Job Summary
The
Office of Information Technology encourages applications
for a
Senior Data Visualization Specialist! This
position is responsible for serving as the technical resource for
Data Visualization and primary Tableau administrator for D&A,
providing subject matter expertise in Data Visualization
methodologies, performing data manipulation & analysis, and
creating data products, reports and dashboards. This role works
directly with the Assistant Director of Data Experience and
Visualization in the Data & Analytics (D&A) division to
improve how institutional data is accessed, understood, and used
across CU Boulder.
As a senior professional-level position, the incumbent is expected
to apply deep understanding of theory and practice to define and
tackle problems of a significant scope and complexity, often with
non-standard solutions. The incumbent is expected to perform work
independently and serve as a resource to other D&A team
members. The incumbent will also be expected to communicate complex
concepts to individuals outside of the Data & Analytics
division.
CU is an Equal Opportunity Employer and complies with all
applicable federal, state, and local laws governing
nondiscrimination in employment. We are committed to creating a
workplace where all individuals are treated with respect and
dignity, and we encourage individuals from all backgrounds to
apply, including protected veterans and individuals with
disabilities.
Who We Are
Vision:
- OIT will be valued by campus as a strategic, inclusive and
innovative partner in advancing learning and discovery in order to
enable CU Boulder to be an outstanding public university.
Mission:
- OIT enables campus priorities by providing high-value IT
services and solutions.
Values:
- Trust, as a foundation for how we engage with one another and
with campus partners, along with
- Curiosity in how to better support the campus and our partner’s
while
- Encouraging empowerment and authentic engagement among
ourselves and
- Celebrating a culture that promotes a sense of belonging while
acknowledging that each person is unique and valued.
Strategy:
- OIT will advance learning and discovery by delivering
high-value reliable IT services and solutions that:
- Provide a fluid and adaptable academic and student
experience
- Enable research competitiveness and
- Deliver core infrastructure and enterprise IT services for
business efficiency.
What Your Key Responsibilities Will Be
Data Visualization & Business
Intelligence
- In partnership with the Assistant Director, establish,
maintain, and promote enterprise standards and shared expectations
for data visualization and business intelligence products,
including design principles, accessibility, documentation, quality
assurance, governance, and lifecycle management practices to ensure
consistency, usability, and trust in analytic outputs across
D&A teams.
- Collaborate with supervisory and technical leads to provide
consultation, guidance, and enablement to D&A staff and campus
partners on data visualization strategy, dashboard design, Tableau
development standards, and BI guidelines.
- Serve as the D&A Tableau Administrator, supervising
Boulder-campus platform governance and administration, including
licensing, permissions, security, site management, audits, usage
monitoring, performance optimization, documentation, campus partner
outreach, and support for Tableau Server/Cloud operations and
maintenance, in collaboration with D&A leadership, their
supervisor, and the CU UIS Data & BI team. Additionally,
adheres to Service Management responsibilities per D&A
guidelines for administration of D&A Tableau.
- Lead governance and lifecycle management processes for
analytics assets, including intake, prioritization, development
oversight, testing and QA, deployment, maintenance, enhancement,
archival, and retirement of dashboards, reports, and certified data
sources.
- Promote adoption of visualization and reporting standards
through training, documentation, peer review, and continuous
improvement initiatives supporting scalable and sustainable
analytics practices.
Create Data Products, Reports, and Dashboards
- Create, maintain, and automate accessible and informative
reports (e.g., written reports, data visualizations, and
dashboards) that present and synthesize results for campus
partners.
- Design and refine dashboards and data visualizations, including
highly complex projects, to address campus partner needs.
- Fulfill ad hoc data requests for data sets, analysis,
aggregation, and synthesis.
- Effectively communicate analytic methods and results to campus
partners, through reports, data products, emails, and/or
presentations, including—as assigned—leading or independently
conducting meetings with campus partners.
Data Manipulation and Analysis
- With the support of supervisor, project lead, and/or D&A
leadership, engage with relevant campus partners and the D&A
leadership team to identify business requirements related to
requests, projects and services.
- Identify, review, arrange, and collect data to meet project
specifications and minimize the limitations of subsequent analyses
and reports.
- Curate appropriate data sets to optimize sustainable analytics,
reports, and/or data products.
- Recommend and use appropriate quantitative and qualitative
methods (e.g. descriptive and exploratory data analysis, advanced
statistical analysis, predictive modeling, causal and quasi-causal
analysis, natural language processing, and/or survey methods) to
meet campus partners’ needs.
- Evaluate the accuracy and effectiveness of data products,
analyses, data models, reports and dashboards to ensure continuous
improvement of the data services and products provided by
D&A.
- Effectively document code, analytic methods, data sources, and
project specs and statuses in the appropriate repository (e.g.,
GitHub, Atlassian, etc).
- Through the completion of data requests, projects and
identified problems:
- Evaluate data assets to understand how existing internal and
external data can inform decision-making or improve processes.
- Maintain a data governance and security outlook: use
appropriate documentation, controls, levels of security, and
approvals on data sets, reports, and other products.
- Collaborate with data engineers to request and improve data
pipelines and create integrity checks that assure accuracy and
completeness of data sets
Professional Development
- Maintain proficiency, deepen, and acquire new knowledge in data
visualization, data practices, and user experience design, writing,
research, etc.
- Know the latest on procedures and standards related to web and
data accessibility, sharing relevant guidance and insights with
colleagues as appropriate.
What You Should Know
- This role is in a hybrid work situation, coming on-site
monthly.
- Visa sponsorship is not available for this position.
What We Can Offer
- The annual salary range is $90,400 - $99,460.
Benefits
At the
University of Colorado Boulder , we are
committed to supporting the holistic health and well-being of our
employees. Our comprehensive
benefits package includes medical,
dental, and retirement plans; generous paid time off; tuition
assistance for you and your dependents; and an ECO Pass for local
transit. As one of Boulder County’s largest employers, CU Boulder
offers an inspiring academic community and access to world-class
outdoor recreation. Explore additional perks and programs through
the
CU Advantage program.
Be Statements
Be challenged. Be visionary. Be Boulder.
What We Require
- A bachelor’s degree from an accredited institution in
information science, user experience, communications, computer
science, data science, psychology, social sciences, or related
field. A combination of education and relevant experience as
described below may be substituted for the degree on a
year-for-year basis.
- 3 years of experience doing the following:
- Mastery in using Tableau or other data visualization tools for
data visualization;
- Proficiency in Tableau Administration (licensing, permissions,
security, site management, audits, usage monitoring, performance
optimization, and support for Tableau Server/Cloud operations and
maintenance) or similar tool.
- Developing research questions and methodologies, curating data
sets, conducting analyses, and building data tools and products,
and;
- Using reproducible data analytics workflows;
- Proficiency in using SQL, Python, R, and/or SAS for data
queries, data manipulation, and analysis.
What You Will Need
- An intellectual curiosity about higher education and how data
analytics can advance the university’s mission.
- Skilled in working directly with customers to understand their
requirements and translate their needs into data analysis problems
and products.
- Strong written and verbal communication skills, with the
ability to clearly communicate technical concepts to non-technical
audiences.
- Proficient in data preparation and processing (e.g., automating
data cleaning and integrity testing), with the ability to work with
structured and unstructured data and wrangle data in SQL and
Python/R.
- Proficiency with a selection of applied statistics or
behavioral analyses such as descriptive and exploratory data
analysis, advanced statistical analysis, predictive modeling,
causal and quasi-causal analysis, and/or natural language
processing.
- Skilled in writing reports that highlight and explain
conclusions from data analysis.
- Knowledge of data visualization standard methodologies and
skilled at applying these practices to create accessible and
informative figures, charts, and dashboards.
- Experience and proficiency documenting project plans and
specifications, code, data sources, research methods, and
analysis.
- Demonstrated proactive work style and creative problem-solving
skills.
- Manage multiple projects and prioritize them
appropriately.
- Attentive to details, quality, and follow-through with a
commitment to continuous improvement.
- Demonstrated ability in and desire to stay ahead of emerging
technologies and adapting to new technologies and tools.
- Demonstrated organizational skills in handling, directing, and
prioritizing multiple and complex assignments and projects.
- Able to work independently, and in collaborative environments
and contribute to a positive work culture.
- Commitment to act in alignment with OIT, the campus and the
university's values.
What We Would Like You to Have
- A Master’s or Doctoral Degree from an accredited university in
information science, user experience, communications, computer
science, data science, psychology, social sciences, or related
field.
- 6 years of experience doing the following:
- Expert experience using Tableau or other data visualization
tools to support data informed decision-making;
- Mastery in Tableau Administration (licensing, permissions,
security, site management, audits, usage monitoring, performance
optimization, and support for Tableau Server/Cloud operations and
maintenance);
- Using reproducible data analytics workflows, including
version-controlled codebases in GitHub or similar;
- Proficiency in using Python/R and/or SQL for data queries,
manipulation, and analysis;
- Mastery in multiple applied statistical methodologies or
machine learning techniques;
- Experience with cloud computing environments and data
infrastructure;
- Experience working in a higher education setting, especially
with institutional data, such as in an Institutional Research (IR)
unit or other data-related role;
- Developing research questions and methodologies, curating data
sets, conducting analyses, producing data reports and dashboards,
and building data tools and products.
Special Instructions
To apply, please submit the following materials:
- A current resume.
- A cover letter that specifically tells us how your background
and experience align with the requirements, qualifications, and
responsibilities of the position.
We may request references at a later time.
Please apply by
September 13, 2026, for consideration.
Note: Application materials will not be accepted via email. For
consideration, please apply through
CU Boulder Jobs .
In compliance with the Colorado Job Application Fairness Act, in
any materials you submit, you may redact or remove age-identifying
information such as age, date of birth, or dates of school
attendance or graduation. You will not be penalized for redacting
or removing this information.
Posting Contact Information
Posting Contact Name: Boulder Campus Human Resources
Posting Contact Email: Recruiting@colorado.edu
