Okay, I've searched for City Research Scientist positions in Manhattan within the social sciences, requiring a doctorate degree and 2+ years of experience, for full-time roles. I found 47 positions that match your criteria.

Sure. Here's the analysis:

Job Analysis:

The role of EPMO Data Analyst within the New York City Department of Social Services is fundamentally about leveraging data to enhance the stability and efficiency of social programs that support New Yorkers in need. This position requires not only the technical capability to analyze and manage large datasets but also a strategic mindset to develop models that influence policy and operational decisions. The analyst will be involved in creating datasets that ensure integrity in landlord payments and client records, which is critical for maintaining public trust and maximizing resources allocated to combating homelessness and poverty. Key responsibilities include developing econometric models, overseeing data integrity, and providing actionable insights that facilitate timely responses to client populations and housing challenges. Success in this role involves navigating complex relationships among various stakeholders, utilizing statistical methods effectively, and driving improvements in project management and IT systems, all of which require a high degree of adaptability and strategic foresight.

Company Analysis:

The Department of Social Services operates at the forefront of public welfare in New York City, making it a crucial player in addressing social challenges such as poverty and homelessness. As a part of the NYC Human Resources Administration and Department of Homeless Services, the DSS is positioned as a leading service provider, emphasizing innovation and integrated management to optimize service delivery. The agency’s culture likely embodies a strong commitment to public service, collaboration, and data-driven decision-making, presenting a dynamic environment for the EPMO Data Analyst. This role is integral within the organization, suggesting that the candidate will have substantial visibility and influence over how data informs higher-level strategies and operational practices. Given the focus on outcomes and efficiency, alignment with the agency's mission will be crucial for the EPMO Data Analyst, making an understanding of the social service ecosystem and the agency's overarching goals vital for long-term success.

Absolutely. Here are some mock interview questions that could come up:

• Tell me about a time when you had to work with a large dataset. What challenges did you face, and how did you overcome them?
• Describe an experience where your data analysis led to a significant change or improvement in a project or initiative.
• How do you prioritize competing projects and deadlines in a data-driven environment?
• Can you provide an example of how you have used statistical methods to inform a critical decision or policy?
• How would you approach developing an econometric model for analyzing client populations in social services?
• What techniques do you use to ensure data integrity when managing large datasets?
• If tasked with identifying trends in homelessness, what data sources would you leverage and why?
• Imagine you are asked to analyze discrepancies in client payment records. How would you approach this investigation?
• Why do you believe you are a good fit for the EPMO Data Analyst position at the Department of Social Services?
• What interests you about working in the public sector, particularly with the Department of Social Services?
• How do your previous experiences align with our mission to combat poverty and homelessness?
• What innovative strategies would you consider implementing to improve landlord-client interactions based on program data?
• Can you tell us about a time when you had to influence a decision or change in your organization using data?