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    Data Analyst - New York, United States - Research Foundation at City College of New York

    Research Foundation at City College of New York
    Research Foundation at City College of New York New York, United States

    1 week ago

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    Description
    General Description

    Organizational Description:

    Founded in 2006, the mission of the CUNY Building Performance Lab (CUNY BPL) is to advance high-performance building operations and practices in existing commercial and public buildings. We focus on improving efficiency and optimizing building operations through building systems research and development; continuing education programs for facility managers, building operators, and energy professionals; and internships for CUNY students.

    As part of its work with NYC government, CUNY BPL provides mission-critical support to the Department of Citywide Administrative Services Division of Energy Management (DEM) and its partner agencies for implementing New York City's ambitious climate and clean energy policies. In this role, CUNY BPL staff provide expertise in a wide range of areas related to building systems, operations, and data. This includes advanced energy data analytics, technology application development, and a host of technical skills related to physical building infrastructure and associated data. The organization works collaboratively with industry professionals, other research institutions, and several of the US Department of Energy National Labs; and runs an extensive internship program for CUNY students that provides real world experience across program areas.

    General Description:

    For this specific role, CUNY BPL is looking for an enthusiastic, intuitive, and professional Data Analyst to work with CUNY BPL technical staff to support DEM's greenhouse gas (GHG) emissions performance tracking and reporting goals. The Data Analyst will report directly to CUNY BPL's Senior Business Systems Analyst and contribute to a dynamic body of work related to the production of the City's portfolio- and agency-level GHG emissions inventories.

    The Data Analyst will work to gain an understanding of (a) DEM's data landscape, including current database systems, related tools, and data sources and (b) DEM's operations, business needs and compliance-related obligations. The Data Analyst is encouraged to think proactively about opportunities for improving existing data systems, practices, and procedures.

    Other Duties

    Responsibilities:
    • Support the development and implementation of technical requirements used in database development.
    • Support the development and documentation of processes and procedures related to data management and reporting.
    • Assistance with routine data collection, quality control/assurance, report generation, data validation and other data management-related work.
    • Perform ad-hoc analysis and support engagements with external City agency partners.
    Qualifications

    Required Qualifications:
    • Bachelor's degree and 2+ years of relevant work experience relating to data analytics or climate change
    • Very strong quantitative (and qualitative) analytical skills and excellent conceptual thinking aptitude
    • Strong understanding of fundamentals of data analytics (e.g., data cleaning, quality control/quality assurance methods)
    • Ability to analyze and interpret large datasets; ability to synthesize findings and present recommendations
    • Ability to write technical documentation including business and technical requirements and program SOPs (standard operating procedures)
    • Ability to work autonomously and manage project/deliverable timelines
    • Familiarity with fundamentals of greenhouse gas accounting (including methodologies and protocols)
    • Excellent oral and written communication skills
    • Willingness to work in a highly collaborative environment
    • Ability to prioritize tasks and meet deadlines.
    • Excellent proficiency in Microsoft Excel
    Other Desirable Skills:
    • 1-2 years of experience with developing greenhouse gas inventories (preferred)
    • Experience in building and using Excel-based models and tools (preferred)
    • Familiarity with working in SQL (preferred)
    • Advanced university degree ideally in environmental science, engineering, economics, quantitative finance
    • Specific knowledge in investment carbon foot printing, climate impact assessments of investments, GHG-accounting, or Life Cycle Analysis.
    • Experience with data science, Machine Learning as well as using Python or R libraries for data analysis and visualization
    • Understanding of contemporary software development and collaboration practices
    RFCUNY Benefits
    RFCUNY Employee Benefits and Accruals

    About the Research Foundation

    The Research Foundation of The City University of New York (RFCUNY) was established as a not-for-profit educational corporation chartered by the State of New York in 1963. RFCUNY supports CUNY faculty and staff in identifying and obtaining external support (pre-award) from government and private sponsors and is responsible for the administration of all such funded programs (post-award).

    RFCUNY stands between CUNY's principal investigators (PIs) and the sponsors who support them and strives to fulfill its essential responsibilities to both groups. Working closely with individual PIs and Grants Officers on the campuses, RFCUNY oversees employment, accounting, audit, reporting, purchasing, and special responsibilities that include management of a planned giving program; liaison with governmental agencies and foundations; negotiation of agreements; facility construction and renovation; protection and commercialization of intellectual property; and compliance with applicable standards in research involving human subjects, animal care, environmental and radiological safety, and conflicts of interest.

    Equal Employment Opportunity Statement
    The Research Foundation of the City University of New York is an Equal Opportunity/Affirmative Action/Americans with Disabilities Act/E-Verify Employer. It is the policy of the Research Foundation of CUNY to provide equal employment opportunities free of discrimination based on race, color, age, religion, sex, pregnancy, childbirth, national origin, disability, marital status, veteran status, sexual orientation, gender identity, genetic information, marital status, domestic violence victim status, arrest record, criminal conviction history, or any other protected characteristic under applicable law.
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