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Analytical Developer
Eingestellt von CPL Solutions
Gesuchte Skills: Sales, Design, Marketing
Projektbeschreibung
Leading Global technology organisation has a requirement for Analytical Developers for a long term contract role based in Galway, Ireland.
With strong knowledge of advanced analytics, data mining and statistical techniques, you will design and develop enterprise analytic solutions which are focused on improving specific business processes with the organisation. You 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.
- Integrate advanced analytics into end-to-end Business Intelligence solutions and operational business processes.
QUALIFICATIONS
- 5 years experience in analytic application/solution development.
- Strong business focus. Must excel at connecting business requirements to data mining objectives and to measurable business benefit.
- 5 years use of SAS Enterprise Miner or SPSS Clementine for data mining and statistical analysis
- >5 years of data mining experience in at least one of the following domains
- Marketing Analytics & Customer Intelligence
- Sales Analysis & Forecasting
- Supply Chain/Product Development
- Finance, Human Resources
- Business Process Optimization
- Expert use of data mining methodologies such as classical regression, logistic regression, CHAID, CART, neural nets, association rules, sequence analysis, cluster analysis, and text mining.
- Expert use of SQL and experience with relational databases
For immediate consideration for this role, please submit your CV in confidence.
With strong knowledge of advanced analytics, data mining and statistical techniques, you will design and develop enterprise analytic solutions which are focused on improving specific business processes with the organisation. You 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.
- Integrate advanced analytics into end-to-end Business Intelligence solutions and operational business processes.
QUALIFICATIONS
- 5 years experience in analytic application/solution development.
- Strong business focus. Must excel at connecting business requirements to data mining objectives and to measurable business benefit.
- 5 years use of SAS Enterprise Miner or SPSS Clementine for data mining and statistical analysis
- >5 years of data mining experience in at least one of the following domains
- Marketing Analytics & Customer Intelligence
- Sales Analysis & Forecasting
- Supply Chain/Product Development
- Finance, Human Resources
- Business Process Optimization
- Expert use of data mining methodologies such as classical regression, logistic regression, CHAID, CART, neural nets, association rules, sequence analysis, cluster analysis, and text mining.
- Expert use of SQL and experience with relational databases
For immediate consideration for this role, please submit your CV in confidence.
Projektdetails
Geforderte Qualifikationen
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Kategorie:
Marketing/Vertrieb, Medien/Design