Job Title: Data Collection Specialist - Conexiones & Connections Progra
PVN ID: BM-2202-004592
Category: Managerial and Professional
Location: BOROUGH OF MANHATTAN C. C.

Job Description

General Description

The Data Collection Specialist will be responsible for the coordination and ensuring the operational success of the Conexiones & Connections program at Borough Manhattan Community College (BMCC).

Reporting to Conexiones & Connections program management the Data Collection Specialist Assists the Director and Assistant Program Coordinator to

  • Prepare monthly and annual reports on program performance and status.
  • Compile and validate data and provide weekly reports.
  • Collaborate with team members on data validation, deriving key insights, coordination & task prioritization, and communicate updates about fixes/edits to tools & programs used for collection.
  • Research, identify, and collect relevant data and conduct preliminary analysis.
  • Report project status, adhere to key timelines and milestones, identify data gaps, and serve as a conduit between operational and technical teams.

Other Duties

Duties/Responsibilities

  • Create structures to align Conexiones program's daily on-site data collection with grant and contract reporting requirements.
  • Develop and implement effective data management strategies.
  • Utilize data to make recommendations for targeted outreach and invitations and to assess the effectiveness of outreach strategy.
  • Assist with case management/tracking systems.
  • Develop systems to collect attendance and engagement data reporting purposes.
  • Implement workflows responsive to student-reported data.
  • Provide supervision to university student staff supporting data collection.
  • Coordinate formative and summative assessment processes to evaluate program effectiveness.

Qualifications

Required Qualifications

  • Bachelor's degree in data science or related field.
  • Excellent written and verbal communication skills.
  • Knowledge and experience with Microsoft Office (Word, Excel, Access, Outlook)
  • Project management experience.
  • Ability to interface with a variety of internal and external stakeholders, including senior administrators and staff, faculty, students, and funding agency program officers.

Preferred Qualifications

  • Master’s degree in data science or related field highly preferred.
  • Experience working in higher education. 
  • Strong proficiency in written and spoken Spanish preferred.
  • Experience with psychometrics a plus.
  • Experience with data visualization a plus.

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.

Key Features

Department
Student Affairs
Status
Part Time
Pay Range
$25.00-$30.00
Hour(s) a week
16.00-19.00
Closing Date
Aug 31, 2022 (Or Until Filled)
Bargaining Unit
No

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