This vacancy has been closed.

Closing Date: 16 November 2022
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Business Intelligence Analyst  Gaborone
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Job purpose:

Reporting to the Senior Business Intelligence Analyst, the successful candidate will be responsible for providing business reporting, analysis, and insights through the design, implementation, and maintenance of organisation wide business intelligence systems.

 

Qualifications and experience:

  • Degree in Computer Engineering / Computer Science / Information Systems / Business Intelligence and Data Analytics.
  • Data Science certifications will be an added advantage
  • 2 years’ experience in a telecommunications environment with emphasise in Business Intelligence.

 

Skills:

  • Solid knowledge of advanced statistical analysis techniques and concepts, and how to apply them to data sets and draw insights.
  • Advanced analytical & modelling skills
  • Advanced working knowledge in data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R,SAS)
  • Advanced MS Excel skills.
  • Good working knowledge of Data Visualization tools
  • Good knowledge of Database management systems
  • Good knowledge of Unix/Linux Operating Systems
  • Innovative, proactive, organised, and rigorous
  • Ability to work and deliver under pressure
  • Ability to communicate effectively with team members and executive management

 

Main/principal missions:

  • Provide insightful recommendations to optimize main business KPIs through statistical models.
  • Carry out the daily business intelligence environment monitoring including BI data backups to ensure data completeness and integrity.
  • Perform the design, implementation, and update of automated business KPI dashboards, reports and ad-hoc business reports.
  • Implement self-service portals and dashboards for different business functions.
  • Ensure timely delivery of ad-hoc requests and recommend standardisation of ad-hoc requests to business as usual reports.
  • Ensure BI platform availability to end users and continually improve the quality of data source systems, processes and standards.
  • Proactively identify inconsistent data trends and produce periodic recon reports between source systems & BI platform.
  • Recommend process improvements for BI initiatives [data recon, dashboards design] and proactively communicate to stakeholders on system unavailability, planned work.
  • Integration of new business services and data flows into reporting systems.


 

Closing Date: 16 November 2022