Title: Learning and Evaluation Officer
Job Level: Officer
Supervisor: Director, Evaluation & Analytics
At Global Fund for Women our vision is a world where movements for gender justice have transformed power and privilege for a few into equity and equality for all. We fund bold, ambitious, and expansive gender justice movements to create meaningful change that will last beyond our lifetimes.
The Learning and Evaluation Officer is a member of the Impact & Effectiveness Team and reports to the Director of Evaluation & Analytics. Working closely with the Director of Evaluation & Analytics, s/he is responsible for supporting Global Fund for Women’s movement research and tool development agenda and data analysis to improve operational effectiveness and efficiency. S/he is responsible for coordinating and supporting partners and grantees using our movements analysis tools, analyzing data and producing visualizations, and contributing to knowledge generation and sharing. S/he serves as the lead for specific internal and external research projects, and provides quality analysis and useful insights to key audiences. S/he contributes to Learning and Evaluation team functions, including monitoring, evaluation, and reporting on specific initiatives as well as supporting Learning and Evaluation Systems and Processes.
ESSENTIAL JOB FUNCTIONS
Movement Research & Tool Development (60%)
- Manage timelines, coordination, and implementation of technical support for partners using Movement Capacity Assessments and Movement Mapping Tools
- Support the implementation and data collection processes within and across concurrent assessments
- Provide timely, quality analysis of results and support partners in interpretation and communication of findings
- Support partners to strengthen capacity to lead research process, including providing resources, trainings, tools, and guidance.
- Contribute to meta-analyses of cross-movement data and synthesize findings for internal and external sharing, tool improvement, or new tool development.
- Facilitate engagement with researchers, practitioners, peer funds and aligned research centers to build and expand Global Fund for Women’s network
Data Analytics & Operations Research (25%)
- Identify, design and implement analytical projects leveraging existing datasets to explore the global philanthropic landscape, historical trends, and emergent issues
- Collaborate internally to conduct analysis of existing processes and systems and develop communications to improve operational effectiveness and efficiency.
- Support internal and external research projects and collaborations, including providing technical guidance or analysis capabilities.
- Coordinate with external and internal stakeholders to scope, implement, and communicate the results of analytical projects.
Monitoring & Evaluation for Grantmaking Portfolios & Initiatives (5%)
- Contribute to monitoring and evaluation planning or implementation for initiatives.
Learning and Evaluation Systems and Processes (10%)
- Collaborate on special projects to improve data collection, management, accessibility and/or sharing.
- Work closely with Learning and Evaluation Officers on data use and analysis projects from grantmaking data
- Reports to the Director of Evaluation & Analytics
- Constructive and effective daily working relationships within and across teams
- Coordinate engagement with funds or partners interested in and/or using tools
- Participate in events with peers, partners, and/or aligned researchers
KNOWLEDGE, SKILLS, AND ABILITIES
- Experience managing or coordinating mutli-site, multi-stakeholder research projects remotely
- Ability to select and implement appropriate and feasible research approaches, utilizing standards in qualitative, quantitative, and mixed-methods data collection and analysis
- Experience systematically and thoroughly evaluating data (including quality parameters) to build clear, compelling and evidence-based recommendations
- Skilled in data management (querying databases, creating/modifying variables, shaping or re-shaping datasets for use-specific) and using statistical techniques for description, inference, or predictive analysis
- Understanding of statistical software programs for qualitative and quantitative data management and analysis
- Ability to create audience-appropriate visuals and communicate results or recommendations in clear, succinct terms
- Strong attention to detail, organizational skills, and ability to multi-task
- Strong interpersonal skills with the ability to develop and manage solid working relationships
- Ability to scope feasible, appropriate, and utilization-focused research projects and engage technical and non-technical experts in implementation
- Ability to exhibit flexibility in a fast-paced environment
- Interest and initiative to scope, pitch, and lead independent projects
- Sensitivity and appreciation for varying viewpoints and communication styles in a politically and culturally diverse environment
- Experience working in applied research in an organizational context
- Experience developing, testing, and refining frameworks and tools for research or assessments
- Experience developing and coordinating research work plans and timelines
- Oral and written fluency in one or more languages in which Global Fund for Women grantmaking operates (Spanish, Russian, Arabic, French)
EDUCATION AND EXPERIENCE
- Masters degree in Social Science field or equivalent with a minimum of 3 years of experience working in relevant fields
- Demonstrated experience in mixed-methods, applied research or evaluation
- Prior work history or partnerships with not-for-profit organizations or social science research centers
The Global Fund for Women is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, national origin, ethnicity, disability, age, sex, gender identity or expression, sexual orientation, or any other status protected by law. Women, people of color, and LGBTQI candidates are strongly encouraged to apply. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.