The Ugandan Jobline

• Develop usage and access control policies and systems in
  collaboration with the data steward.
• Partner with the data stewards towards continuous improvement
  processes impacting data quality, including developing and automating data
  cleaning and monitoring tools and routines using advanced programming
  techniques and methods.
• Apply advanced data science, statistical and predictive modeling
  techniques to build, maintain, and improve on multiple real-time decision
  systems.
• Conduct end-to-end data mining against specific processes and
  activities to identify and treat any identified gaps. Enhance data
  collection procedures to include information that is relevant for building
  analytic systems.
• Partner with process owners to adhere to develop policy and
  procedure manuals, standard systems and methods for managing business
  processes, enable sustainable improvements in business results.
• Facilitate desired productivity and quality performance from team
  and stakeholders, based on defined KPIs as set by management teams across
  the department.
• Continuously check the organization’s data privacy policy or monitor
  compliance of data process flows against data quality standards.
• Report to management on the progress of data quality improvement and
  help resolve data quality problems through appropriate process design
  strategies, as well as error detection, correction tests and procedures.
• Develop and market new data related products and services both
  internally and externally.

• The applicant for the National Security
  Social Fund (NSSF) Data Analyst job placement must hold a Bachelor’s
  degree in any of these fields; Mathematics, Statistics, Data Science,
  Software Engineering or Computer Science, or any other highly numerical
  degree
• Formal Training or Certification from a
  recognized institution in one of the following; Data Science, Machine
  Learning, Big Data Analytics and Big Data (completed or enrolled).
• Post Graduate Degree or Diploma in the
  fields specified is an added advantage
• At least two years of experience in data
  science and analytics solutions.
• Proficiency in statistical analysis,
  quantitative analytics, forecasting/predictive analytics, multivariate
  testing, and optimization algorithms.
• Algorithmic and structured thinking
• Excellent programming skills,
  preferably; Python and R-programming
• Knowledge of machine learning and big
  data techniques
• Excellent interpersonal skills
• Extremely meticulous in approach to work
• Keen attention to detail

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