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Zimbabwe Job 2016: Data Mining Specialist at Econet Wireless



Category: 2016 jobs, Vacancies in Zimbabwe
Posted: Oct 17, 2016

Employment as Data Mining Specialist at Econet Wireless

Organisation: Econet Wireless (EWPL)

Job Title: Data Mining Specialist

Close Date: 20-10-2016

Reporting To:         Data Warehouse Manager

Job Type Classification: Permanent

Location – Country: Zimbabwe

Location – Town / City: Harare

Job Purpose          

The role is mainly responsible for specifying, prioritising, managing and meeting a range of business intelligence and reporting requirements across the business, to support effective decision making.

Qualifications and Experience

  • Degree in Information Systems, Computer Science or equivalent.
  • 6 ‘O’ Levels including English, Mathematics and Science
  • 2 “A” Level passes
  • 1 to 2 years experience in a similar or related environment.

Key Result Areas  

REPORTING

  • Examines and evaluates purpose and content of business reports to develop new, or improve existing format, use, and control
  • Confers with persons originating, handling, processing, or receiving reports to identify problems and to gather suggestions for improvements
  • Recommends establishment of new or modified reporting methods and procedures to improve report content and completeness of information

DATA QUALITY AND ASSESSMENT

  • Reviews data cubes refreshing.
  • Monitor for timely and accurate completion of selected data elements
  • Identify, analyse, and interpret trends or patterns in complex data sets
  • Ensure proper configuration management and change controls are implemented in the reporting modules

BUSINESS INTELLIGENCE AND REPORTING IMPLEMENTATION

  • Design and implement technology best practices, guidelines and repeatable processes.
  • Conducts User Acceptance Tests with user departments
  • Conducts post-implementation assessment with user departments

USER SUPPORT

  • Provides first line support for all business intelligence issues as per SLAs

DATA MINING AND ANALYTICS

  • Prepares the data to be used in routine analytics
  • Applies approved data mining models to explain patterns and trends

STAFF SUPERVISION

  • Meets with staff, discusses and agrees medium and short term objectives, develops a work plan, and checks that this is being carried out;
  • Trains staff, or arranges for the training of staff in the understanding and compliance of rules and regulations;
  • Carries out ongoing evaluation of staff, identifies performance strengths and deficiencies, and arranges for necessary action (for example further on the job training);
  • Monitors the overall welfare of staff (such as sickness, loans, death of family), and takes the appropriate action for immediate assistance;
  • Approves, or signs off (as applicable) leave, sick leave and requisition requests;
  • Identifies disciplinary problems or issues being carried out by staff, and arranges for the necessary disciplinary action (such as setting up the disciplinary committee through Human Resources).

Equity Statement

We are committed to Employment Equity when recruiting internally and externally. It is company policy to promote from within wherever possible. Therefore, please be aware that internal candidates will be considered first before reviewing external applicants, provided that this supports achievement of our Employment Equity goals.

Apply here: https://goo.gl/Nw8lGR

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