Senior Insights & Visualization Analyst

University of Colorado•Aurora, CO

1d•$68,531 - $87,171•Hybrid

About The Position

The Senior Insights & Visualization Analyst transforms complex institutional data into clear, compelling, and actionable insights for leaders across the University. This role supports the Data Analytics & Insights team, Budget, Planning & Campus Strategy Department, campus-wide Data Analytics Collaborative (DAC), and senior leadership with analytical storytelling, interactive dashboards, and insight-driven reporting. This position focuses on integrating information from multiple campus systems to create data products that illuminate trends, support strategic decisions, and improve operations. Success requires an ability to craft narratives from data, apply dashboard design best practices, and deliver polished results with creativity, precision, and attention to detail. It is a transformational time at the University of Colorado Anschutz, with strategic efforts to build on the strength of our university and the position of the campus for greater impact and visibility. The Data Analytics and Insights team has expanded opportunities for growth and change by investing in leadership to identify, design, and implement strategic initiatives that are critical to the future success of the campus.

Requirements

Bachelor’s degree and/or equivalent experience in a relevant subject area, such as Computer Science, Information Technology, Business Administration, Mathematics, Statistics, Economics, or Data Science.
At least (2) years of relevant experience creating dashboards or analytical reports in a multi-system environment.
Experience using BI tools such as Power BI and/or Tableau to develop data products used in organizational reporting or decision-making.
Advanced SQL skills, including writing complex queries, joins, and logic to shape and validate data.
Strong ability to tell stories with data, connecting analysis to real-world implications and decisions.
High level of creativity with a strong sense of design, user experience, and formatting precision.
Proficiency in data analysis and visualization tools like Power BI, Tableau, SQL, and Python.
Proficiency in statistical concepts and methodologies
Ability to present and summarize information clearly using charts, dashboards, narratives, and other data products.
Advanced analytical thinking and the ability to synthesize information from multiple data sources.
Attention to detail and a strong commitment to data integrity
Strong collaboration skills and ability to work effectively with partners of varying technical backgrounds.
Ability to manage multiple priorities, meet deadlines, and work independently on complex tasks.
Ability to quickly learn new tools, systems, and conceptual frameworks.
Excellent written, verbal, and presentation communication skills.

Nice To Haves

Master’s degree and/or equivalent experience in a relevant subject area, such as Computer Science, Information Technology, Business Administration, Mathematics, Statistics, Economics, or Data Science.
Experience working with enterprise systems such as PeopleSoft, Campus Solutions, Salesforce, or data warehouse environments.
Experience with Python, R, SAS, SPSS or similar tools

Responsibilities

Build interactive dashboards and insight-focused products in Power BI and/or Tableau that support strategic planning and executive decision-making.
Craft clear data stories that highlight context, trends, and implications for senior leaders.
Write complex SQL queries across enterprise data systems such as Oracle, MS SQL Server, and Snowflake, including tasks like joining large relational tables, building analytical queries (window functions, CTEs, subqueries), optimizing slow queries, and validating results for accuracy.
Work across diverse institutional content areas—including student and course records, HR, finance, and budget data—to integrate information, ensure consistency, and support cross-functional analysis.
Partner with stakeholders to interpret analytical findings, promote data literacy, and refine metrics or definitions.
Integrate and reconcile data across systems; recommend improvements to data quality, consistency, and governance
Document logic, methodology, and data lineage for dashboards and recurring reporting.
Troubleshoot and resolve complex data issues to ensure accuracy and reliability of delivered information.
Gather business requirements and translate them into effective data solutions aligned with institutional systems.
Continuously learn new tools, methods, and best practices for presenting information clearly and creatively.
Use Python or related tools to support data preparation or automation when beneficial.
Perform ad-hoc analysis as requested.