Head of Revenue Management Growth & Optimization page is loaded
Head of Revenue Management Growth & Optimization
Ansøg locations Corporate Offices - Federico Mompou, Calle Federico Mompou, 5, 28050 Madrid, Madrid, Spain time type Full time posted on Slået op for 15 dage siden job requisition id JR104132
Parques Reunidos is one of the leading, fastest-growing leisure park operators in the world. With 50 years’ experience, it owns and operates more than 60 parks across Europe, North America, the Middle East and Australia.
We are currently looking for a:
Head of Revenue Management Growth & Optimization
Roles & Responsibilities:
Roles & Responsibilities
* Leading the Data and Business Transformation: Oversee the transformation of the RM ecosystem by providing valuable insights derived from data analysis.
* Algorithm Development and Prototyping: Develop and prototype algorithms for analyzing company data, thereby aiding in decision-making processes.
* Data Modeling and Visualization: Create data models and visualizations to represent complex business scenarios and data-driven insights.
* Business Implementation of New Technology: Lead the implementation of new models AI/ML tools within the business to enhance data analysis capabilities.
* Revenue Optimization: Work towards AI/ML optimizing revenue through strategic pricing decisions and volume control. This includes improving pricing strategies, promotions, and optimizing maximum total revenue.
* Cross-Functional Collaboration: Collaborate with diverse teams and departments to understand business performance through insights and analytics across the company.
* Work from scratch with unstructured raw data and efficiently develop a structured utilization of the processed data
* Other tasks include: providing support for urgent analytic needs, collecting data and identifying the source of the data's inception. Mining and extracting valuable data from various data sources
* The ideal candidate is highly analytical with a strong background in math and statistics. They should possess excellent critical thinking and problem-solving skills, which are essential for explaining, adapting, and anticipating business patterns and opportunities.
* Experience in using data mining/analysis methods and tools is a must, along with a proven ability to drive business results with data-based insights. The candidate should be comfortable with data storytelling, presenting, influencing, and defending insights in English.
Requirements
Education:
* Degree in computer science, computer engineering, Business Information Systems, Mathematics, Statistics, Information Management, or equivalent experience with Data Science.
Languages:
* Spanish: Fluent (B2 minimum, C1 preferred)
* English: Fluent (B2 minimum, C1 preferred)
Computer Skills:
* Need to have experience developing software applications and a good knowledge of scripting languages for gathering and treat the data, for analyse and for visualization. Such as SQL, Python, R and Power BI
Experience:
* Minimum of 7 years of professional experience and min 3 yrs. in related position required.
* Experience with Alteryx and Databricks
* Exceptional analytical and conceptual thinking skills.
* Knowledge of data treatment, analysis and visualization tools.
* Experience creating detailed reports and giving presentations.
* Competency in Microsoft applications including Word, Excel, and Outlook.
* A track record of following through on commitments.
Others:
* Experience to develop and to implement machine learning process will be considered as a plus.
* Experience on Agile, Scrum, Kanban.
* Highly organized and able to multi-task and prioritize effectively.
* Excellent verbal, written, listening, and interpersonal skills.
* Knowledge of programming languages.
* Effective Communication: Carefully listening to management, data analysts and relevant staff to come up with the best data design; explaining complex concepts to non-technical colleagues.
* Good experience with, or a good understanding of, Data Analysis best practices
Do not miss the chance to spark your career now!
#J-18808-Ljbffr