Senior Research and Data Analyst (Data Scientist)

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• 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.

• Master’s Degree required.
• Minimum of 8 years of relevant work experience is required.

• 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