Senior Research and Data Analyst (Data Scientist)

Website University of Arizona

Posting Number req9292
Department Vet Med Administration
Department Website Link
Location Outside of Tucson
Address 1580 E Hanley Blvd, Oro Valley, AZ 85737 USA
Position Highlights The University of Arizona’s College of Veterinary Medicine invites applicants for the position of Senior Research and Data Analyst. The Senior Research and Data Analyst analyzes data from various databases/sources, performs institutional research activities, and assesses instruction and learning. This position uses proficiency in statistical programming to create meaningful visual representations and detailed reports. The analyst uses research and statistical methodological skills, particularly related to assessment and evaluation, to design projects, track metrics, maintain databases, predict outcomes, and improve educational research by answering challenging questions. In addition, the analyst will be responsible for managing a large longitudinal dataset by combining data from multiple data sources.Outstanding UA benefits include health, dental, and vision insurance plans; life insurance and disability programs; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; state and optional retirement plans; access to UA recreation and cultural activities; and more!

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Duties & Responsibilities Duties and Responsibilities:

  • Gathers and analyzes data from various databases and sources, performs statistical and/or mathematical programming.
  • Assists in the design and implementation of statistical techniques and computer data systems including establishing coding formats for future scientific research/data collection.
  • Generates statistical data for analytical purposes using a variety of scientific software packages; illustrate relationships, develop predictive models; interprets data for institutional projects.
  • Model response data from exams, questionnaires, data collection/ sampling instruments, or reporting formats.
  • Develops and/or maintains databases, and provides consultation, technical assistance, and coordination for a wide variety of investigators or other research faculty/staff.
  • Creates and manages databases including setting up datasets and associated data entry programs, querying data from database for purposes of analyses or data review, transforming data for research/assessment needs, develop graphs, tables, dashboards, and reports linked to datasets.
  • Develops, facilitates, implements, evaluates, performs, administers, and oversees a wide variety of data/research projects or initiatives.
  • Assists in judging the validity of data obtained from experimental procedures and recommends additional tests and/or modifications.
  • Evaluates new platforms, sources, techniques, and scientific programs to aid management
    Utilizes advanced data management skills (e.g. data extraction, transformation, data integrity, database design and planning (e.g. table structuring, one-to-many relationships), etc.).
  • Develops reports based on statistical findings and research.
  • Create visual representations (tables, graphs, dashboards) of data collected and analyzed based on audience/stakeholder.
  • Prepares and disseminates appropriate information to stakeholders and constituents in support of goals.
  • Present/Publish findings, methodologies, and research.
  • Advises and assists units/investigators in determining the appropriate statistical methodology to meet their study needs and objectives; uses various statistical and mathematical software packages to summarize and interpret statistical results; and designs, implements, and coordinates study activities and process improvements.
  • Apply advanced knowledge of modern research methods, data collection, management, manipulation, and analysis and ability to apply methods appropriately for small and large populations/samples.
  • Apply advanced knowledge of the principles and techniques within education research and statistics.
  • Apply qualitative methodology and qualitative statistical software packages and relational databases.
  • Apply skills in conceptualizing, designing, and analyzing quantitative and qualitative data.
  • Test and modify exams/questionnaires or other instruments or data summarization methods, procedures, or reporting formats.
  • Assist in evaluations of programs, projects, and policies to assess effectiveness and recommend refinements.
  • Assist in developing research initiatives to support strategic planning and decision-making processes.
  • Assist in data collection.
  • Coordinates and/or conducts library and computer searches for research/projects.
  • Assists in the development of written operating procedures and performs quality control checks to ensure procedures are followed.
  • Performs administrative/project management functions.
  • Communicate and assist in coordination of project timeline, process, and procedures.
  • Improve efficiencies, automation, and replication.

Knowledge, Skills, and Abilities:

  • Advanced data management skills (e.g. data extraction, transformation, data integrity, database design and planning (e.g. table structuring, one-to-many relationships) etc.)
  • Self-motivated, willing and able to take initiative.
  • Ability to work both independently and with a team.
  • High level of integrity, ethics, and professionalism.
  • Strong communication and computer skills.
  • Knowledge of advanced statistical methods (e.g. hierarchical linear modeling, structural equation modeling, factor analysis, cluster analysis, survival analysis, propensity score matching, etc.)
  • Skilled in analyzing and evaluating quantitative and qualitative data.
Minimum Qualifications
  • Master’s Degree required.
  • Minimum of 8 years of relevant work experience is required.
Preferred Qualifications
  • Experience with research methods and statistics (including multiple and logistic regression) and proficiency in applying knowledge to relational databases to analyze quantitative data
  • Prior experience in data science, learning analytics, data management, institutional research, assessment/evaluation, research, or analyses
  • Experience in statistical analysis (at least several types of regression) using syntax/coding, classification knowledge, and model development
  • Experience in querying data
  • Experience with statistical software packages, relational databases, and programming languages (particularly, R, SQL, Python, Excel, SPSS, STATA)
  • PhD in Quantitative field-Data/Learning Science, Institutional Research, Psychology, Education, or other research, statistics, programming degree
FLSA Exempt
Full Time/Part Time Full Time
Number of Hours Worked per Week 40
Job FTE 1
Work Calendar Fiscal
Job Category Research
Benefits Eligible Yes – Full Benefits
Rate of Pay $62,038 – $75,000
Compensation Type salary at 1.0 full-time equivalency (FTE)
Grade 10
Career Stream and Level PC4
Job Family Research & Data Analysis
Job Function Research
Type of criminal background check required: Name-based criminal background check (non-security sensitive)
Number of Vacancies 1
Target Hire Date
Expected End Date
Contact Information for Candidates Mikayla Michael-Morales
Open Date 3/23/2022
Open Until Filled Yes
Documents Needed to Apply Resume and Cover Letter
Special Instructions to Applicant
Diversity Statement At the University of Arizona, we value our inclusive climate because we know that diversity in experiences and perspectives is vital to advancing innovation, critical thinking, solving complex problems, and creating an inclusive academic community. As an Hispanic-serving institution, we translate these values into action by seeking individuals who have experience and expertise working with diverse students, colleagues, and constituencies. Because we seek a workforce with a wide range of perspectives and experiences, we provide equal employment opportunities to applicants and employees without regard to race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or genetic information. As an Employer of National Service, we also welcome alumni of AmeriCorps, Peace Corps, and other national service programs and others who will help us advance our Inclusive Excellence initiative aimed at creating a university that values student, staff and faculty engagement in addressing issues of diversity and inclusiveness.


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