Senior Data Solutions Analyst

Role Overview

• Designs and supports the business intelligence (BI) applications and architecture to maximize data availability and accuracy.
• Partners with various stakeholders to deliver trusted data products.
• Defines and documents the technical architecture of Power BI semantic models.
• Provides guidance and integration for BI products and services.
• Participates in the delivery of key business objectives regarding information access and reporting.
• Works with business analysts and developers to execute projects.
• Designs scalable ELT processes and semantic models using SQL.
• Facilitates discovery sessions with academic leaders to clarify requirements and define metrics.
• Delivers audience-appropriate briefings and creates training materials for self-service adoption.
• Evaluates new data sources for quality standards and integration ease.
• Reviews and suggests improvements to the data architecture processes and vision.
• Pilots and evaluates new features to enhance productivity and insight quality.
• Explores new technologies and stays updated on vendor capabilities.

Requirements

• 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.

Tech Stack

• Python
• Scikit-Learn
• SQL

Benefits

• Health insurance
• 401(k)
• Paid time off