Data Manager (Quantitative) – Kampala – FHI 360

About US:
FHI 360 is a leading global development organization dedicated to improving lives around the world. Our professional staff includes experts in education, health, nutrition, economic development, civil society and environment as well as cross-cutting experts in gender issues, research, applied science, behavior change and Technology giving us the unique mix of capabilities to address today’s diverse and interrelated development challenges. FHI 360 operates from 60 offices with 4,400 staff in the U.S. and around the world.

About USAID CHC Project:
Communication for Healthy Communities (CHC) is a five- year program implemented through a cooperative agreement between the United States Agency for International Development USAID/Uganda) and FHI 360. The program supports the Government of Uganda (GOU) and US government (USG) implementing partners to design and implement quality health communication interventions to contribute to reduction in HIV infections, total fertility, maternal and child mortality, malnutrition, malaria & tuberculosis.

Job Summary: The Data Manager (Quantitative) will coordinate all project data management tasks including but not limited to database set up, data entry, data security management, data quality management, and oversight of document records and content management. The incumbent will participate in all activities related to targeted evaluative research, routine monitoring, and knowledge management with an emphasis on formulating, implementing, and enforcing proper data collection and data entry practices.

Key Duties and Responsibilities:
Acquaint self with the CHC monitoring, evaluation, and learning plan (MEL-Plan) to ensure that databases are designed and/or updated with user interface, reporting and operability as priorities
Keenly review of (and updating) project indicators and reporting requirements with the M&E/Research (MER) unit and other project teams
Routinely troubleshoot/ identify gaps in the current database/system, and draft a plan for review/correctional measures
Clearly and efficiently communicate status of current databases to the MER and senior technical team.
Design/update and administer M&E/Research database for CHC that will be populated with performance indicators, indicator narratives, PDF documents, photographs, and other project data.
Perform and document procedures for data preparation including data entry, data cleaning, standardization and analysis.
Respectively, draft standard operating procedures (SOPs) and build navigations to:
Run queries, create crosstab queries, create parameter queries, create action queries, create multi-table queries, save queries, and delete queries
Manage database relationships and keys
Search specific records, set a form as the startup option, use navigation forms, set navigation options, set data dash-boarding options and platforms, change views.
The jobholder collects data generated at regional level and enters into national-level system.
Troubleshoot data quality issues (includes distinguishing data submission errors versus data entry error issues and institute correctional measures accordingly
Work closely with relevant staff on data coding problems and assist in developing means for correction
Mentor and train staff on use of the database system, exporting and importing data to and between spreadsheets, and general troubleshooting
Support the M&E/Research staff, and regional offices with set-up, testing, and implementation of data collection, entry and data management software
Significantly contribute to dissemination and utilization of assessment findings for learning and adaptation in the program (also includes transfer of insight to refine project monitoring, evaluation, and learning plan (MEL-Plan and targets)
Carry out desk review analyses and develop ad-hoc reports as necessary for the two forms of data (M&E/ Research)
Work closely with M&E staff to prepare monthly, quarterly, and annual data reports for distribution and reporting
Print and export database as required by M&E/Research team and other project sections/stakeholders
Create new tables, export data to spreadsheets, import external data into tables, create linked tables from external sources, import tables from other database, create tables from templates and application parts
Actively contribute to development and implementation of evaluation methodology related to various HC data to determine completeness and adequacy of the data collection procedure

Qualifications, Skills and Experience:
The ideal candidate for the USAID FHI360 Data Manager (Quantitative)career opportunity should either hold a Bachelor’s degree in monitoring and evaluation, public health, demography, data management, social science, biostatistics, statistics, or a related field with 7-9 years relevant experience OR a Master’s degree with 3-7 years of relevant professional experience, developing, managing and implementing health sector development research and databases.
At least two years of demonstrated proficiency developing databases with MS Access, web/ Cloud-based technologies and MS Office Suite and other database development software
Broad knowledge, background and understanding of Monitoring & Evaluation (M&E) is critical to this position; this knowledge should include familiarity with: performance indicators, frameworks/PMPs, and monitoring / verification workflow processes and data quality assessments.
Broad knowledge and understanding of how data, is structured in databases.
Significant experience in extracting and summarizing HMIS data for program learning and adaptation
Working knowledge of USAID projects, terminology and M&E best practices and requirements preferred.
Advanced proficiency in MS Access, web/ Cloud-based technologies and MS Office Suite required (Knowledge of non-MS database software preferred)
Organizational and prioritization skills (Candidate must be self-motivated and fast worker).
Ability to work both independently and under supervision in a team environment.

How to Apply:
All candidates who wish to join the USAID FHI360 project in the aforementioned capacity should send a cover letter, updated CV/resume including salary requirements to: The Human Resource Office, FHI 360, Plot 15 Kitante Close, P. O. Box 5768 Kampala, Uganda or via Email to: uganda-info@fhi360.org. Please clearly indicate the title of the position in the email subject line.

Deadline: 10th March, 2016

[yuzo_related]