Epmo Data Analyst

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.

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.

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.

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.

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.

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.

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.