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Senior Data Analyst

Johns Hopkins University & Medicine: Development and Alumni Relations
Maryland, United States
Salary Commensurate with experience
Closing date
Feb 16, 2024

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Position Type
Administrative, Information Systems
Employment Type
Full Time

Development and Alumni Relations (DAR) supports Johns Hopkins’ focus on research, teaching and patient care, and its role as a national and global leader in higher education. We create and foster enduring relationships that result in advocacy and philanthropic support for Johns Hopkins University & Medicine; strengthening the institution through partnerships with donors, alumni, volunteer leaders, faculty, students, staff, and patients.

Johns Hopkins University supports a flexible work model that includes four different work modalities. This role has a hybrid work arrangement with an onsite presence of 3 days per week. The manager will confirm the team’s core onsite days where the majority/all team members will work in the office. Employees who travel on university business can count those days towards their onsite days.

The Data Analyst at Johns Hopkins University reports to the Director of Data Analytics and Giving Technology in the Office of Annual Giving (OAG), and is a critical piece of data management and reporting for the central Office of Annual Giving team at Johns Hopkins.

The Data Analyst will exhibit excellent quantitative and analytical capabilities, strong understanding of new and emerging fundraising and quantitative modeling techniques and technologies, have a background in database and Customer Relationship Management (CRM) software and project management, and the ability to convert complex data into engaging, informative management reports.

The Office of Annual Giving is a growing team that currently consists of twenty-two colleagues who provide annual giving services to the nine schools of the university, various departments of Johns Hopkins Medicine, and several centers and institutes, totaling over 35 partners. These annual giving services include developing comprehensive and integrated direct response solicitation strategies that are optimal for each unit.

Reporting and Analysis (50%)

  • Provide strategic analysis of revenue and donor acquisition to assist with the creation and/or use of solicitation data, annual giving predictive models, dashboards, and trend analysis for development units.
  • Provide strategic guidance to optimize the level of undergraduate participation.
  • Working closely with OAG colleagues, provide development units on: annual giving strategies focused on data-driven approaches, domestic and international regulations regarding mass solicitations, and giving day/reunion best practices.
  • Calculate, track, and report data to benchmarking studies including the Voluntary Support of Education (VSE), Blackbaud Target Analytics Undergraduate Giving Benchmarking report, and USWNR. Create and maintain standard operating procedures for a two-team validation process, including the Office of Advancement Services (OAS), and an archiving system of benchmarking data.
  • Create and update annual giving dashboards for development offices, providing details on revenue, donors, appeal response rate, ROI, and spatial trends.

Data Engineering (30%)

  • Using the institutions’ donor database, JHAS, and other data software including but not limited to: SQL, SOQL, Tableau, Power BI, Python, and Excel, establish annual metrics, reports, and dashboards for the development units, including the Homewood Undergraduate Program.
  • Create automated processes to extract and manipulate data required for donor solicitations, ensuring a high level of data accuracy, usefulness, and reliability

Other (20%)

  • Provide high-level project management for assigned unit data requests, ensuring reports are created and implemented in alignment of unit needs and goals.
  • Create documentation to expand use of resources and ensure consistent and transparent policies and procedures across the OAG team.
  • Offer assistance and mentorship to Data Analyst by sharing knowledge and providing shadowing opportunities.
  • Other duties as assigned by the Director of Data Analytics and Giving Technology.

Minimum Qualifications

  • Bachelor’s degree.
  • Five years of related experience.
  • Additional education (Master’s level) may substitute for required experience, to the extent permitted by the JHU equivalency formula.

Preferred Qualifications

  • Master’s degree.
  • At least five years of progressive experience in data analytics and data operations.
  • Experience building data pipelines or designing ETL processes.
  • Experience writing advanced SQL and/or SOQL queries.
  • Familiarity with data warehousing and engineering concepts, including Extract-Transform-Load processes.
  • Comfortable working in a complex, multi-divisional, fast-moving, results-oriented environment.
  • Strong interpersonal skills with an ability to influence and drive consensus.
  • Demonstrated success in project management while overseeing multiple priorities.
  • Ability to establish priorities, set objectives, and achieve goals.
  • Ability to organize and interpret complex data sets and utilize analytic techniques and platforms.
  • Ability to identify multi-variables needed to optimize engagement and predictive indices.
  • Strong written and verbal communication skills, including presentation capabilities. Experience presetting data to leadership team for decision-making purposes.
  • Experience in using data visualization tools (i.e. Tableau, Power BI, or similar).
  • Advanced knowledge of Excel, including experience with Power Query, VBA & Macros, Pivot Tables, and lookups.


All applicants are expected to uphold the university’s core values which includes diversity and inclusion. All staff treat people with dignity and respect by being fair and consistent. We demonstrate an open-minded approach to understanding people regardless of their race, gender, age, national origin, religion, ethnicity, disability status or other characteristics. We show respect for the beliefs and traditions of others; encourage and promote practices that support cultural diversity; and discourage behaviors or practices that may be perceived as unfair, biased, or critical toward people with certain backgrounds.

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