The candidate will provide advanced analytics implementation services independently or jointly with other departments to current and prospective customers. He/She will develop analytical models, machine learning where needed, using knowledge of analytical methods and related procedures and software products.
Responsibilities
- to provide predictive modeling services that contain analytical and statistical methods (Cross/Up sell models, Customer segmentation, Churn, Social Network Analysis, Text Mining and Sentiment Analysis etc.)
- to provide data management programming services, data profiling and data quality for preparing data in the right structure and format, for further analysis
- to provide reporting programming services for preparing static and dynamic reports and dashboards with data analytics
- to provide input to project team so as to define scope and work effort for assigned tasks
- to be able to lead analytics projects and guide the implementation team
- to conduct workshop sessions for requirement analysis and system design
- to review and edit documentation for consulting implementation projects
- to perform training and knowledge transfer sessions to customers regarding analytics software technology
- to contact on-site consulting clients and meet with prospective clients
- to provide reliable delivery of targeted project results in the application of specific methodologies, products and technologies
- to contribute to service delivery effectiveness through the consistent application of Best Practices as specified by project plans
Qualifications
- Undergraduate studies (University Degree) with solid understanding of business analytics and statistics
- Master’s Degree in Statistics or Applied Mathematics is considered as a plus
- 4-5 years of professional experience in predictive modeling (e.g. cross/up sell models, churn, customer segmentation, credit scoring)
- Experience in data manipulation and statistical analysis using the SAS system or a comparable analytical tool (e.g. SPSS)
- Knowledge of / capacity and willingness to learn Data Warehousing and Business Intelligence concepts, including : star schemas, snowflakes, ETL processes, dimensional modeling and reporting tools
- Good understanding of SQL and knowledge of relational principles
- Ability to communicate with people of various technical backgrounds, think analytically, write and edit technical material, and relate statistical concepts and applications to statistical and non-statistical users
- Team as well as individual working spirit
- Excellent written, verbal and interpersonal communication skills
- Fluency in English and computer literacy
- Flexibility to travel as per business requirements
The selected candidate will follow a significant training path in order to build skills in Data Management (e.g. Extraction Transformation Loading), in Data Quality, in Business Intelligence Reporting, in Coding, in Advanced Analytics including Statistical Analysis Technology like Social Network Analysis, Text Mining and other.
Εταιρεία: Analytical View
Επικοινωνία: Send your CV to [email protected]