1

Data Analyst Poverty Jobs (NOW HIRING)

HRA fights poverty and income inequality by administering more than 15 major public assistance ... Develop a repository for the relevant data sets and analyses results. Design appropriate scripts ...

HRA fights poverty and income inequality by administering more than 15 major public assistance ... Develop a repository for the relevant data sets and analyses results. Design appropriate scripts ...

EPMO DATA ANALYST

Manhattan, NY · On-site

$100K - $125K/yr

HRA fights poverty and income inequality by administering more than 15 major public assistance ... Develop a repository for the relevant data sets and analyses results. Design appropriate scripts ...

... poverty. As we grow to expand our impact to protect 500 million people from violence, we are seeking a GlobalRisk Data & Analytics Fellow to join our Global Risk team. The Risk subfunction is ...

We create local solutions to poverty and inequality and we seek dignity for everyone every day and ... Work in an agile environment to analyze, design, develop and deliver Enterprise Data Warehouse ...

next page

Showing results 1-20

Data Analyst Poverty information

See salary details

$34K

$82.6K

$136K

How much do data analyst poverty jobs pay per year?

As of Jun 6, 2026, the average yearly pay for data analyst poverty in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 per year, depending on experience, location, and employer.

What does a Data Analyst in poverty research do?

A Data Analyst in poverty research collects, processes, and analyzes data related to economic and social factors affecting poverty. They use statistical tools to identify trends, measure the effectiveness of poverty reduction programs, and provide insights that inform policy decisions. Their work often involves handling large datasets, creating visualizations, and presenting findings to stakeholders such as government agencies, NGOs, and community groups. By interpreting complex data, they help organizations understand the root causes of poverty and evaluate strategies to address it.

What are the key skills and qualifications needed to thrive as a Data Analyst in the field of poverty analysis, and why are they important?

To thrive as a Data Analyst focusing on poverty, you need strong statistical analysis, data management, and research skills, often supported by a degree in statistics, economics, or a related field. Proficiency in tools such as Excel, SQL, R, Python, and data visualization platforms like Tableau or Power BI is typically required. Critical thinking, attention to detail, and effective communication are vital soft skills for interpreting data and presenting findings to diverse audiences. These skills ensure accurate, actionable insights that inform policy decisions and drive effective poverty reduction strategies.

What are some common challenges faced by Data Analysts working on poverty-related projects, and how can they be addressed?

Data Analysts focused on poverty often encounter challenges such as incomplete or inconsistent data, difficulty in accessing up-to-date demographic information, and the need to interpret complex socioeconomic trends. Collaborating closely with field researchers and policy experts can help bridge data gaps and provide context for analytical findings. Additionally, leveraging open data sources and applying advanced data cleaning techniques can improve data quality, enabling more accurate and actionable insights to support poverty alleviation initiatives.

What is the difference between Data Analyst Poverty vs Data Analyst?

AspectData Analyst PovertyData Analyst
Required CredentialsBachelor's degree in statistics, data science, or related field; proficiency in data analysis toolsBachelor's degree in similar fields; similar technical skills
Work EnvironmentNonprofit organizations, government agencies focusing on poverty issuesVarious industries including finance, healthcare, marketing
Employer & Industry UsageOrganizations addressing social issues, poverty alleviation programsBroad industry application across sectors
Search & Comparison IntentPeople interested in social impact data rolesGeneral data analysis roles across industries

While both roles require similar technical skills and educational backgrounds, Data Analyst Poverty focuses on analyzing data related to social issues and poverty, often within nonprofit or government sectors. In contrast, Data Analyst roles are more diverse, spanning multiple industries without a specific focus on social issues.

Infographic showing various Data Analyst Poverty job openings in the United States as of May 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 43% Physical, and 57% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.
EPMO DATA ANALYST

Full-time

Posted 18 hours ago


City Of New York rating

7.1

Company rating: 7.1 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

480th of 643 rated public administrative organizations


Job description

Job Description

The Department of Social Services (DSS) is comprised of the administrative units of the New York City Human Resources Administration (HRA) and the Department of Homeless Services (DHS). HRA is dedicated to fighting poverty and income inequality by providing New Yorkers in need with essential benefits such as Food Assistance and Emergency Rental Assistance. DHS is committed to preventing and addressing homelessness in New York City by employing a variety of innovative strategies to help families and individuals successfully exit shelter and return to self-sufficiency as quickly as possible.
The Human Resources Administration (HRA) is the nation's largest local government social services agency. HRA fights poverty and income inequality by administering more than 15 major public assistance programs, including Cash Assistance, the Supplemental Nutrition Assistance Program (SNAP), Medicaid, Domestic Violence Services, Home Care Services, Child Support Services, and numerous other critical support benefit programs and services. In administering these benefit programs, HRA assists over three million New Yorkers annually.
The Executive Project Management Office (EPMO) executes and implements the HRA Administrator's and EPM's agenda. This entails launching and managing new programs (e.g., the Emergency Rental Assistance Program or ERAP); supporting Information Technology (IT) initiatives through various services, including business analysis, project management, relationship management; prioritizing IT financial resources for HRA; securing Governance approval for new IT projects; coordinating business process improvement initiatives and overseeing the implementation of corrective actions; providing relationship management and escalation services on behalf of HRA clients and service providers with other city as well as state government entities; and coordinating cross-agency initiatives.
The Office of the Administrator / Executive Project Management Office (EPMO) is recruiting one (1) City Research Scientist III, to function as a EPMO Data Analysis, who will:
- Create and implement data research program designed to monitor and enhance the integrity of the
agency's landlord payment, and client records to facilitate timely shelter moveouts and housing
stability for agency's clients. Determine, develop, and maintain econometric models for the
analysis of the agency's client and landlord populations in order to appraise the agency of
changing population characteristics to facilitate appropriate responses, maintain the integrity of
agency and public records, improve the accuracy of payments, and minimize costs.
- Plan and develop statistical and research methodology for the studies related to the City's
ecosystem of landlords, their agents, and building addresses, in conjunction with the study and
analysis of the agency's client population, in order to assess the impact on relationships to the
agency's cash assistance and rental subsidy populations to facilitate and improve how landlords
and clients interact with DSS/DHS/HRA. Review findings and determines the preparation of policy
options, including developing and implementing relevant corrective actions.
- Develop data mining, research, statistical, analytic, and programming techniques to enhance
data and payment accuracy. Leverage findings and best practices to optimize the design of the
major systems used by DSS/DHS/HRA, including CurRent and POS.
- Provide leadership, general direction, and technical guidance to agency personnel, including the
Landlord Management Unit and design teams, in the utilization of large and complicated data sets
and systems for addressing complex and high-profile cases as well as enhancing systems design.
Use ad-hoc queries to achieve objectives.
- Identify and secure access to internal and external systems relevant to the integrity of landlord,
payee, and client data. Develop a repository for the relevant data sets and analyses results. Design
appropriate scripts and mining methods necessary to leverage this data effectively in furtherance of
agency and City objectives.
- Track, document, research, and address systematic issues affecting data integrity. In collaboration
with DSS ITS, develops and proposes enhancements to the back-end design of the relevant agency
systems of record to address and minimize the recurrence of these issues. Provide landlord data
expertise and guidance to other programs and partners.
- Conduct literature reviews and determines research priorities for studies and special projects
requested by the Commissioner and executive staff. Applies advanced econometric techniques
and computer simulation models to perform highly quantitative and qualitative assessment and
analysis of key agency-related service populations.
Work Location: 4 World Trade Center, 42nd Floor, NYC
Hours/Schedule: Normal Business Hours
CITY RESEARCH SCIENTIST - 21744

Qualifications

1. For Assignment Level I (only physical, biological and environmental sciences and public health) A master's degree from an accredited college or university with a specialization in an appropriate field of physical, biological or environmental science or in public health.
To be appointed to Assignment Level II and above, candidates must have:
1. A doctorate degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and one year of full-time experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization; or
2. A master's degree from an accredited college or university with specialization in an appropriate field of physical, biological, environmental or social science and three years of responsible full-time research experience in the appropriate field of specialization; or
3. Education and/or experience which is equivalent to "1" or "2" above. However, all candidates must have at least a master's degree in an appropriate field of specialization and at least two years of experience described in "2" above. Two years as a City Research Scientist Level I can be substituted for the experience required in "1" and "2" above.
NOTE:
Probationary Period
Appointments to this position are subject to a minimum probationary period of one year.

Additional Information

The City of New York is an inclusive equal opportunity employer committed to recruiting and retaining a diverse workforce and providing a work environment that is free from discrimination and harassment based upon any legally protected status or protected characteristic, including but not limited to an individual's sex, race, color, ethnicity, national origin, age, religion, disability, sexual orientation, veteran status, gender identity, or pregnancy.


What City Of New York employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom