Large Telecommunications company in Umhlanga is looking for a Data Analyst:
Working within a team environment the primary focus of this role will be analyse, forecast and optimise data performance. In addition, this role will be required to assist data team members with the management of internal and external movement of data, as well as to provide technical support to peers and stakeholders.

NB:
1. Stats or related degree – will require academic transcripts
2. Experience working on stats software packages such SAS, R, Stastica or SPSS
3. If the candidate is not a current university graduate, then you should have specific experience in data analysis, mining and modelling

Data analytics (50%)
• Analyse past consumer behaviour, client and credit data to predict future sales and billing outcomes
• Providing a technical solution so users can understand the data available for each campaign at any time
• Defining and advising datasets for various sales campaigns
• Maintain internal client scorecards
• Ad-hoc projects and investigations e.g. working with external consultants to improve data quality

Lead data management (30%)
• Ensure accuracy and data integrity of lead data
• Maintain the centralised data structure for the optimal management of the lead database ensuring constant enrichment of the data set by appending data from dialling outcomes, contactability, approval rates, credit information and customer Information
• Management of large data sources including dialler , sales, logistics , billing , credit and customer scoring databases
• Ensure the meeting of the call centre objectives around the provision of quality data sets for the Sales Campaigns
• Monitoring the ongoing quantity and quality of data for sales campaigns
• Ensure compliance for campaigns dialling rule

Reporting (30%)
• Maintain internal reporting platform encompassing all relevant data sources


CANDIDATE REQUIREMENTS
Qualification:
1. Statistics related degree is a pre-requisite
2. IT-related modules as part of tertiary studies would be an advantage

EXPERIENCE:
• Experience and high level of expertise in the following is required:
• Data analysis, mining and modelling
• Microsoft Excel
• Statistical software packages such as R, SAS or Statistica

Experience of the following would be very useful:
• MS SQL Server
• SQL Server Analysis Services
• SQL Server Integrated Services
• SQL Server Reporting Services
• MS Powerpivot