R100093980 Sr. Data Solutions Analyst
Application Procedure:
Job Duties
Lead end-to-end analytics initiatives for Provost priorities (e.g., student persistence/retention, time-to-degree, course demand forecasting, classroom utilization, etc.).
Build predictive and prescriptive models (e.g., risk scoring, enrollment forecasting, course section optimization) using R/Python; translate outputs into decision-ready visuals in Power BI.
Develop advanced semantic models to support executive dashboards and KPI scorecards with robust DAX measures.
Developing data products to support enterprise KPI tracking for strategic projects.
Lead initiatives to support self service analytics within the office of the provost to enhance operational efficiency.
Support IRSA’s goals of sourcing all key data from the data warehouse.
Job Qualifications
Bachelor’s degree in relevant field required
Minimum 6 years of relevant experience required
Higher Education experience preferred
PL-300 – Power BI Data Analyst, Microsoft Fabric certifications, etc.
Skill in completing assignments accurately and with attention to detail.
Ability to analyze, organize and prioritize work under pressure while meeting deadlines.
Ability to process and handle confidential information with discretion.
Ability to work evenings, nights, and weekends as necessary.
Commitment to the University’s core values.
Ability to work independently and/or in a collaborative environment.
Learning Agility: Ability to learn new procedures, technologies, and protocols, and adapt to changing priorities and work demands.
Teamwork: Ability to work collaboratively with others and contribute to a team environment.
Technical Proficiency: Skilled in using office software, technology, and relevant computer applications.
Advanced proficiency in:
SQL (CTEs, window functions, dynamic SQL, performance optimization).
Power BI (data modeling, DAX, RLS, incremental refresh, bookmarks, deployment pipelines).
R/Python (tidyverse/scikit-learn, feature engineering, model evaluation, reproducible workflows)
Communication: Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders.
Strong communication and data storytelling skills; proven ability to interact with senior academic leadership.
Experience translating policy and academic priorities into metrics, dashboards, and operational processes.
Institution Description
Benefits
The University of Miami offers competitive salaries and a comprehensive benefits package including medical, dental, tuition remission and more.
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