Data Specialist II
Position Summary The Data Specialist II at Doane University is responsible for supporting the institution’s data-driven decision-making processes by providing actionable insights through data analysis, data governance, and reporting. This role requires a combination of strategic thinking and hands-on technical expertise in analytics tools. The position plays a critical role in advancing the institution’s data maturity model by developing data models, creating reports, and ensuring data quality across systems, especially in Salesforce. The position will work closely with institutional leadership to provide data insights that support operational and business changes, while also alleviating reporting burdens from database administrators. This position is funded by a Title III Strengthening Institutions Program Grant and offers a unique opportunity to impact how we support students from enrollment through graduation and into their careers. Given the nature of grant funding, employment is contingent on the continued availability of external funding. View full position and funding description Doane University actively works to create and sustain a welcoming learning community for all members to fulfill their potential, feel valued, and make meaningful contributions to the University. Doane University is an equal-opportunity employer and seeks candidates who reflect the diversity of our society. Applicants must be currently authorized to work in the United States on a full-time basis. Doane University does not provide employment visa sponsorship for this position.
Preferred Qualifications
A master’s degree/equivalent experience will be considered. Experience in higher education or a similar institutional environment. Experience with advanced statistical analysis and predictive modeling. Experience with student retention tools (Salesforce CRM ) is a plus. Experience with cloud-based data platforms. Familiarity with SQL and database query languages. Knowledge of institutional data governance frameworks and practices. Familiarity with Power BI and Databricks