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| POSITION DESCRIPTION | BANKING & FINANCE INDUSTRIES OCTOBER 2008 |
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Database Analyst |
| Position Code: | 2430 | | Career Level: | 3 |
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Responsible for
Providing detailed analysis and insights into customer behaviour by way of data mining, segmentation and modelling. With a strong blend of technical and business skills this role requires a firm understanding of relational databases and the ability to convert analytical findings into meaningful and actionable insights for a variety of audiences. |
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Reports To
Manager, Database Analysis or Campaign Delivery Manager. |
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Supervises
No supervisory responsibilities. |
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Main Activities
Providing information or data from internal sources to customers and management to support marketing decisions and projects.
Identifying, preparing, analysing and presenting data using computerised technology.
Analysing information using statistical/data analysis techniques, and developing models (for example, predictive, segmentation, profiling etc) that support the marketing group's requirements.
Generating customer lists from data within the Integrated Data Warehouse, either directly by SQL code or via the Campaign Engine, in support of Consumer Marketing Campaigns.
Providing guidance and support to the business in determining and recommending information needs.
Educating customers on what data is available in the IDW and how they can use it.
Providing feedback to Database/DataWarehousing Specialists to improve systems and facilitate the ongoing generation of specific reports required by the business.
Building 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.
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Key Skills
Ability to access data stored in warehouses and interrogate it efficiently.
Advanced data analysis skills and knowledge of SQL programming.
Ability to handle large and complex data sets using different applications as appropriate.
Developing and maintaining subject matter expertise across a large product set.
Ability to communicate effectively with a wide range of stakeholders and articulate technical issues in business language to non technical audiences.
Ability to work in a fast paced environment and manage a number of projects simultaneously and to tight deadlines.
Awareness of industry trends.
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Internal Contacts
Database/datawarehousing specialists and support, business users. |
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| External Contacts |
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Typical Experience
Around 2-3 years experience in converting analytical findings into insights for a variety of audiences. 2-3 years experience in the utilisation of data mining tools (SPSS, SAS etc) to create solutions that support business requirements. |
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