Reporting to the Director of Institutional Effectiveness, the Research Data Analyst provides foundational expertise in research data management, analysis, and methodology needed for supporting The King’s University’s assessment and research projects, data collection, and decision-support services. The person in the position will combine a passion for research design with experience in managing and improving quantitative data assets and processes.
RESPONSIBILITIES
The essential functions, pursuant to the Americans with Disabilities Act, may include the characteristic duties and responsibilities noted herein, however, this list represents examples only, and is not a comprehensive listing of all functions and tasks performed by positions found in this job description.
Position Specific Responsibilities
Advises and supports the development of analysis plans for institutional studies and other data collection efforts; proposes additional data sources (e.g., IPEDS) to augment analyses.
Leads the development and routine maintenance of standards for institutional survey design and sampling.
Reviews and contributes to online survey programming. Supports the technical development of data collection tools, including the use of customized code for supporting special online survey requirements.
Collaborates with the Data Governance Team to develop and maintain standards for data quality; identifies, proposes, and implements improvements to data cleaning and preparation procedures.
Leads effort to automate data analysis needs in support of templated research products and services.
Collaborates on the development of interactive data visualization, self-service reports, and dashboards that give both internal and external end-users the ability to analyze, communicate, monitor, and plan for the future.
Advises on dataset formatting and needs, as well as data integration needs.
Reviews institutional products and publications for appropriate analyses and statistical content, including review of infographics and data visuals.
Respond to and prepares deliverables for ad hoc analysis requests from internal and external customers.
Manage the budget and ensure effective use of fiscal resources.
Identify and recommend policies and procedures related to the research practices of the University; plan and implement new operating procedures and technology to advance and improve service quality and efficiency of service delivery.
Perform other related duties as assigned and participate in special projects as assigned.
University-Wide Responsibilities
Model core organizational beliefs and values; communicate openly and effectively within and across departments. Establish and maintain professional communication and ensure that all interactions are supportive, courteous, and respectful (TKU Social Covenant).
Utilize effective communication skills to present information accurately and clearly both internally and publicly.
Participate in professional development activities that are aligned with university, departmental and individual goals.
Maintain accurate and complete records as required by governing entities (DOE, TRACS, ABHE, etc.); file all physical and computerized reports, records, and other documents required.
Attend and participate in staff meetings and serve on committees as required.
Comply with all policies, operating procedures, legal requirements, and verbal and written directives.
Perform other related duties as assigned.
QUALIFICATIONS
Education:
Bachelor’s degree in statistics, biostatistics, economics, computer science, mathematics, or related field or bachelor’s with equivalent experience.
Master’s degree preferred.
Experience:
2-3 years experience in higher education.
Experience with data visualization platforms (e.g., Tableau, Microsoft BI).
Experience and use of computer software packages commonly used in survey research (e.g., Survey Monkey, Alchemer).
Proficient with standard statistical techniques such as linear regression models, linear mixed models, clustering, m factor analysis, time-service models, and power/sample size estimation, data mining. 3-5 Years preferred.
Experience with statistical packages (e.g., SPSS, SAS) is preferred.
Experience with course evaluation packages (e.g., CoursEval, Watermark's Course Evaluations and Surveys) is preferred.
