The Ugandan Jobline

• 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

• 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.

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