Job Description

JOB TITLE: Learning, Measurement, and Impact Analyst 

INTERNAL JOB LEVEL: Senior Manager

FLSA STATUS: Exempt 

SUPERVISORY RESPONSIBILITIES: None

REPORTING TO TITLE: Director, Organizational Learning and Effectiveness

STARTING SALARY RANGE: $95,000 - $110,000

POSITION SUMMARY 

The Learning, Measurement and Impact Analyst (LM&I Analyst) will work closely with Organizational Learning and Effectiveness (OLE), executive team, program leads, and operational staff to lead and support research and analysis that contributes to measuring progress towards outcomes at all levels of the foundation’s strategy: organizational, programmatic, and operational. The LM&I Analyst is expected to leverage both quantitative and qualitative data in the production of intelligence that supports accountability, strategic decision-making, and shared learning as well as in the communication of impact to a broad range of internal and external stakeholders, including executive and board leadership, staff members, and others in the communities with whom we partner. The LM&I Analyst will support a dynamic and diverse scope of data analysis and evaluation projects and collaborate with internal (and external, as needed) partners to establish data systems, processes and reports which tell data-informed stories (through both narrative and visualization) that help staff leverage and use data equitably, effectively, and efficiently for learning, monitoring progress toward outcomes, and evaluating impact. In addition, the LM&I Analyst will support overall organizational effectiveness by making connections and identifying patterns and trends from different projects and pieces of work across the foundation.

The ideal candidate for this position is passionate about using data and evidence to support accountability, learning, and decision-making that drives change. They are a critical, independent thinker as well as a curious listener with a strong understanding of quantitative and qualitative data analysis approaches and methodologies. They have a deep familiarity with the data and tools that support both quantitative and qualitative measurement and learning such as statistical packages, business intelligence tools, administrative data from data client collection systems, survey collection platforms, and interviewing and focus group protocols. At the same time, it is equally important that the candidate brings a highly adept level of communication skills and standard for quality and accuracy to this role to be able to translate findings across projects, programs, and functions, and across different audiences and levels of familiarity with data and technology. The candidate can successfully support multiple, diverse projects simultaneously, working both independently and collaboratively with staff across programmatic and operational functions as well as external partners.

The Foundation structures our work through a portfolio of interconnected initiatives. All staff play a role in connecting and synthesizing knowledge across teams to further the Foundations’ Mission and Vision. Diversity, equity, and inclusion (DEI) is who we are and what we do. It is not separate but at the heart of our work. We are committed to driving change that centers communities and results in equitable societies, starting with a commitment to equity and inclusion for our staff. Specifically, we have committed to center racial equity and become an antiracist organization. Our team is expected to demonstrate and uphold our core values as well as our commitment to DEI in every facet of their work. Given the power inherent in knowledge and data and the reality that evaluation efforts can either advance or hinder equity, this individual is expected to intentionally approach their work in ways that contribute to equity, including:

1.     Evaluative work should hold, at its core, a responsibility to advance equity

2.     Evaluative work should take into consideration historical and structural implications, the effect of a strategy on different populations and the underlying systemic drivers of inequity, and cultural context and implications.

3.     Evaluative work should be designed and implemented in alignment with the values and practices underlying our equity work, including an orientation toward participant ownership and benefit.

As part of this commitment, we expect all staff to gather, care for, use and openly share knowledge in ways that advance equity, support shared learning, and amplify community expertise. The Foundation strongly encourages and seeks applications from all qualified individuals whose racial, socioeconomic, ability status, and other individual dimensions allow them to bring unique and diverse perspectives.

ESSENTIAL DUTIES AND RESPONSIBILITIES

LEARNING, MEASUREMENT, AND EVALUATION SYSTEMS AND SUPPORT

• Conduct research related to a variety of topics and issues relevant to the sector and the foundation’s strategy to inform organizational LM&E efforts;
• Support an outcomes-based approach to continuous learning and quality improvement by developing and implementing systems and tools that improve our ability to collect, interpret, aggregate/disaggregate data and track progress of organizational objectives and key results (OKRs) and learning questions (e.g., staff perception survey, partner perception survey), and operational key performance indicators (KPIs);
•  Assist in determining which forms of qualitative and quantitative data (e.g., community, project data, financial, other OKRs) are necessary for helping the organization and other stakeholders make meaning and tell stories that enhance learning and impact;
• Collaborate with programmatic and operational functions to understand their ME&L needs and design, develop and configure data tools, resources and workflows for capturing and disseminating data about progress toward goals;
• Collaborate with Operations, Grants and IT to monitor and enhance data collection protocols and systems that support LM&E;
• Assist with planning and facilitating periodic learning conversations that help staff leverage data from across the organization for reflection and learning, accountability, and decision-making;
•  Prepare and deliver training and technical assistance to support organizational, functional, and individual data capacity building (e.g., research methodologies, equity in evaluation, data quality standards);
• Develop and maintain documentation that describes the processes for how analyses are completed, reports are developed, data is integrated, etc. to support replication, knowledge transfer, and equitable and efficient data storage and access; 
• Provide project-based evaluation and data analysis technical assistance and capacity building support for external partners as needed and determined by OLE and programmatic colleagues.

DATA ANALYSIS, PREPARATION, AND REPORTING

• In collaboration with OLE and other foundation staff, prepare clear data collection and analytic plans to answer impact and evaluation questions;
• Create, test and implement data collection instruments and protocols (e.g., interviews, surveys, etc.);
• Extract, compile and synthesize data (e.g., organization, programs, partner reports, and publicly available data) from a variety of databases, data collection tools and other sources;
• Clean, manage, and code qualitative and quantitative monitoring and evaluation data;
• Identify, analyze, and interpret trends or patterns in data sets of varying sizes and complexity;
• Collaborate with Programs and Grants staff to support analysis of partner reporting and other grants-related data, including synthesizing data as well as developing reports and data dashboards;
• Generate data visualizations, dashboards, reports and written material to communicate findings appropriate for a variety of stakeholder — internal and external, technical and non-technical — audiences, collaborating with the Communications team as needed; 
• Develop and maintain documentation that describes the processes for how analyses are completed, reports are developed, data is integrated, etc. to support replication, knowledge transfer, and equitable and efficient data storage and access.

GENERAL

• Promote a culture of continuous improvement that values learning and a commitment to quality.
• Perform other assignments as needed.

Qualifications

FUNCTIONAL/TECHNICAL REQUIREMENTS: The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Equivalent combinations of work experience and training that provide the required knowledge, skills and abilities will also be considered

QUALIFICATIONS

Education/Professional Background

• Degree in Information Sciences, Social Science, Public Policy, Statistics or related discipline; Advanced degree preferred. Commensurate experience will also be considered;
• Minimum 5 years of work experience in role related to data analysis, business intelligence and/or evaluation;
• Knowledge of and experience with applying monitoring and evaluation strategies as well as quantitative and qualitative research methodologies;
• Excellent project management skills, with a strong attention to detail and the ability to meet deadlines and independently move projects from creation to completion with limited guidance;
• Self-motivated and proactive with the ability to work on multiple projects independently and collaboratively to achieve objectives in a timely manner; and
• Strong research skills (including tracking research, citations, etc.).

Technical Skills: Required

• Exceptional communication, storytelling, and presentation-building skills, including the ability to translate complex statistical concepts into simple and actionable insights;
• Strong analytical skills with significant experience using quantitative and qualitative data analysis software (e.g., SPSS, NVivo, R, Atlas.ti, Python, etc.);
• Intermediate or advanced data visualization skills, including knowledge and experience using visualization tools and software (e.g., Power BI, Tableau, GIS, LucidChart);
• Knowledge and experience with online survey software (e.g., Microsoft Forms, Survey Monkey, Qualtrics, etc.);
• Expertise in data cleaning and data preparation including the use of data prep tools;
• Strong knowledge of Microsoft Office Suite (especially Excel).

Technical Skills: Preferred

• Familiarity with social sector (nonprofit and/or philanthropy);
• Experience designing social science research and completing process and impact evaluation (either through academic training or work experience);
• Expertise with mixed methods research; and
• Experience with accessing and using publicly available datasets (e.g., Census, Dept of Labor, etc., and/or web scraping).

Additional Information

PHYSICAL DEMANDS: The physical demands described below are representative of the requirements by an employee for successful perform of the essential functions of this job. Reasonable accommodations may occur to enable individuals with disabilities to perform the essential functions. 

While performing the duties of this job, the employee may regularly be required to talk and hear. The employee is frequently required to sit and use their hands. The employee is occasionally required to stand and walk. The employee may be required to lift and/or move up to 25 pounds. 

WORK ENVIRONMENT:  

This position will be remote during the COVID-19 pandemic with the option to work out of the Bethesda, MD office, as preferred while complying with the in-person work protocols that are in place (i.e., vaccination and mask requirements, reserving a workstation). Remote work requires logging onto your computer during work hours, responding to emails , and participating in video calls and meetings throughout the day; therefore, access to high-speed, reliable internet is crucial. The foundation provides all required equipment and supplies to undertake the tasks of the job (laptop, monitors , and other accessories) which are shipped to the employee’s home.

While the foundation is currently working under a hybrid operating model (remote and in-person work as preferred) there may be mandatory in-person meetings or meet-ups in the future as needed. 

The Bainum Family Foundation is an equal-opportunity employer. The Bainum Family Foundation does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), or any other basis protected by law. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs.