Pact Inc, is implementing a USAID-funded project Community Action for HIV Control. The project goal is to accelerate Ukraine’s efforts to achieve HIV epidemic control by 2030 by improved prevention, testing and linkage to care among key and priority populations.
Pact is seeking applications for the position of Data Analyst. Under the M&E and SI Senior Advisor supervision, data analyst will be responsible for analysis of the program data and provision of strategic information to guide the project implementation and technical assistance to CSOs implementing partners.
Обов'язки
develop data collection and analysis systems to effectively monitor the impact of programmatic activities within the scope of the project on the regional trends in HIV testing, HIV prevention services uptake, linkage to care and ARV treatment
develop and maintain data visualization instruments: dashboards (including, but not limited to, interactive/dynamic dashboards)
prepare infographics based on the results of data analysis
conduct data analysis of indicators and other relevant programmatic, epidemiologic, sociodemographic, behavioral data collected from baseline and other data sources within the project activities. With the technical team, make appropriate recommendations to the program activities based on analysis of the collected data
conduct statistical analysis of programmatic data: develop scientific questions, design data collection procedures and forms, perform univariate/bivariate/multivariate statistical analysis, prepare reports based on the statistical analysis results
participate in the process of building capacity of regional partners of the project in data management, data analysis, data products use for programmatic purposes
report and disseminate results, lessons learned and data collected for the project
contribute to the preparation of project’s digest and other communication materials
work collaboratively across the team to ensure the program is meeting its goals and objectives
perform other duties, as assigned
Вимоги
Master’s degree in public health, epidemiology, social work, statistics, analytics or other related discipline.
at least 5 years of experience in data collection and analysis and the provision of technical assistance. On exceptional basis the project could employ a candidate with less experience if he/she will demonstrate high level of knowledge and skills for data management
experience designing and providing capacity building assistance in data management, data analysis, data products use
familiarity with Ukrainian public health and healthcare systems, particularly with HIV prevention and treatment areas
familiarity with HIV epidemiology in Ukraine
experience working with key populations affected by HIV in Ukraine
demonstrated ability to work in complex environments and work with and between different stakeholders
demonstrated skills in problem-solving and consensus building
the candidate must be demonstrably proficient in (oral, writing and reading) Ukrainian and English
ability to travel within Ukraine and occasionally internationally, when health and safety situation allows
experience in Quality Improvement model implementation
experience in development of statistical models in the field of public health, epidemiology
experience with R programming language (and RStudio) and/or Python programming language for data analysis
experience with data visualization instruments (R’s ggplot2, Shiny packages; Python’s Pandas, Matplotlib packages; Tableau; MS Power BI and the likes)
experience with Geographic Information Systems (GIS)
working knowledge of Structured Query Language (SQL)
excellent command of MS Excel for data analysis
experience implementing USG-funded programs in Ukraine
experience working with community-based organizations and/or key populations in Ukraine
Умови
Pact is an equal opportunity employer and does not discriminate in its selection and employment practices on the basis of race, color, religion, sex, national origin, political affiliation, sexual orientation, gender identity or expression, marital status, disability, genetic information, age, citizenship status, genetic information, matriculation, family responsibilities, personal appearance, credit information, tobacco use (except in the workplace), membership in an employee organization, or other protected classifications or non-merit factors.