The Ugandan Jobline

• Create models that depict company-wide
  trends and dashboards that represent the state of the business.
• Perform testing and validation of data
  sets.
• Monitor and audit data quality.
• Analyze data and develop reports from
  company MIS and make recommendations to management and other relevant
  stake holders.
• Provide quality assurance of imported
  data.
• Managing and designing data and information
  according to guidelines.
• Work closely with the MIS team in
  identifying and revising reporting requirements.
• Liaise with internal and external
  clients to fully understand data content.
• Prepare reports for internal and
  external audiences using business analytics reporting tools.
• Provide sector and competitor bench
  marking, mine and analyze large data sets, draw valid inferences and
  present them successfully to management using a reporting tool.
• Determine the meaning of data and
  explain how various teams and leaders can leverage it to improve and
  streamline their processes.

• The applicant must hold a Bachelor’s
  degree from any accredited university or college in mathematics,
  statistics, computer science, information technology or related field.
  Possession of a Master’s degree in business information systems, OR Computer Data Analyst Economics OR Information Management OR Mathematics
  or Statistics. Data Science and Analytics is desired
• A minimum of three to five years of
  experience as a data analyst or in a related field.
• Work experience as data analyst or in a
  related field.
• Strong analytical capabilities.
• Expert with Microsoft Excel and various
  business intelligence and analytical tools including PowerBI,
• High level written and verbal
  Communication skills with the ability to distill complex subjects to a
  wider audience.
• Strong
  knowledge of data quality assurance, analysis and reporting.
• Excellent leadership, collaboration, and
  project management skills.
• Keen attention to detail.
• Willingness to make decisions and solve
  problems.
• Previous
  experience with Tableau or other data visualization software
• Ability to use vast statistical analysis
  packages i.e. Stata, SPSS, Epi-Data

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