The Data Scientist/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; retirement plans; access to UA recreation and cultural activities; and more!
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Duties and Responsibilities:
Statistical Programming and Analysis
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.
Data Management and Validation
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.)
Data Visualization, Reporting, and Research Writing
Develops oral and written reports and visual representations
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
Project/Research Design and Methodology
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
Project Management
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:
Self-motivated, willing and able take initiative
Ability to work both independently and with a team
High level of integrity, ethics, and professionalism
Strong communication and computer skills
Ability to clean, test, and validate messy data
Skilled in analyzing and evaluating quantitative and qualitative data
Advanced statistical methods (e.g. hierarchical linear modeling, structural equation modeling, factor analysis, cluster analysis, survival analysis, propensity score matching, etc.)
Advanced data management skills
Proficiency in statistical analysis
Proficiency in querying data
Proficiency in statistical software packages, relational databases, and programming languages (particularly, R, SQL, Python, Excel, SPSS, STATA)
Advanced data management skills (e.g. data extraction, transformation, data integrity, database design and planning (e.g. table structuring, one-to-many relationships) etc.)
Proficiency in statistical analysis (at least several types of regression) using syntax/coding, classification knowledge, and model development
Proficiency in querying data
Proficiency in statistical software packages, relational databases, and programming languages (particularly, R, SQL, Python)
Minimum Qualifications
Master’s Degree required.
Minimum of 8 years of relevant work experience, or equivalent combination of education and work experience.
Preferred Qualifications
Coursework including quantitative research design and methodology 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
Bachelor’s Degree in Quantitative field (Data Analytics, MIS, Statistics or other statistical/programming degree)
