Opportunities)
Uganda
Data Quality/Analytics
Security Fund (NSSF) is a Provident Fund mandated to provide social security to
its members as prescribed by law under CAP 222 (Laws of Uganda) through
efficient management of members’ contributions. The NSSF asset base is
currently over Ugx. 9.8 trillion, making the Fund one of the largest
players in Uganda’s economy.
overall data quality assurance and optimizing the value of data at the Fund.
- 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
qualified and interested candidates should send their applications enclosing
detailed curriculum vitae giving three references, copies of academic and
professional certificates, postal address and daytime telephone contact to:
[email protected] For the attention of; The Head of Human Resources &
Administration National Social Security Fund
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