Software & Data Engineer

1 week ago

مصر, Egypt Orange Full time

**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

**about you**:
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 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

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

**additional information**:
mission / role purpose

Data Engineer 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.

Data Engineer 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.

Data Engineers 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.

Data Engineer 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

**contract**:
Regular

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