Consultant – Data Analyst Consultant – WHO Guide for Rehabilitation Workforce Evaluation (GROWE)

Purpose of consultancy
To contribute to accelerating the progress to Triple Billion Targets and the development of acceleration scenarios for the indicators making up the Triple Billion Targets, and to develop regional and country level analytics to support Stock take processes.
Deliverables: 
Deliverable 1: Analysis of acceleration scenarios. 

Output 1.1: Contribute to coding of acceleration scenarios into the billionaiRe package for all 3 billion targets. 
Output 1.2: Contribute to the development of acceleration scenario outputs for DFI for all billions, specific to different scenarios including “meet global targets”, “benchmarking” and others as directed. 

Deliverable 2: Develop country outputs from triple billion data lake.

Output 2.1: A country profile output in Excel with updated data for all WHO Member States, including options of acceleration scenarios.
Output 2.1: A country profile output in ppt or word, including data interpretation of priority indicators.

Deliverable 3: Contribute to the analytics for Health Emergency Protection Billion.

Deliverable 3.1: Propose options for acceleration scenarios for Health Emergency Protection Billion.
Deliverable 3.2: Facilitate preparations for deep dives into Health Emergency Protection Billion indicators.

Deliverable 4: General Analytics and onboarding to WHDH.

Deliverable 4.1: Facilitate onboarding of teams producing data for the triple billion into the world health data hub data lake.
Deliverable 4.2: Provide analytic and R coding support to the DFI and MFI teams.

Qualifications, experience, skills and languages.
Educational Qualifications:
Essential:

First university degree in public health, data science, statistics or related subject.

Desirable: 

An advanced degree in public health, data science or statistics.

Experience
Essential:

At least 5 years of relevant experience in analysing and/or management and dissemination of health data, of which at least one year experience at the international level.

Desirable: 

Experience in dashboard development and maintenance.

Skills

Proficient with R, particularly the tidy verse suite (dplyr, tidyr, rlang).
Package development expertise.
Knowledge of the Triple Billion framework and associated methods.
Knowledge of Triple Billion R package environment.

Closing Date: Jan 19, 2023

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