Data Analyst, Nigeria Monitoring Project- needed at Tetra Tech Company

4 weeks ago

Job title : Data Analyst, Nigeria Monitoring Project-

Job Location : Abuja

Deadline : March 07, 2024

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Position Summary:

  • The Data Analyst will provide technical advice, assistance, and guidance to the program office, technical teams, and implementing partners on issues related to the Mission’s monitoring and evaluation (M&E) activities for the Abuja and Maiduguri offices.
  • The Data Analyst will play a significant role in helping manage all datasets and data systems.
  • The Data Analyst will also play an integral role in the drafting, editing, and overall quality control of Site Visit Reports (SVRs), Monthly Monitoring Summary Reports (MMSRs), special studies, and other NMP reporting deliverables.
  • This position will report directly to the Deputy Chief of Party (DCOP) with oversight provided by the Chief of Party (COP). The estimated period of performance is for a period of five months, from March 2024 to July 2024, with 95 days of total billable effort.

Responsibilities:

  • Create and manage project datasets and data systems.
  • Produce monthly statistical and analysis reports.
  • Respond to routine and ad hoc data inquiries from USAID and partners.
  • Perform data quality control reviews in coordination with local field coordinators (both scheduled and ad hoc) as required.
  • Develop draft data visualization products in conjunction with MSI Headquarters support.
  • Conduct data quality assessments (DQAs) to determine the validity, reliability, and integrity of performance data gathered to monitor program performance as required.
  • Help support in the preparation of comprehensive performance monitoring plans.
  • Provide advice to NMP management on data collection, reporting methodologies and instruments to identify any systemic flaws and to support the development of systems that produce consistent, cost-effective, reliable, and timely data and reports.
  • Participate in analyzing data collected from the field, preparing SVRs, MMSRs, and Quarterly Reports to USAID.
  • Support the development of tools, such as PowerPoint presentations, to further disseminate findings, conclusions, and recommendations in a format that is user-friendly and suitable for collaboration, learning, and adaptation.
  • Support the planning and dissemination of monthly monitoring findings.
  • Assist in the creation and review of NMP data collection instruments and data collection plans.
  • Backstop the WASH sector and warehouse and commodities monitoring and analysis.
  • Work collaboratively with other technical team members.
  • Perform any other duties as may be required or assigned by the DCOP and COP.

Qualifications:

  • Bachelor’s degree in economics, political science, international development, social sciences, statistics or related fields is required. Master’s degree or equivalent is preferred.
  • Minimum two years of professional experience in M&E of donor-funded projects (e.g. USAID, DFID, etc.) or related sector program management required
  • Experience in strategic planning, design and application of methods and strategies to produce, analyze, and use data, and share/communicate information with a variety of actors in different environments.
  • Experience in humanitarian sectors including health, wash, nutrition, food assistance, shelter and settlements, protection, and warehouse and commodities management highly desirable.
  • Experience in conducting data quality assessments on humanitarian projects.
  • Experience with common statistical packages, such as STATA, R, SPSS, SAS and strong knowledge of Excel.
  • Experience in use of data visualization and mapping tools
  • Experience conducting quantitative and qualitative field research in conflict zones is preferred.
  • Ability to communicate technical information clearly and effectively with professionals required.
  • Strong technical, M&E, interpersonal, communication, negotiation, representational and program/project management and coordination, time management, quantitative and analytical skills required.
  • Strong oral and written proficiency in English is required.

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