Data Analyst And Visualization Developer

4 settimane fa

Montà, Italia Association For Institutional Research A tempo pieno

eAIR is the newsletter of the Association for Institutional Research (AIR). From its start in October 1987 to today, eAIR remains one of the most important tools for providing news to the higher education community.
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Learn More Recent Discussions Listings Closing Soon 14538 Title : Data Analyst and Visualization Developer
Salary range low : 65000
Salary range high : 75000
Reports in office : Student Success Team
Reports to : Director of IR and Assessment
Number of staff reports : 0
City : REMOTE
State : DC
Institution : American Indian Higher Education Consortium
Meta Title : Data Analyst and Visualization Developer
Exclude salary : No
Please send a current CV and a cover letter describing your interest in and qualifications for this position. Please send materials to with the subject line Attn:Data Analyst and Visualization Developer The American Indian Higher Education Consortium's ( AIHEC ) vision is strong sovereign nations through excellence in tribal higher education. AIHEC is the collective spirit and unifying voice of our nation's Tribal Colleges and Universities (TCUs). AIHEC provides leadership and influences public policy on American Indian higher education issues through advocacy, research, and program initiatives; promotes and strengthens indigenous languages, cultures, communities, and tribal nations; and through its unique position, serves member institutions and emerging TCUs.
Essential Functions Supports the data collection systems, analytics, and reports for AIHEC Student Success Team. Serves as data liaison building relationships with both internal and external stakeholders to create and sustain a culture of data use that supports continuous improvement and the adoption of new data processes. Develops and manages survey tools. Supports developing, maintaining, and managing databases around TCUs (e.g., a database of TCU courses and degrees offered,) and work with other higher education databases (e.g., IPEDS, PDP, etc.), including data extraction, validation, and cleaning. Designs, codes, tests, and aggregates results from queries to generate complex analyses, reports, dashboards, and visualizations that support decision making and planning at all levels of the organization. Assures the accuracy and integrity of data. Prepares regular reports, dashboards, and visualizations for AIHEC Board meetings, congress, federal agencies, national organizations, and private-sector funding sources. Assists in support and training with end users to maximize their ability to use the decision support system and/or dashboards. Supports data analysis for Student Success research projects, program evaluation, and/or ad hoc requests from AIHEC business units. Conduct research and benchmarking studies to support institutional effectiveness, accreditation, and compliance requirements. Establish and maintain data governance policies, procedures, and best practices to ensure data integrity, security, and privacy compliance. Stay current with trends and best practices in higher education data analytics, data visualization, and institutional research. Offers ideas for new data processes based on research and learn up-to-date knowledge of the data science industry and related topics. Knowledge of higher education issues, as well as issues regarding research in American Indian/Alaskan Native (AI/AN) or other Indigenous communities and Tribal nations. Required Education and Experience (minimum qualifications): Must hold a Master's degree focused on data science, statistics, computer science, information systems, business analytics or business intelligence, or other related discipline. PhD degree preferred. At least three years of experience in higher education in an Institutional Research or Institutional Effectiveness office (or related work); Knowledge of federal higher education research, reporting instruments, and databases Strong oral and written communication skills essential. Commitment to ethical standards, integrity, and professionalism in institutional research activities and data analysis.

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