Data Analyst/Manager, West Phila Action for Early Learning: Drexel University

Posted November 6th, 2018 at 3:27 pm.

Drexel University invites applications for a Data Analyst/Manager to work with the University’s early childhood education improvement program, The West Philadelphia Action for Early Learning Initiative (AFEL). The position requires a detail-oriented and organized individual with experience in program evaluation who will conduct data management, data documentation, creation of comprehensive data sets from multiple data sources, and conduct statistical analyses for the diverse set of programs that make up AFEL.

Job Overview

AFEL is a Drexel University-led collaboration of social service and education agencies and community stakeholders working to create an education support system for students and families in the 19104 zip code – primarily the neighborhoods of Mantua, Powelton Village, West Powelton and Belmont. These neighborhoods also are part of the Promise Zone, recently designated and acknowledged for community-based improvement work. AFEL aims to build awareness around the importance of early childhood education; to strengthen the capacity of child care providers; and to support parents/caregivers as their child’s first teachers. Drexel is committed to becoming the most civically engaged university in the country and its place-based neighborhood initiatives reflect this priority.

AFEL’s long-term goals are Kindergarten readiness and reading on grade level by the end of third grade so that all West Philadelphia children can achieve educational success and beyond. Since 2014, AFEL has laid a clear foundation for achieving these goals and is now exploring the possibility of scaling up the Initiative. Drexel is looking for a Data Analyst/Manager with experience in program evaluation and a passion for supporting community change – particularly in the area of early childhood education. The accompanying salary is competitive and comes with comprehensive benefits. This is a full-time temporary position for a three-year grant-funded  project contingent upon renewal of grant funding. This position supports all of AFEL’s programs including the West Philadelphia Promise Neighborhood, an anti-poverty program with a strong emphasis on urban education.

The Data Analyst/Manager would work closely with AFEL’s Evaluation Manager and report to the AFEL Project Director. The Data Analyst/Manager duties include but are not limited to: 1) integrating and analyzing student, family, school, community, and child care provider data from multiple sources to monitor AFEL impact; 2) developing both disaggregated reporting processes to inform program implementation, and aggregated reporting to disseminate to key stakeholders, and 3) providing data analysis results to be used in required funder reports, publications, research and grant applications. Specifically, 40% of the position will focus on organizing data, including storage, cleaning, and ongoing maintenance; the remaining 60% of the position includes data compilation, analysis and reporting. AFEL is particularly interested in finding an analyst who is flexible and works well on a team and is interested in partnering with the Evaluation Manager to develop and/or identify creative approaches to demonstrating improvement in AFEL outcomes over time.

The Data Analyst/Manager will create and link complex datasets (incorporating historical and new data), create appropriate documentation, and conduct statistical analyses. He/she will provide input on data collection methods, supervise data entry, and be responsible for organization and management of the AFEL data. Data will be stored within Salesforce and the Data Analyst/Manager will work with Drexel technologists to advise on the development of an AFEL data dashboard. The Data Analyst/Manager also will assist in developing manuscripts and reports for presentation and publication and reports to funders.

Responsibilities include:

Perform compilation and linkage of multiple datasets including academic, assessment, service provision, professional development and coaching, survey, cohort, and other datasets as

  • Work with both internal Drexel partners – especially the Drexel Promise Neighborhood Data Team – and external program partners to ensure data coordination and integration for longitudinal
  • Interact with AFEL and Promise Neighborhood researchers to acquire and clean
  • Implement secure data management tools for data management processes including data entry, data integration from AFEL partners and providers, data storage and security, and data access and
  • Develop and maintain detailed documentation for data cleaning, linkage, storage, analyses, and reporting. Develop a system for routinizing these tasks by reporting cycles for different funding
  • Fulfill data analysis requests as needed from the AFEL team. Track data analysis requests and ensure data confidentiality as
  • Conduct data analyses including descriptive, cross-sectional, multilevel and longitudinal analyses under the direction of the Principal Investigator or other project Co-Investigators. Use statistical software package to conduct analyses and include coding for analyses as part of documentation.
  • Conduct statistical analyses for manuscripts, abstracts, and
  • Create and implement data quality processes and procedures to ensure quality of data entry and
  • Supervise staff and/or students dedicated to data entry and
  • Support IRB submissions and amendments


  • At least a master’s in psychology, sociology, education, public health, information technology, or other related quantitative field
  • Experience with program evaluation. At least 3 years’ experience conducting analyses for program evaluations post-graduate school preferred
  • Experience working with and linking complex cross-sectional and longitudinal datasets
  • Experience with cross-sectional, multilevel, and longitudinal statistical
  • Very detail oriented, extremely organized, and comfortable with multitasking
  • Excellent written and oral English communication
  • Team oriented and experienced working with diverse groups of investigators and
  • Knowledge of programming in SAS, SPSS or related statistical software, working knowledge or ability to quickly learn other statistical programs as
  • Experience with education or service provision data management and analyses a Interested applicants, please apply at
Filed under: Management Level by Margie DuBrow

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