The Business Applications unit within University Relations seeks a
senior data analyst to join its team of data analysts and
application developers. The senior data analyst will work to
support Advancement operations for the University of Maryland,
which includes development (fundraising), alumni and donor
relations, gift processing, and other functions. The selected
candidate will play a key role in enabling Advancement business
users to make data-informed decisions that will help the university
reach its capital campaign goals to advance the University of
Maryland strategic objectives.
data analyst will manipulate and analyze advancement datasets to
reach meaningful data driven conclusions and discoveries. Working
closely with business stakeholders to understand their goals and
data dependencies, translates user analytics, and applies standard
data analysis processes that concludes with sharing findings in
written and presentable formats.
In addition to data analysis and engineering, the ideal data
analyst maintains sharpened kit of tools and techniques that
applies inferential statistics and probability tools, such as
analyzing A/B tests and building, to daily advancement operations;
and applies visualization principles to the data analysis process
in order to find layers of insights and to create a compelling data
The senior data analyst works to support daily data needs in
collaboration with other team members to efficiently complete
incoming service requests while working closely to support Business
Application data preparation, full stack development, data
integration pipelines, and management of data and records.
Education (include licenses, certifications,
Bachelor’s degree required.
Candidates must have at least 5
years of data analysis experience. 3 years minimum experience in
Python for data analysis and wrangling. Experience working in
relational databases is required.
Knowledge, Skills, and Abilities:
candidate is someone who is curious, methodical and a critical
thinker. We are looking for someone who can grow on the job by
continuously learning new things, and brainstorming ideas for how
to improve current internal data processes and how to utilize
innovative data technologies. The successful candidate must be
someone who likes to communicate via concise writing and visual
presentation of ideas, and who is excited about technology in
general and data intelligence specifically.
Candidates should have:
- Proven experience in data analysis to extract meaningful
insights and visually present them.
- Working knowledge of one or more of python’s data analysis
libraries, such as Pandas, NumPy, SciPy, Seaborn, SciKit, etc.
- Excellent communication skills with the ability to prepare
solid presentations, facilitate meetings, and summarize data
findings for end users.
- Solid understanding of statistics and data analysis
- Critical and creative thinking to know what to ask, to examine
assumptions and support your conclusions with communicable/written