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Child Trends

Quantitative Research Analyst, Early Childhood

Child Trends

. Work on multiple research and evaluation projects simultaneously as a quantitative task leader or analyst .

Posted 9/22/2026full-timeRemote • United StatesSenior💰 $72,000 - $87,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in quantitative analysis, including proficiency in statistical methods and data management, while effectively communicating findings to diverse audiences. Capable of managing research projects and collaborating with stakeholders in early childhood research and policy evaluation.

Highest-signal resume keywords
Quantitative AnalysisStatistical MethodsProficiency With StataData VisualizationExcellent Writing Skills

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Inferential Statistical TechniquesData CleaningCategorical Data AnalysisContinuous Data AnalysisQuasi-Experimental DesignsManaging Secondary DataAnalyzing Administrative DataAdvanced Microsoft Excel SkillsResearch MethodsMethodological Designs
Soft Skills
Excellent Task ManagementStrong Communication SkillsCritical ThinkingProblem-Solving AbilitiesAbility To Work Independently
Tools & Technologies
StataRMicrosoft OfficeGitGitHubPythonSQL
Industry Keywords
Early Childhood ResearchPolicy EvaluationData Collection ProtocolsEquity LensTechnical Assistance

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • Work on multiple research and evaluation projects simultaneously as a quantitative task leader or analyst
  • Contribute independently and collaboratively to reports, briefs, and memos
  • Manage quantitative analysis plans from data cleaning through final results, including timeline, scope of work, and budget
  • Contribute to quantitative data collection protocols and support data collection efforts
  • Develop analytical plans and data management documentation with colleagues
  • Analyze quantitative data using basic and sophisticated statistical methods
  • Conduct research with an equity lens
  • Continue learning and growth toward becoming a more equitable employee and researcher
  • Assist with proposal development
  • Present findings to clients and stakeholders in public forums
  • Train and supervise research assistants and support staff
  • Contribute to communications and dissemination efforts
  • Work with federal government, state agencies, communities, and foundations on early childhood research, evaluation, technical assistance, and policy projects

Requirements

What you’ll need
  • Master’s degree in research methods, statistics, applied statistics, applied mathematics, biostatistics, applied economics, data science, quantitative sociology or psychology, public health, mathematics, psychology, education, public policy, or a related field plus 2–3 years of experience OR a Bachelor’s degree plus 3–5 years of relevant quantitative experience
  • Experience with inferential statistical techniques and research methods, including data cleaning, missing data management, categorical and continuous data analysis, and quasi-experimental designs
  • Experience managing, cleaning, and analyzing secondary and/or administrative data
  • Proficiency with Stata or R
  • Proficiency with Microsoft Office, including advanced Microsoft Excel skills
  • Experience with data visualization
  • Excellent writing skills and ability to communicate complex information to general or policy audiences
  • Excellent task management and organizational skills
  • Strong communication skills
  • Ability to work independently and as part of a team
  • Strong critical thinking and problem-solving abilities
  • Ability to provide and take direction
  • All candidates must be authorized to work in the US
  • Resume/CV, cover letter, work sample showcasing quantitative skills, and three professional references required
  • Desired but not required: experience with data collection and management; methodological designs; causal analyses, structural equation modeling, multi-level modeling, policy evaluation methods; Python and/or SQL; Git and GitHub; client work

Benefits

Comp & perks
  • Benefits eligibility
  • Flexible schedule
  • Flexible remote work in most states
  • Background check conducted only after qualified interviews and before offer decisions
  • Reasonable accommodation for the application or interview process
  • Equal employment opportunity protections