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Job Analysis:
The primary purpose of the EPMO Data Analyst role is to enhance data integrity related to landlord payments and client records within the context of the New York City Department of Social Services (DSS). This position plays a crucial role by utilizing econometric models and statistical analysis to inform strategic decisions that impact the agency's efforts in preventing homelessness and providing essential benefits. Responsibilities include developing research methodologies, performing data mining, and conducting complex analyses that require not only technical expertise but also an understanding of social service programs. Success in this role will involve not just technical aptitude but the ability to translate data into actionable insights that align with HRA's mission of fighting poverty and housing instability, necessitating strong cross-functional collaboration skills and a capacity for problem-solving within social science frameworks. Candidates will face challenges in balancing the data-driven demands while ensuring the responsiveness of programs to the changing characteristics of New York's populations.
Company Analysis:
Lensa operates at the intersection of technology and social services, positioning itself within a dynamic and mission-driven environment focused on using machine learning to improve job seeking and talent acquisition. The organization's culture likely prizes innovation, data-driven decision-making, and a commitment to social equity—values that resonate deeply with HRA’s mission to alleviate poverty and support vulnerable populations in New York. Within the city’s ecosystem, the role of the EPMO Data Analyst is pivotal, as it influences strategic decisions that affect real lives. This position is not only within a vibrant team but also offers the opportunity to directly inform high-impact initiatives. As part of a larger organizational structure, the analyst will need to engage with various stakeholders, reinforcing the importance of communication and collaboration in achieving overarching goals. The strategic alignment of this role reflects a focus on using detailed data analyses to optimize program outcomes, making it essential for candidates to align their skills and aspirations with Lensa's transformative vision.