Senior Strategy Analyst

Harnham; United States; Hybrid; USD 100,000 - 140,000; Full time

Job summary

Harnham is seeking a Senior Strategy Analyst for a nonprofit focused on housing access and reducing child poverty. You will turn ambiguous policy questions into actionable analyses for government stakeholders, using public datasets and rigorous statistics.

Role requires efficiency with limited resources, strong communication, and the ability to advise senior leaders. Hybrid or remote in the US with a salary range of $100,000–$140,000.

Qualifications

• Master’s degree (or PhD) required.
• Strong statistical analysis skills with proficiency in R, Python, or Stata.
• Experience with public datasets and data cleaning/interpretation.
• Experience in nonprofit, government, or think tank settings.
• Ability to navigate ambiguous requests and communicate findings clearly.

Responsibilities

• Partner with city officials, foundations and stakeholders to define analytical approach.
• Identify and combine public datasets (ACS, CDC data, Ed data, Feeding America, state/local sources).
• Work with incomplete data including FOIA data to develop credible analyses.
• Apply regression, hypothesis testing, and causal inference while noting limitations.
• Translate findings into policy and resource allocation recommendations.
• Present analyses and recommendations to senior government and policy leaders.

Skills

Statistical analysis

R

Python

Stata

Public datasets

Policy analysis

Communication

Education

Master’s degree

PhD

Tools

R

Python

Stata

Job description

Location: Dallas, TX | Hybrid or Remote in US

Compensation: $100,000–$140,000

Reports to: Head of Strategic Analytics

Role Overview

A nonprofit focused on improving housing access and reducing child poverty is seeking a Senior Strategy Analyst to help government and policy leaders make better decisions with data. This is a consultative role for someone who can take an ambiguous question, determine what evidence is available, and turn complex analysis into practical guidance, particularly when resources are limited and allocation decisions are difficult.

Responsibilities

• Partner with city officials, foundations, and other stakeholders to clarify open-ended policy questions and define an analytical approach.
• Identify, query, and combine publicly available datasets, including the American Community Survey (ACS), CDC data, Department of Education data, Feeding America data, and state and local government sources.
• Work through messy, incomplete, and inconsistent data, including records obtained through FOIA requests, to develop credible analyses.
• Apply statistical methods such as regression, hypothesis testing, and causal inference, while being clear about the limitations of the data and methods.
• Translate findings into recommendations that can inform policy, community programs, and complex resource allocation decisions.
• Present analyses and recommendations with confidence to senior government and policy leaders.

Requirements

• At least 4 years of relevant experience with a master’s degree, or 2 years with a PhD.
• Strong statistical analysis skills and proficiency in R, Python, or Stata.
• Experience working with public datasets, especially data that requires substantial cleaning, reconciliation, or interpretation.
• Experience in a nonprofit, government, public policy, or think tank setting.
• The judgment to navigate ambiguous requests, challenge assumptions, and distinguish what the evidence shows from what it cannot establish.
• Strong communication and presentation skills, with the confidence to advise senior stakeholders.
• A genuine interest in public systems, community programs, and using evidence to improve outcomes.

**Please Note** Our client is unable to accommodate sponsorship or transfers at this time.