Research Analyst

Position Summary

Candid is a nonprofit that provides the most comprehensive data and insights about the social sector. We get you the information you need to do good. Candid currently has an opportunity for a Research Analyst. The Research team leverages Candid’s comprehensive data about nonprofits and grantmaking to shed light on the social sector. As a member of a collaborative team, the Research Analyst contributes to Candid's research and data analyses, creating insights and building knowledge about the sector’s scope, equity, economics, and impact. The Research Analyst collects, cleans, and analyzes qualitative and quantitative data to support Candid’s research and analytic initiatives.

Position: Research Analyst

Reporting to: Director of Research Supervises: N/A Schedule: 35-hour work week, Monday through Friday Compensation: $50,000 - $75,000 (this range is for the NYC area and will be adjusted for other localities; additionally, factors like skills and experience will be considered). Location: Remote. In-person attendance is required twice per year during our annual, weeklong all-staff summits. Additional in-person meeting participation is expected at least once per quarter for senior leaders and at least once per month for the executive team. Staff not located in the NYC area are required to travel for these meetings. Benefits: Health insurance (medical, dental, vision), retirement contribution with additional option for a match, paid life insurance and AD&D, paid leave time (PTO, compassionate leave, volunteer, holiday, parental), short-term and long-term disability, pre-tax transit, flexible spending accounts, supplemental insurance, summer hours, and Public Service Loan Forgiveness (PSLF) program eligible employer.

Responsibilities

• Work with a team to formulate and answer research questions about the social sector using Candid’s data
• Retrieve, review, clean, and code quantitative and qualitative data about nonprofit organizations and grantmaking
• Write SQL queries against large relational databases
• Perform quantitative and qualitative data analysis
• Conduct literature reviews and landscape analyses
• Execute surveys, including instrument programming, contact list management, and respondent outreach and follow-up
• Synthesize findings and translate them for a broad, non-technical audience
• Contribute to written reports and publications, and help craft presentations for varied audiences
• Act as a research subject matter expert for cross-functional initiatives, including collaborating with product, technology, or data science teams as requested
• Respond to internal and external requests in a timely and thorough manner
• Independently manage delegated project tasks and timelines

Requirements

• B.A./B.S. in a field related to data analysis or nonprofit research (e.g., data science, data analytics, economics, statistics, public policy, sociology, philanthropy, or nonprofit leadership) plus minimum one year of professional research experience. Equivalent experience will be considered
• Knowledge of social science research methods and core principles of statistics or data science
• Experience working with large, complex datasets that require cleaning and transformation
• Experience using SQL Server Management Studio to write queries against large relational databases
• Ability to conduct basic quantitative analysis using Python or R
• Willingness to learn and use AI tools
• High attention to detail, particularly in maintaining data integrity, being able to detect data anomalies and inconsistencies, and writing accurate, precise code
• Thrives in a highly collaborative, multidisciplinary environment
• Strong critical thinking skills, with the ability to diagnose problems and develop practical solutions
• Communicates clearly and professionally in all interactions, both written and verbal
• Aptitude and willingness to learn new applications as opportunity and need arise
• Experience fielding surveys a plus
• Familiarity with the U.S. nonprofit and philanthropic sectors a plus
• Willingness to perform other duties and special projects as needed/requested.
• Sensitivity and respect for racial, gender, sexual orientation, and cultural differences. Champions and represents Candid’s core values: We’re driven, direct, accessible, curious, and inclusive.

About Candid

Candid’s mission is to get you the information you need to do good. The world’s problems are only growing, and change can’t wait. Nonprofits are needed now more than ever, but all too often their work goes without adequate support. Candid makes it easier and faster for nonprofits and funders to connect in pursuit of solutions to change the world. Candid is where nonprofits find grants, donors find nonprofits that inspire them, and all can gain insights about the work being done for good. Candid is a qualifying nonprofit organization as defined by the Public Service Loan Forgiveness Program. As such, Candid employees may claim their employment time on their PSLF application. We offer a competitive salary and excellent benefits. Due to the high volume of applicants we typically receive, we regret that we can only contact candidates we would like to interview. For more information on positions available at Candid, please visit our website: Work with us Candid is an equal opportunity employer. Candid provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

Key skills/competency

• Data Analysis
• Quantitative Research
• Qualitative Research
• SQL
• Python
• R
• Survey Design
• Data Cleaning
• Nonprofit Sector
• Critical Thinking