University of Zimbabwe - Clinical Trials Research Centre (UZ-CTRC)
DUE: 26 SEP 2024
University of Zimbabwe – Clinical Trials Research Centre (UZ-CTRC)
VACANT POST – DATA ANALYST
University of Zimbabwe – Clinical Trials Research Centre (UZ-CTRC) is seeking suitably trained,
competent, talented, multi-task and qualified Data Analyst. Position in based in Harare.
UZ-CTRC was established in 1994 and has conducted high impact observational studies,
implementation studies and Phase I-IV clinical trials in HIV, TB, COVID -19 and associated comorbidities funded by National Institute of Allery and Infectious Diseases, AIDS Malignancy
Consortium, Bill, and Melinda Gates Foundation among others. UZ-CTRC has served as a center
of excellence in the prevention and control of HIV and AIDS and have contributed to global
understanding of HIV epidemiology and pathogenesis, global and Zimbabwean health policy, by
providing scientific evidence through our highly equipped and resourced network of laboratories
that operate in strict compliance with International best practices guided by GCLP and ISO 15189
standard.
UZ-CTRC is implementing a US Center for Disease Control and Prevention-US President’s
Emergency Plan for AIDS Relief (CDC-PEPFAR) funded Laboratory Systems Strengthening (LSS)
program in Zimbabwe from 2023 to 2026 supporting the Ministry of Health and Child Care
(MOHCC). The LSS program will enhance access to high quality testing towards achievement of
the UNAIDS 95-95-95 goals.
Qualifications and Experience
• Bachelor’s degree in data science/ Statistics/ Computer Science and Information Science
• Master’s degree in any of the above disciplines is a pre-requisite.
• At least 3 years proven working experience as a Data Analyst or Business Data Analyst.
• Technical expertise regarding data models, database design development, data mining and
segmentation techniques.
• Hands-on experience with SQL database design as well as R and Python programming.
• Strong knowledge of and experience with reporting packages (Business Objects etc), databases
(SQL etc), programming (XML, Javascript, or ETL frameworks), dashboard (PowerBI, Tableau,
etc)
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel,
Stata, SPSS, SAS etc).
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant
amounts of information with attention to detail and accuracy.
• Adept or proficient at queries, report writing and presenting findings.
• Advanced use of qualitative and quantitative data analysis software.
Responsibilities
• Reports to M&E Advisor.
• Develop and manage the organizational database.
• Develop ETL tools and data pipelines to connect the database to the reporting tools.
• Develop reports that combine data from different datasets.
• Interpret data, analyze results using statistical techniques and provide ongoing reports.
• Develop data collection systems, data analytics, and other strategies that optimize statistical
efficiency and quality.
• Acquire data from primary or secondary data sources and maintain data systems.
• Identify, analyze, and interpret trends or patterns in complex data sets.
• Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to
locate and correct code problems.
• Devise and utilize algorithms and models to perform data and error analysis to improve models;
clean and validate data for uniformity and accuracy
• Analyze data for trends and patterns, and interpret data with clear objectives in mind
• Creating an information architecture for a data set and ensuring that it is readily accessible and
understandable to all users
• Make recommendations on how the organization may best utilize the data they currently have to
their advantage or make suggestions about what new data should be collected.
• Work with program management to prioritize information needs.
• Locate and define new process improvement opportunities.
TO APPLY
Interested candidates should forward applications and detailed curriculum vitae to the
below email address not later than 26 September 2024: –
[email protected]
Only shortlisted candidates will be contacted. Canvassing candidates will be disqualified