MEL Analyst

3 weeks ago


Dallas, Texas, United States Nomi Network Full time

We are seeking a skilled and detail-oriented Monitoring, Evaluation, and Learning (MEL) professional to join our team at Nomi Network.

About the Role

The MEL Associate role is crucial in managing and analyzing data to inform programmatic decision-making and organizational learning within our organization. The ideal candidate will have experience working with data sets, qualitative research, and a keen interest in leveraging AI for innovation in monitoring and evaluation processes.

Key Responsibilities
  • Monitoring System Development Support:
    • Assist in setting up and revising data monitoring systems, including tools like Salesforce and Excel, to streamline program data collection and reporting.
    • Develop and revise MEL workflows and Standard Operating Procedures (SOPs) that align with cross-organizational frameworks.
    • Provide guidance and troubleshooting support to domestic and international program teams to ensure effective use of monitoring systems.
    • Ensure data quality and refinement of data processes. Work with staff to ensure compliance.
    • Explore and implement innovative tools and approaches, including AI, to improve efficiency in data management and analysis.
  • Data Collection and Analysis:
    • Clean, organize, and analyze quantitative and qualitative data to assess program effectiveness and produce actionable insights.
    • Create clear and compelling data visualizations to support internal and external reporting needs.
    • Contribute to the design, implementation, and analysis of data collection tools such as surveys and interview guides to gather meaningful program feedback.
  • Organizational Reporting:
    • Assist in preparing routine program and grant reports (monthly, quarterly), ensuring timely and accurate submission to internal and external stakeholders.
    • Support the development and implementation of robust data quality assurance processes, including spot checks and refinement processes to improve accuracy and reliability and ensure best practices for data integrity.
    • Contribute to the creation of detailed evaluation and research reports for internal learning and external dissemination.
    • Collaborate with teams to align monitoring and evaluation practices with the organization's Theory of Change.
  • Team Collaboration:
    • Support teams to monitor and report on grant initiatives through development and use of tools and templates.
    • Work closely with cross-functional teams to ensure data systems meet organizational needs.
    • Support capacity building by training team members in data collection and system usage.
    • Collaborate with team members to identify areas for improvement and innovate solutions to streamline processes.
Requirements
  • Bachelor's degree or equivalent relevant work experience, plus 2-3 years of additional experience.
  • The ability to work with raw data and a demonstrated eagerness to learn.
  • Proficiency in working with data sets, including advanced Excel tools and familiarity with Salesforce or other CRM platforms.
  • Fundamental skills in data analysis and visualization.
Preferred Qualifications
  • Experience designing and analyzing client feedback surveys.
  • Experience with qualitative research methodologies.
  • Interest or experience in exploring AI applications for monitoring, evaluation, and learning.
  • Familiarity with data quality processes and grant reporting.

This position is an excellent opportunity for someone eager to develop their expertise and make a meaningful impact in a collaborative environment.

We strongly encourage survivors of human trafficking, individuals with lived experience, and those from diverse backgrounds to apply.



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