|
| POSITION DESCRIPTION | AUSTRALIAN GENERAL INDUSTRY NOVEMBER 2008 |
 | | Position Title: |
Datamining Innovations Analyst |
| Position Code: | 2710 | | Career Level: | 4 |
|
|
Responsible for
Providing detailed analysis and insights into customer behaviour by way of data mining, segmentation and modelling and developing predictive models to assist customer acquisition and management. With a strong blend of technical and business skills this role has a firm understanding of relational databases and has the ability to convert analytical findings into meaningful and actionable insights for a variety of audiences. |
| |
Reports To
Manager, Database Analysis. |
| |
Supervises
No supervisory responsibilities. |
| |
Main Activities
Analysing information using computerised statistical/data analysis techniques and developing sophisticated models (for example, predictive, segmentation, profiling etc.) that support the marketing group's requirements.
Identifying, preparing, analysing and presenting data using computerised technology.
Effectively interpreting and providing analytical solutions to the business owner.
Scoring of the customer base to support segmentation.
Providing guidance and support to the business in determining and recommending information needs.
Providing feedback to Database/DataWarehousing Specialists to improve systems and facilitate the ongoing generation of specific reports required by the business.
Proven expertise in the use of data mining tools (for example SPSS/Clementine, SAS/Enterprise Miner).
Developing and maintaining strong working relationships with marketing, commercial and IT.
Ensuring ongoing data integrity, reporting any data inconsistencies appropriately.
|
| |
Key Skills
Ability to communicate effectively with a wide range of stakeholders and articulate technical issues in business language to non technical audiences.
Expert data analysis, knowledge of SQL programming and modelling skills.
Proficiency in understanding data mining system applications.
Presentation skills.
Ability to handle large and complex data sets using different applications as appropriate.
Ability to work in a fast paced environment and manage a number of projects simultaneously and to tight deadlines.
Awareness of industry trends.
|
| |
Internal Contacts
Database/datawarehousing specialists and support, business users. |
| |
External Contacts
Typically none. |
| |
Typical Experience
Around 6-8 years experience in converting analytical findings into insights for a variety of audiences. 5 years experience in the utilisation of data mining tools (SPSS, SAS etc.) to create solutions that support business requirements as well as proficiency in presenting outcomes to business and marketing managers. Previous experience with high volume data loading, extraction, manipulation, management and reporting. |
| |
| |
| |
