Senior Data Analyst

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.
The senior 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 story.

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, etc.):
Bachelor’s degree required.

Experience:
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:
The ideal 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 processes
• Critical and creative thinking to know what to ask, to examine assumptions and support your conclusions with communicable/written findings