Senior Data Analyst

Contract duration: One(1) year with a possibility of extension up on the availability of funds and successful performance of year contract.

Required Number: One (1)

Purpose: Ethiopia is experiencing different public health emergencies. An effective and efficient emergency forecast, communication, preparedness and response will reduce mortality, morbidity and associated impact on the affected population. Hence in order to achieve this, the Public Health Emergency Management (PHEM) need competitive and experienced candidate for anticipating/forecasting public health emergencies by developing, customizing and utilizing public health emergencies occurrence forecasting model for current emergency.

Role and responsibilities

A data analyst is responsible for collection, organizing and make advanced analysis on all Public Health Emergency related data. They utilize technical expertise to ensure data is accurate and high-quality. Data is then analyzed, designed, and presented in a way that assists individuals and organizations make better decisions.

Prepare data for further data analysis forecasting and disease modeling.

Make spatial analysis with spatial diseases modeling and forecasting, make risk analysis for selected disease specially climate prone disease.

Integrating different softwares like DHIS2, Power BI and Organizations SQL server for better data utilization and visualization.

Using automated tools to extract data from primary and secondary sources.

Removing corrupted data and fixing coding errors and related problems.

Developing and maintaining databases, and data systems reorganizing data in a readable format

Performing analysis to assess the quality and meaning of data.

Capacitate the staffs on data management and data analysis.

Filter Data by reviewing reports and performance indicators to identify and correct code problems.

Using statistical tools to identify, analyze, and interpret patterns and trends in complex data sets could be helpful for the diagnosis and prediction.

Assigning numerical value to essential business functions so that business performance can be assessed and compared over periods of time.

Analyzing local, national, and global trends that impact both the organization and the industry.

Preparing reports for the management stating trends, patterns, and predictions using relevant data

Working with programmers, engineers, and management heads to identify process improvement opportunities, propose system modifications, and advise data governance strategies.

Preparing final analysis reports for the stakeholders to understand the data-analysis steps, enabling them to take important decisions based on various facts and trends.

Developed software applications for statistical modeling and graphic analysis.

Write scripts with python and R programing for infectious diseases modeling, forecasting and better visualization.

Train the staffs on python and R programming

Building sophisticated dashboards with Tableau, Power BI, Matplotlib, Seaborn, or ggplot2 to represent data in a visual format.

Implement any other duties assigned from the organization.

Educational background biostatistics, Epidemiology, Statistics and related field

Evidence of formal training in analytic tools and methodologies.

Required Skills and Experience

Five years for PhD and 10 years for MSc/ MPH holders

Ability to write high quality reports, public health research, working ability in a team and emergency situations.

Knowledge and understanding of disease surveillance, epidemiology and public health practice.

Good experience in producing/publishing scientific reports.

Experience on data visualization with Tableau, Power BI, R-shiny apps,Python etc

Data analysis experience with R, Python, shiny apps and other statistical softares

Disease modeling and forecasting with R,Python and other command based softwares

Disease forecasting and modeling with respect to spatial analysis, spatial disease modeling, forecasting, network analysis interpolation etc.