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SAS/SRSS Consultant/Developer
Eingestellt von CPL Solutions
Gesuchte Skills: Design, Consultant
Projektbeschreibung
ANALYTICAL ARCHITECT - IRELAND - DAILY RATE CONTRACT - INTERNATIONAL SOFTWARE HOUSE
ROLE DESCRIPTION;
The Analytic Architect will apply their knowledge of advanced analytics, data mining and statistical techniques to design and develop enterprise analytic solutions which are focused on improving specific business processes with my Client.
The Analytic Solution Architect will define best practices in the use of advanced analytics and therefore must possess the ability to understand and document business processes and influence process improvement.
RESPONSIBILITIES
- Recommend ANALYTIC STRATEGIES to meet the demands of business requirements.
- Define the business processes changes required to implement advanced analytics solutions
- Define the technical requirements of the analytic solutions.
- Define the data requirements of the analytic solution.
- Ability to conduct sophisticated DATA MINING analyses and build data mining models, as required, as part of the initial solution development process.
- Translate data mining results into clear business focused deliverables for decision makers
- Work with Application Developers to deploy DATA MINING MODELS into operational systems
- Define/identify and recommend best practices for applying data mining to problem domain.
- Design and/or contribute to the development of a data mining systems that enable reuse, efficiency, manageability and deployment.
DESIRED SKILLS & EXPERIENCE
- 5 years experience in ANALYTIC APPLICATION/SOLUTION DEVELOPMENT. The implementation of repeatable analytic solutions which encompass all phases of the software development cycle. Beyond model development.
- Strong business focus. Must be proficient at connecting business requirements to data mining objectives and to measurable business benefit.
- Experience using SAS ENTERPRISE MINER OR SPSS CLEMENTINE FOR DATA MINING and statistical analysis
- 5 years of DATA MINING experience
- Use of data mining methodologies such as classical regression, logistic regression, CHAID, CART, neural nets, association rules, sequence analysis, cluster analysis, and text mining.
- Use of SQL and experience with relational databases
- Ability to manage multiple projects efficiently and able to meet deadlines
If interested in this, don't hesitate to contact us in strictest confidence.
ROLE DESCRIPTION;
The Analytic Architect will apply their knowledge of advanced analytics, data mining and statistical techniques to design and develop enterprise analytic solutions which are focused on improving specific business processes with my Client.
The Analytic Solution Architect will define best practices in the use of advanced analytics and therefore must possess the ability to understand and document business processes and influence process improvement.
RESPONSIBILITIES
- Recommend ANALYTIC STRATEGIES to meet the demands of business requirements.
- Define the business processes changes required to implement advanced analytics solutions
- Define the technical requirements of the analytic solutions.
- Define the data requirements of the analytic solution.
- Ability to conduct sophisticated DATA MINING analyses and build data mining models, as required, as part of the initial solution development process.
- Translate data mining results into clear business focused deliverables for decision makers
- Work with Application Developers to deploy DATA MINING MODELS into operational systems
- Define/identify and recommend best practices for applying data mining to problem domain.
- Design and/or contribute to the development of a data mining systems that enable reuse, efficiency, manageability and deployment.
DESIRED SKILLS & EXPERIENCE
- 5 years experience in ANALYTIC APPLICATION/SOLUTION DEVELOPMENT. The implementation of repeatable analytic solutions which encompass all phases of the software development cycle. Beyond model development.
- Strong business focus. Must be proficient at connecting business requirements to data mining objectives and to measurable business benefit.
- Experience using SAS ENTERPRISE MINER OR SPSS CLEMENTINE FOR DATA MINING and statistical analysis
- 5 years of DATA MINING experience
- Use of data mining methodologies such as classical regression, logistic regression, CHAID, CART, neural nets, association rules, sequence analysis, cluster analysis, and text mining.
- Use of SQL and experience with relational databases
- Ability to manage multiple projects efficiently and able to meet deadlines
If interested in this, don't hesitate to contact us in strictest confidence.
Projektdetails
Geforderte Qualifikationen
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Kategorie:
Medien/Design, Organisation/Management