Performance and Data Manager

hace 6 días


Mallorca Illes Balears provincia, España Hotelbeds A tiempo completo

Hotelbeds is the world´s leading bedbank.

The company’s proprietary technology helps providers of travel services distribute their offering to travel sellers globally via an easy-to-use, advanced technology platform that increases reach, revenue and yield for both the provider and the seller.

Operating under the Hotelbeds brand in the wholesale channel and the Bedsonline brand in the travel agents channel, the company connects over 60,000 travel intermediaries across more than 140 source markets globally with travel providers in over 185 countries representing more than 170,000 hotels, 24,000 transfer routes and 18,000 activities.

The company is headquartered in Palma de Mallorca, Spain.

JOB DESCRIPTION:
We are looking for a Performance & Data Manager to join our Digital Commercialization Team in Palma de Mallorca. The main purpose of the role is to build advanced performance analytics, data-driven solutions, and algorithms across all the customer journeys.

Main responsibilities:

- Control and analyze data from company databases to drive optimization and improvement of marketing techniques and business strategies.
- Develop Advanced methods of analytics including Data science and machine learning techniques to better understand and predict partner behaviors.
- Research and develop new algorithms to optimize and automate the way we target our partners and improve their performance.
- Digitizing and connecting the different touchpoints to create a 360º partner journey analytics and tracking framework.
- Identify and implement marketing tools, dashboards, visualizations, and technology requirements to develop digital analytics capability.
- Merge, manage, interrogate, and extract data to supply tailored reports to stakeholders.
- Cooperation with Customer Experience and Automation team on a regular basis.
- To ensure automated and personalized product campaigns have the right product decisions based on data.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer journey, and other key business performance metrics.
- Ability collecting data from all kinds of different sources, from web APIs to internal databases encoded in database querying language like SQL and analysis tools.
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience building and optimizing ‘big data’ data pipelines, architectures, and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets
- Knowledge of statistical language (Python, SAS, R) and experience in using a variety of analytical methods (e.g., classification/regression, collaborative filtering, cluster analysis).
- Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.)
- Good communication skills, to explain complex topics to people, who don't understand the data analysis technicalities.
- Works well under pressure to fulfil challenging objectives and needs.

You will have the opportunity to work for a company that is going through significant change in becoming the world´s leading travel services provider. We are looking for people that are ready to ride the wave in this exciting journey.

As well as an attractive benefits package you will be able to work:

- Within an innovative, engaging and multicultural environment.
- Have the opportunity to build strong and lasting business relationships and friendships from around the world.
- Have the opportunity in developing your career locally or within one of our beautiful working locations across the globe.



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