployed for end users.
Technical Skills
• Good communication skills in French (C1) and English (C1)
• Proficiency in Power Apps, Power Automate, SharePoint, and Power BI.
• Ability to develop, enhance, and maintain end-to-end solutions.
• Strong skills in data preparation and transformation, especially with Power Query.
Preferred
• Practical experience with Python applied to data and/or Machine Learning.
• Experience with UiPath and a good understanding of RPA principles.
• Experience with Copilot Studio and designing chatbots or internal agents.
Benefits
The Disneyland Paris Difference?
Contribute to supporting and transforming a wide variety of roles that you will rarely find elsewhere.
Participate in our company’s vision for human resources and its transformation.
Have the opportunity to work for an extraordinary brand, its franchises, and its values.
Disneyland Paris is committed to providing its Cast Members with the most favorable working conditions for their professional fulfillment. In this context, and to ensure optimal flexibility, positions that do not require on-site intervention or access to facilities or applications and/or physical interactions can be performed remotely in accordance with the agreements in force within the company.
Disclaimer
This position is with Euro Disney Associes SAS, which is part of a business we call Disneyland Paris.
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About The Walt Disney Company:
The Walt Disney Company, together with its subsidiaries and affiliates, is a leading diversified international family entertainment and media enterprise that includes three core business segments: Disney Entertainment, ESPN, and Disney Experiences. From humble beginnings as a cartoon studio in the 1920s to its preeminent name in the entertainment industry today, Disney proudly continues its legacy of creating world-class stories and experiences for every member of the family. Disney’s stories, characters and experiences reach consumers and guests from every corner of the globe. With operations in more than 40 countries, our employees and cast members work together to create entertainment experiences that are both universally and locally cherished.
Hiring Process
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Explore this Location EMEA
Disney EMEA aims to drive growth, innovation and brand affinity across an extremely diverse collection of countries with a team of over 6,000 employees operating in 59 markets with offices in 29 countries.
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