Descrição
votre rôle:
**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 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
votre profil:
knowledge and abilities
Understanding of Orange Business products, processes & tools and the associated organizations
Organisation, co-ordination, 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 + French is 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 (R, Python, SLQ, etc.) to manipulate data and draw insights from large data sets
Experience working with and creating data architectures
Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks
education, qualifications, and certifications
Masters degree or higher in statistics, math, computer science and economics (or other relevant area), or equivalent relevant experience with a demonstrable commitment to self-development
ITIL v3 foundation and SAFe® Agilist Certifications needed
Financial background is a plus
Optionnel: CMM/CMMI, PMP or PgMP or Prince2 or MSP (or internal PM certifications), Six Sigma certifications
Experience
10 - 15 years of customer facing experience in the telecom or IT industry
Experience in working in and international environment with geographically distributed teams.
Experience at developing, documenting and optimizing processes
Experience at communicating and reporting to senior management
le plus de l'offre:
mission / role purpose
This is a senior profile to support company vision with insights gained from analyzing company data. He/she will be using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.
He/She must have strong experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations.
He/She should be able to drive business results with their data-based insights working with a wide range of stakeholders and functional teams discovering solutions hidden in large data sets to improve business results.
He/She will use their strong business sense along with an ability to communicate findings to both business and IT leaders in a way that can influence how an organization approaches a business challenge
contrat:
CDI