University of Miami · 6 hours ago
Sr. Data Solutions Analyst
Coral Gables, FL
Full-time
Onsite
Senior Level
6+ years expThe University of Miami is a premier research institution and academic health system, seeking a Full-Time Sr. Data Solutions Analyst. The role involves designing and building relational databases, developing strategies for data warehouse implementation, and collaborating with various stakeholders to execute project tasks and enhance business intelligence capabilities.
Higher Education
Responsibilities
Defines and documents the technical architecture of Power BI semantic models and objects created in collaboration with the data warehouse. Provides guidance and integration for BI products and services
Participates in the delivery of numerous key business objectives, including ease of information access, and regulatory and enterprise reporting
Works with business and system analysts, business and technical data users, data warehouse and system design developers, ETL developers, and other stakeholders to execute project tasks
Design scalable ELT processes and semantic models using SQL (views, stored procedures, window functions) and best-practice star/snowflake schemas
Translates business requirements into technical designs to meet business criteria for successful BI implementations
Facilitate discovery sessions with academic leaders to clarify requirements, define metrics, and align visualizations to strategic decisions
Deliver clear, audience-appropriate briefings, data stories, and decision memos; create training assets (how-to guides, SOPs, data dictionaries) for self-service adoption
Evaluates new data sources for adherence to the organization's quality standards and ease of integration
Translate complex statistical/machine learning results into plain language, with transparent limitations and confidence intervals
Reviews and suggests improvement to the data architecture processes, policies, and vision
Pilot and evaluate new features (e.g., Power BI Copilot, Fabric experiences, parameterized notebooks) to enhance productivity and insight quality
Explores new and emerging technologies and stays current on the capabilities of vendor products
Adheres to University and unit-level policies and procedures and safeguards University assets
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
Qualification
Required
Bachelor's degree in relevant field required
Minimum 6 years of relevant experience required
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)
Advanced proficiency in: Power BI (data modeling, DAX, RLS, incremental refresh, bookmarks, deployment pipelines)
Advanced proficiency in: 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
Preferred
Higher Education experience preferred
PL-300 – Power BI Data Analyst, Microsoft Fabric certifications, etc
Company
University of Miami
At UM you'll join a diverse and energized academic community.
5001-10000 employees
H1B Sponsorship
University of Miami has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (208)
2024 (151)
2023 (149)
2022 (121)
2021 (95)
2020 (114)
Funding
Current Stage
Late StageLeadership Team
Albertie Regalado
'Canes Science Bowl — Co-Founder and Co-President
Mark McPheron, FALU, CLU, FLMI
Co-Founder and Past President, and current member, University of Miami Cincinnati 'Canes Community
Recent News
Seattle TechFlash
2023-11-22
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