Student Success Data Analyst

University of Missouri-Saint Louis
parental leave, paid time off
United States, Missouri, St. Louis
Nov 11, 2024
Apply for Job Job ID 53547 Location St. Louis Full/Part Time Full-Time Add to Favorite Jobs Email this Job Hiring Department VC Academic Affairs Job Description A data analyst who partners with stakeholders and colleagues to evaluate and define goals and design, develop, and deploy models and reports that provide actionable insight into student success. Job Description We are seeking a Student Success Data Analyst to partner with academic affairs and college leadership to understand our analytical needs and to design, develop, and deploy models and reports that provide insight into academic assessments related to student success. You will have experience in dataset preparation, exploratory data analysis, statistical analysis, predictive model design and development, data visualization, and delivering results to a variety of stakeholders. In addition, our ideal candidate has experience working within the education or edtech industry. Responsibilities Communicate with stakeholders to determine institutional goals, and design analyses and data visualizations to provide insight to complex student success challenges Conduct exploratory data analysis in collaboration with subject matter experts to build and validate analytical datasets Build predictive data models (regression, decision trees, neural networks, etc.) to generate scores and forecasts Communicate predictive model results and applications to end-users at college Collaborate with teams to build data pipelines and deploy models to a production environment for operational use Applicants must be authorized to work in the United States. The University will not sponsor applicants for this position for employment visas. Shift 40 hours per week Minimum Qualifications Bachelor's degree or an equivalent combination of education and relevant experience and at least 2 years of experience from which comparable knowledge and skills can be acquired is necessary Preferred Qualifications Master's degree in an analytical/quantitative field such as Data Science, Statistics, etc. 3+ years of experience working in data analytics Ability to conduct, interpret, and explain statistical analyses Experience using interactive data visualization tools to enable data exploration and communicate results of data analysis Strong understanding of relational database and data warehouse concepts Excellent communication and collaboration skills, and experience presenting findings to decision-makers Ability to work effectively and independently, managing multiple priorities and meeting deliverable deadlines Strong written and verbal communication skill Experience building and evaluating machine/predictive learning models. Experience working in a Higher Education institution or EdTech company with a focus on student success. Analytical dataset design and preparation skills (SAS, SQL, R, Apache, or Python) Experience working across multiple systems - Cognos, Starfish, and PeopleSoft Experience working with both business users and technical development team Anticipated Hiring Range Pay commensurate with education and experience. Hiring Range: $58,573 - $83,304 Annual Grade: GGS-11 University Title: Data Analyst I Application Materials Application materials include a cover letter and resume. Finalists will be asked to provide references at a later date. Applicants must combine all application materials into one PDF or Microsoft Word document and upload as a resume attachment to the UMSL Job site: http://umsl.jobs. Limit document name to 50 characters. Maximum size limit is 11MB. Do not include special characters (e.g., /, &, %, etc.). For questions about the application process, please email employment@umsl.edu. If you are experiencing technical problems, please email umpshrsupport@umsystem.edu. Benefit Eligibility This position is eligible for University benefits. As part of your total compensation, the University offers a comprehensive benefits package, including medical, dental and vision plans, retirement, paid time off, short- and long-term disability, paid parental leave, paid caregiver leave, and educational fee discounts for all four UM System campuses. For additional information on University benefits, please visit the Faculty & Staff Benefits website at https://www.umsystem.edu/totalrewards/benefits. Values Commitment We value the uniqueness of every individual and strive to ensure each person's success. Contributions from individuals with diverse backgrounds, experiences and perspectives promote intellectual pluralism and enable us to achieve the excellence that we seek in learning, research and engagement. This commitment makes our university a better place to work, learn and innovate. In your application materials, please discuss your experiences and expertise that support these values and enrich our missions of teaching, research, and engagement. Equal Employment Opportunity The University of Missouri System is an Equal Opportunity Employer. Equal Opportunity is and shall be provided for all employees and applicants for employment on the basis of their demonstrated ability and competence without unlawful discrimination on the basis of their race, color, national origin, ancestry, religion, sex, pregnancy, sexual orientation, gender identity, gender expression, age, disability, or protected veteran status, or any other status protected by applicable state or federal law. This policy applies to all employment decisions including, but not limited to, recruiting, hiring, training, promotions, pay practices, benefits, disciplinary actions and terminations. For more information, visit https://www.umsystem.edu/ums/hr/eeo or call the Director of Employee and Labor Relations at 573-882-2146. To request ADA accommodations, please email the Office of Human Resources at umslhr@umsl.edu.