Descriptions

The Data Analytics Director will lead HABTech’s data modelling, analytics, and visualization
team. S/he will lead the team to enhance a mini data warehouse, ingest data from modeling
multiple data systems, set up and manage multiple databases, create data models,
and dashboards and analyze, assess, and decipher patterns in health data. The data
analytics team also uses sophisticated statistical and machine learning methods for data
analysis and visualizations.

Detailed Responsibilities and Tasks:

● Oversee the day-to-day operations of data scientists, data engineers, data
analysts, and business intelligence analysts; ·
● Report daily tasks to the project director;
● Participate in the data preprocessing (data cleaning, merging, data
transformation) for data extracted from the existing digital health data systems;
● Identify data quality issues and propose strategies to address them;
● Disseminate key analysis results to the Ministry of Health (MOH) and Regional
Health Bureaus (RHBs) to improve health data quality and facilitate data-driven
decision-making;● Triangulate facility-level DHIS2 data with other data systems such as eCHIS,
LMIS, GIS, EMR, etc;
● Perform healthcare data analytics to generate actionable insights and develop
data-driven recommendations;
● Visualize routine community level health data for evidence-based decision
making at all levels of the healthcare system;
● Develop data visualization dashboards using different BI tools (Power BI,
Tableau, and excel …);
● Develop tailored-based dashboards on DHIS2 to improve data used for decision
making;
● Collaborate with the MOH RHBs and other stakeholders to make use of their
data for decision-making.
● Collaborate with partners to develop a data warehouse platform that helps
strengthen the use of health data for informed decision-making.
● Develop data models and visualizations by taking into account the important
health system indicators
● Support regional health bureaus in data analysis and visualization using
geolocation data.
Job Requirements
Qualification requirements include the following
·
● Bachelor’s degree in Software Engineering, Computer Science, Data Science,
● Statistics and Computer Engineering or other related fields, a Master’s degree is
a plus.
● At least seven years of experience working in a complex work environment,
preferably in projects related to data analytics and visualization projects of digital
health systems
● Have a minimum of five years of experience in leading data modeling, analytics, and visualization projects.
● Having an excellent communication skill and need to be able to communicate the
organization’s data and analytics vision both upward and downward to all levels.
● It is essential to be able to take complex analytics concepts and simplify them
into a message that is tailored to partners of the organizations (national and
sub-national health offices).
● Excellent programming language skills such as Python, R, Java, and C#
Strong data analytics tools such as Power BI, Tableau, Hadoop, Spark, Superset,
etc
● Ability to work independently, solve problems, and show excellent interpersonal
skills and ability to work as a team member.
● A proven ability to work as part of a team and to be self-managing.
English language proficiency is required.
● Effectiveness working with culturally and professionally diverse teams.
● Women are encouraged.

How to Apply
● Qualified candidates should submit their application before Jan 23, 2024