Senior Analyst, Information
Listed on 2026-01-01
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Research/Development
Data Scientist
Job Profile Summary
Under limited supervision, this position is responsible for gathering, extracting, compiling, and analyzing data to create comprehensive reports that will be used to support decision making. Specifically, this position will conduct analysis using data from internal and external sources, prepare reports and research briefs, present findings through oral presentations at meetings and conferences. Further, will assist in data validation and play a vital role in building and maintaining data dictionaries and glossaries, and documenting data related processes.
Performs related duties as assigned.
Associate’s degree. Bachelor’s degree in an analytical field, such as computer science, mathematics, statistics, economics, engineering, or social sciences strongly preferred.
An equivalent combination of education and experience may be considered.
Minimum Experience/TrainingFour years of experience in data extraction and validation, statistical analysis, reporting writing, and making presentations in related field, preferably in a higher education setting in which conducting data analysis and reporting findings is/was the primary function; the experience includes statistical software, i.e. SPSS, SAS, STATA and/or other statistical software (not including spreadsheet packages); and, experience with database software, i.e. SAS, Access, SQL, Paradox, dBase and/or other database software.
EssentialFunctions
- Daily –15%:
Develops and maintains certification and reconciliation procedures for the purpose of managing the accuracy of data required for local, state, and federal reporting. - Daily –10%:
Imports retrieved data into various computer-based tools, such as databases and spreadsheets, and performs advanced analysis, identifies trends, verifies data validity and recommends procedural changes. - Other, as Needed – 10%:
Participates/attends meetings and conferences with vendors and other colleges to assist in the establishment of technical procedures required to apply functional changes to the state reporting system. - Daily –10%:
Performs data analysis, data verification and imports retrieved data into various computer-based tools, such as databases and spreadsheets. - Daily –10%:
Performs longitudinal studies and demographic/geographic data analysis which includes gathering and synthesizing information and data applicable to the study. - Daily –10%:
Creates procedures to automate routine periodic functions to import, export and analyze data. - Daily –10%:
Collaborates with various departments to translate business requirements into data objects and develops prototypes for end-user evaluation. - Daily –10%:
Prepares reports, documentation, and related materials outlining research results; includes evaluating, organizing, verifying and extrapolating data. - Other, as Needed –5%:
Designs and develops electronic workflow processes to facilitate the delivery of information. - Daily –5%:
Identifies and documents information access needs in conjunction with data owners to stay in compliance with privacy and security regulations. - Other, as Needed –5%:
Performs related duties as assigned.
- Demonstrated ability to work with limited supervision in research design, implementation, analysis, and dissemination of research related to higher education.
- Proficiency in Microsoft Office packages and experience with database technologies.
- Proficient in the use of statistical analysis software, such as SAS, SPSS and other BI tools such as Enterprise Miner.
- Excellent verbal and written communication skills.
- Knowledge of statistics and research methodology.
- Ability to conduct data needs assessment and gather specifications.
- Must be detail oriented, organized, resourceful and maintain efficient work habits.
- Ability to complete projects with rapidly changing priorities.
- Ability to interact and effectively communicate research methodology and findings to a diverse constituency.
- Excellent presentation skills.
- Experience with both quantitative and qualitative data analysis.
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