Workatele

Senior Technical Advisor at Family Health International (FHI 360), Adamawa, Nigeria

Family Health International (FHI 360)

Senior Technical Advisor at Family Health International (FHI 360), Adamawa, Nigeria

Family Health International (FHI 360)

Full time Job

Date Posted: January 17, 2024

Application deadline:

Expired on: January 24, 2024 12:00am

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Job description

The Senior Technical Advisor – Data Analytics and Data participates in the provision of technical assistance aimed at strengthening collection, analysis, and use of data for decision making. The Senior Technical Advisor will supervise and utilize large data sets to find opportunities for improving program implementation, strategy optimization, and providing data-driven feedback to both the Government of Nigeria and the donor.

Duties and responsibilities:

  • Determination of power and sample size requirements for studies – Cleaning, merging, and preparing analytic datasets
  • Develop data analysis plans and prepare reports based on data analysis plans
  • Work with stakeholders and the organization to identify opportunities for leveraging innovative technology/statistical models for business development.
  • Mine and analyze data from company databases to drive optimization and improvement of implementation strategies.
  • Develop custom data models and algorithms to apply to data sets.

Qualification & Experience:

  • Ph.D. in Computer Science, Computer Engineering, Health Information Management, Statistics, Mathematics or another quantitative field with relevant Professional Certification in Information and Communications, Technology, and related disciplines. 5 to 7 years relevant experience manipulating data sets and building statistical models.
  • MSc in Computer Science, Computer Engineering, Health Information Management, Statistics, Mathematics or another quantitative field with relevant Professional Certification in Information and Communications, Technology, and related disciplines. 7 to 9 years relevant experience manipulating data sets and building statistical models.
  • Experience using statistical computer languages (R, Python, SLQ, STATA, SAS, etc.) to manipulate data, querying databases, and draw insights from large data sets.
  • Experience working with and creating data architectures.

Application deadline:

Expired on: January 24, 2024

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