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Quantitative Research Analyst​/Sr. Analyst, Child Welfare

Job in Towson, Baltimore City, Maryland, 21204, USA
Listing for: Automatic Data Processing, Inc.
Full Time position
Listed on 2026-10-31
Job specializations:
  • Research/Development
    Data Scientist, Research Analyst
Salary/Wage Range or Industry Benchmark: 72000 - 87000 USD Yearly USD 72000.00 87000.00 YEAR
Job Description & How to Apply Below

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Quantitative Research Analyst/Sr. Analyst, Child Welfare

Child Welfare Regular 100% Full-Time Research Prof Baltimore, MD, US

3 days ago Requisition

Salary Range: $72,000.00 To $87,000.00 Annually

Child Trends is seeking a (Senior) Research Analyst who specializes in quantitative and statistical methods for its Child Welfare research area. (Senior) Research Analysts are expected to work on multiple projects simultaneously as a task leader and individual contributor.

The Child Welfare Program Area addresses the needs of children who have been or who are at risk of being maltreated, placed in foster care, or adopted. We focus on how child welfare and collaborative agencies are structured, funded, and administered; the policies and services implemented to address families’ needs; and how interaction with child welfare agencies affects the well-being of children and families.

Through research and technical assistance, we seek to inform policy makers and improve front‑line practice.

This position requires strong writing and quantitative skills, logical thinking, great attention to detail, excellent communication skills, and a commitment to ethics and equity in research and the workplace. The ideal candidate will have experience and/or interest in a wide range of policy- and practice‑relevant child welfare topics such as child welfare data systems and infrastructure, transition‑aged youth, adoption, artificial intelligence, and using technology to streamline processes and practices.

The ideal candidate will also be knowledgeable about designing and conducting research rooted in equitable principles and working with communities most impacted by the child welfare system.

Typical Duties and Responsibilities

  • Works on multiple research and evaluation projects simultaneously as a quantitative task leader or analyst.
  • Works both independently and as part of a team to contribute to reports, briefs, and memos.
  • Manages a quantitative analysis plan from data cleaning to final results with timeline, scope of work, and budget.
  • Contributes to designing protocols for the collection of quantitative data.
  • Supports and contributes to data collection efforts, as needed.
  • Collaborates with colleagues to develop analytical plans and data management documentation.
  • Analyzes quantitative data using basic and sophisticated statistical methods.
  • Conducts research with an equity lens.
  • Commits to continuing their own learning and growth to being a more equitable employee and researcher.
  • Assists with proposal development.
  • Presents findings to clients and stakeholders in public forums.
  • Trains and supervises research assistants and support staff.
  • Contributes to communications and dissemination efforts.
  • Some travel may be required.

The following is our list of preferred qualifications. If you do not meet our criteria exactly but think you are a good fit for this position, please submit and tell us why in your cover letter.

Qualifications:

  • Master’s degree in research methods, statistics, applied statistics, applied mathematics, biostatistics, applied economics, data science, sociology, psychology, social work, public health, 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 a variety of inferential statistical techniques and research methods including, but not limited to: data cleaning, missing data management, analyses of categorical data and continuous data, and quasi‑experimental designs.
  • Experience with managing, cleaning, and analyzing secondary and/or administrative data, Examples…
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