Senior Technical Advisor, Analytics & Data

FHI360/NIGERIA

POSITION DESCRIPTION

Position Title: Senior Technical Advisor Analytics and Data

Location: Adamawa

Supervisor: Director, Monitoring & Evaluation

Basic Function:

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.
• Assess the effectiveness and accuracy of new data sources and data gathering techniques.
• Advise and assist in the development of inferences and conclusions, as appropriate.
• Use predictive modeling to increase and optimize program outputs.
• Coordinate with different functional teams to implement models and monitor outcomes.
• Develop processes and tools to monitor and analyze model performance and data accuracy.

  Knowledge, Skills & Attributes:

  • Strong problem-solving skills with an emphasis on innovation design and strategic frameworks using technology.
  • Experience with Data visualization tools (Excel dashboard, Power BI and Tableau)
  • Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
  • A drive to learn and master new technologies and techniques.
  • Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.
  • Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, etc.
  • Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
  • Knowledge of health and development programs in developing countries in general and Nigeria specifically.
  • Knowledge of Nigerian clinical setting, including government and non-government settings.
  • Sensitivity to cultural differences and understanding of the social, political, and ethical issues surrounding HIV infections.
  • Ability to work well with others and to develop and maintain compatibility among project staff, subcontractors, consultants, and recipients of assistance.
  • Ability to manage tight deadlines and deliver high volumes of work with minimal supervision.
  • Excellent written and verbal communication skills in English for coordinating across teams.
  • Ability to travel within Nigeria 25% time.

    Qualifications and Requirements:

    • 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.
    • Familiarity with Nigerian public sector health systems and NGOs and CBOs is highly desirable.

      Safeguarding:

      FHI 360 is committed to provide a safe environment for all employees, beneficiaries and anyone contracted by FHI 360. This Includes taking measures to protecting vulnerable people from Sexual Exploitation and Abuse (SEA) by either FHI 360 employees or associated personnel. FHI 360 abides by child safeguarding principles. FHI 360’s Safeguarding Policies apply and flow out to all FHI 360 staff, board members, volunteers, and partner staff (subcontractors, consultants, vendors, and sub-recipients), regardless of the funding mechanism or amount of contract, agreement, or purchase order.

      This job posting summarizes the main duties of the job. It neither prescribes nor restricts the exact tasks that may be assigned to carry out these duties. This document should not be construed in any way to represent a contract of employment. Management reserves the right to review and revise this document at any time.

      FHI 360 is an equal opportunity and affirmative action employer whereby we do not engage in practices that discriminate against any person employed or seeking employment based on race, color, religion, sex, sexual orientation, gender identity, national or ethnic origin, age, marital status, physical or mental disability, protected Veteran status, or any other characteristic protected under applicable law.

      Our values and commitments to safeguarding: FHI 360 is committed to preventing any type of abuse, exploitation and harassment in our work environments and programs, including sexual abuse, exploitation and harassment. FHI 360 takes steps to safeguard the welfare of everyone who engages with our organization and programs and requires that all personnel, including staff members and volunteers, share this commitment and sign our code of conduct. All offers of employment will be subject to appropriate screening checks, including reference, criminal record and terrorism finance checks. FHI 360 also participates in the Inter-Agency Misconduct Disclosure Scheme (MDS), facilitated by the Steering Committee for Humanitarian Response. In line with the MDS, we will request information from job applicants’ previous employers about any substantiated findings of sexual abuse, exploitation and/or harassment during the applicant’s tenure with previous employers. By applying, job applicants confirm their understanding of these recruitment procedures and consent to these screening checks.

      FHI 360 will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws.
      
      FHI 360 fosters the strength and health of its workforce through a competitive benefits package, professional development and policies and programs that support a healthy work/life balance. Join our global workforce to make a positive difference for others — and yourself.

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