Job description / Role
About the role
Key Result / Decision Areas (Outcomes)
• Work closely with your business to identify issues and use data to propose solutions for effective decision making and drive business insights
• Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies
• Maintain clear and coherent communication, both verbal and written, to understand data needs and report results
• Use machine learning tools and statistical techniques to produce solutions to problems
• Assess the effectiveness and accuracy of new data sources and data gathering techniques
• Use predictive modelling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes
• Develop custom data models and algorithms to apply to data sets
• Develop processes and tools to monitor and analyse model performance and data accuracy
• Present information using data visualization techniques
• Horizon scan to stay up to date with latest technology, techniques and methods
• Conduct research from which you'll develop prototypes and proof of concepts
• Look for opportunities to use insights/datasets/code/models across other functions in the organisation
• Stay curious and enthusiastic about using algorithms to solve problems and enthuse others to see the benefit of your work
Requirements
About you
Knowledge and Abilities
• Understanding of Orange Business products, processes & tools and the associated organizations
• Organisation, coordination, communication, presentation, synthesis and reporting skills
• Open mind set, willing to discover new areas in a complex environment
• Client focused with strong interpersonal skills
• Team player, used to work with different cultures and to work in a virtual matrix team environment.
• Ability to innovate and find improved ways of doing things
• Experience with process developments and optimization
• Strong industrialization spirit
• Good understanding of the telecoms and IT industries.
• Integrating project work with Knowledge Management concepts and principles
• Ability to work under pressure
• Business and financial orientation
• Excellent knowledge of written and spoken English language where French is a plus
• Expert in MS office suite
• Having strong quantitative skills is a good base, but an interest in data and being able to solve problems logically and methodically are often bigger factors
• Exceptional communication skills, in order to explain your work to people who don't understand the mechanics behind data analysis great attention to detail and the ability to problem solve
• Experience in (or a willingness to get to grips with) database interrogation and analysis tools, such as Hadoop, SQL and SAS
• Strong problem-solving skills with an emphasis on product development
• Experience using statistical computer languages to manipulate data and draw insights from large data sets
• Experience working with and creating data models
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, etc.) and their real-world advantages/drawbacks
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications education, qualifications, and certifications
• Bachelor's degree or higher in statistics, math, computer science and economics (or another relevant area), or equivalent relevant experience with a demonstrable commitment to self-development
• ITIL v3 foundation certification
• Financial background is a plus
• Optionnel: CMM/CMMI, PMP or PgMP or Prince2 or MSP (or internal PM certifications), Six Sigma certifications
Experience
• Minimum of 10 years of customer-facing experience in the telecom or IT industry
• Experience in working in an international environment with geographically distributed teams.
• Experience in developing, documenting and optimizing processes
• Experience in communicating and reporting to senior management
Department
International Zone
Orange Business manages and integrates the complexity of international communications, freeing our customers to focus on the strategic initiatives that drive their business. Our extensive experience and knowledge in global communication solutions, together with our understanding of multinational business and local support in 166 countries and territories, ensure that our customers receive a consistent, global solution wherever they do business.
About the Company
Orange is one of the world’s leading telecommunications operators with sales of 43.5 billion euros in 2022 and 136,000 employees worldwide at 31 December 2022, including 75,000 employees in France. The Group has a total customer base of 287 million customers worldwide at 31 December 2022, including 242 million mobile customers and 24 million fixed broadband customers. The Group is present in 26 countries. Orange is also a leading provider of global IT and telecommunication services to multinational companies under the brand Orange Business.