EPMO DATA ANALYST

City of New York•New York, NY

7d•$95,070 - $125,000•Onsite

About The Position

The Department of Social Services (DSS) comprises 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. HRA is the nation’s largest local government social services agency, administering over 15 major public assistance programs and assisting over three million New Yorkers annually. The Executive Project Management Office (EPMO) executes and implements the HRA Administrator’s and EPM’s agenda, including launching and managing new programs, supporting IT initiatives, prioritizing IT financial resources, securing Governance approval for new IT projects, coordinating business process improvement initiatives, overseeing corrective action implementation, providing relationship management and escalation services, and coordinating cross-agency initiatives. This role functions as a Data Analyst within the EPMO.

Requirements

A master's degree from an accredited college or university with a specialization in an appropriate field of physical, biological, environmental or social science.
Three years of responsible full-time research experience in the appropriate field of specialization.
At least two years of experience in a responsible supervisory, administrative or research capacity in the appropriate field of specialization.

Nice To Haves

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.
Two years as a City Research Scientist Level I can be substituted for the experience required.

Responsibilities

Create and implement data research programs 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 to appraise the agency of changing population characteristics, maintain the integrity of agency and public records, improve payment accuracy, and minimize costs.
Plan and develop statistical and research methodology for 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, to assess the impact on relationships to the agency’s cash assistance and rental subsidy populations.
Review findings and determine 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 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 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, develop and propose 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 determine research priorities for studies and special projects requested by the Commissioner and executive staff.
Apply advanced econometric techniques and computer simulation models to perform highly quantitative and qualitative assessment and analysis of key agency-related service populations.