Carlson Wagonlit Travel (Hauptsitz Deutschland) / CWT Beheermaatschappij B.V. De

Job Description - Technical Data Analyst (180002L7) The Global Supplier Management team at Carlson Wagonlit Travel works on revenue management challenges with various air, hotel, car and rail suppliers. The goal of the team is to optimize and leverage opportunities to grow supplier business (market share). The GSM team's business objectives are aligned with those of our suppliers in order to achieve a successful and profitable future for us and our clients. Your role as a Technical Data Analyst will require understanding the underlying data, metrics, and models to allow GSM to be as effective in achieving our objectives as possible. Responsibilities Assist with transformation projects that aid the development of a best in class revenue management capability. Interpreting data, analyzing results in complex data sets using statistical techniques Developing and implementing data analyses, data collection systems and other strategies that optimize statistical efficiency and quality Supporting the development of predictive market share models and future data science projects Understanding, demonstrating, and communicating the impact of data analysis and results on business impacts and business drivers. Qualifications Required Qualifications: Bachelor's or higher in data science, mathematics, statistics, computer science, or analytics related degree. Passionate about problem solving and solving data puzzles Capable of working both independently and collaboratively Able to investigate research and diagnose problems and potential solutions Preferred Qualifications: Experience with SQL based technologies and working with databases Ability to interpret, assess, and analyze data for trends, anomalies, and oddities Ability to communicate effectively with non-technical individuals Familiarity with Descriptive Statistics Could Haves Understanding of Airline Industry Understanding of data science and data analytics concepts Good grasp of how to use data and visualizations to tell stories Familiarity with good programming practices Demonstrated ability to execute In depth understanding of machine learning algorithms and underlying statistical methods that govern them *LI-AF *FB-AF Primary Location Employment type Employment type: Standard Job Family Scope : Country Travel Travel: Yes, 5 % of the Time Shift Shift: Day Job Organization Experience Level : 1 to 3 years Job Posting Job Posting: May 31, 2018 As an Equal Opportunity Employer/Affirmative Action employer, the organization will not discriminate in its employment practices due to an applicant’s race, color, religion, sex, national origin, veteran status, disability status, sexual orientation, gender identity or any other federal, state or local protected class. Use of this website signifies your agreement to the Terms of Use. CWT also offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please fill out our contact form. In your message please include a description of the specific accommodation you are requesting and a description of the position for which you are applying. contact us #J-18808-Ljbffr