Data Analyst

Under the overall guidance of the Senior CDC IGH Advisor and direct supervision of Advanced Analytics Team Lead, the incumbent shall be part of the Advanced Analytics team in respective EOCs. He/she is expected to perform following key duties at the National Emergency Operations Center (NEOC) for the Polio Eradication Initiative:

Location: Islamabad

Responsibilities:

1.     Provide technical assistance to the NEOC for Polio Eradication Initiative (PEI) in terms of optimal data usage through statistical analysis of SIAs, Surveillance, & Essential Immunization data, applying triangulation, using visualizations, and critical thinking for interpretation of results and assessment of the impact leading to the generation of practical recommendations for actions.

2.     Assist NEOC teams in data collection, management, analysis, and reporting on activities in compliance with the NEAP, the Surveillance and Outbreak Response Plans and other global and national guidelines used at the national, provincial, and district levels for investigation of AFP cases and assessment of environmental surveillance in the province/districts and review weekly/monthly surveillance data.

3.     Maintain and manage other data sources which are not centralized like refusals data, HRMP/Population linkages surveys, zero dose data, household clusters, population movement data and incorporate in risk assessments.

4.     Maintain and update GIS shape file up to UC level of respective province

5.     Support NEOC in polio program risk assessment.

6.     Pre-campaign analytical support - Based on agreed indicators and score weightage identify the low performing UCs after every campaign and share with NEOC for next campaign planning, monitoring of low performing UCs.

7.     Support province and districts in campaign performance analysis during campaign phase on daily basis, identify and share key findings with provinces/districts for immediate attention.

8.     Perform in-depth post campaign review at province/district/UC level after each SIAs and present to PEOC/DEOC/UC with key findings and interpretation for action to improve performance during next campaign.

9.     Ensure the highest possible quality, adequacy, accuracy, integrity, and legitimacy of data (via regular data checks, cleaning, design of internal automatic data verification tools), effective operability and efficient use of all existing data sources.

10.  Ensure digital databases and archives are protected from security breaches and data losses

11.  Review ongoing data analysis / risk assessment in priority districts EOCs and support them in preparing analysis reports based on data trends and patterns

12.  Participate in capacity building activities of the Data assistant /officers at different levels, including teaching, mentoring, and advising on data usage, analyses, triangulation, visualization, mapping, and interpretation.

13.  Travel frequently to the identified low performing districts and high-risk areas to support the Supplementary Immunization Activities, AFP/VPD Surveillance System.

14.  Undertake other relevant duties as directed by the Senior CDC IGH advisor and Advanced Analytics Team Lead

15.  Actively participate in the organizational biweekly call/visual meeting

Requirements:

• Master’s in computer sciences, Biostatistics, Public health, Information Technology or Mathematics, Computer Programming or Related field.
• At least 4-5 years of experience as a Data Manager, Data Programmer or Data Analyst.
• At least 2 years of experience and high-level expertise in R, statistical software, advance excel, tableau/power BI, GIS mapping or equivalent.
• Al least 2 years of experience in following database entry programs:

Census and Survey Processing System (CSPro)

Microsoft Access/MySQL/Oracle

SQL

Open Data Kit (ODK)

RedCap

• Strong attention to detail with an affinity to work with data encompassing data presentation / visualisation skills.
• Ability to balance assignment, prioritize, and meet deadline.
• Good interpersonal skills and ability to work on a team.
• Familiarity with geographic information software (GIS)
• Familiarity with SAS, STATA, SPSS, or EPI info.