Senior Data Science and Analysis Professional

Summary

Job Summary

The Office of Information Technology at CU Boulder encourages applications for a Senior Data Science and Analysis Professional! This role works closely with the Head of Institutional Reporting in the Data & Analytics (D&A) division of the Office of Information Technology. This position is responsible for providing expertise in one or more Institutional Reporting domains, performing data manipulation & analysis, and creating data products, reports and dashboards.

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 sophisticated concepts to individuals outside of the Data & Analytics division.

The University of Colorado Boulder is committed to building a culturally diverse community of faculty, staff, and students dedicated to contributing to an inclusive campus environment. We are an Equal Opportunity employer, including veterans and individuals with disabilities.

Vision

Who We Are

• Office Information Technology 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 a premier public university.
  
  

Mission

• Office Information Technology 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
• Avid curiosity in how to better support the campus and our stakeholder’s while
• Fostering empowerment and authentic engagement among ourselves and
• Celebrating inclusivity that promotes a sense of belonging while acknowledging that each person is unique and valued.
  
  

Strategy

• Office Information Technology 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 effectiveness.
  

Based on our departmental goals and our commitment to diversity and inclusive excellence, CIO Information Technology particularly welcomes applications from candidates whose knowledge, skills, and abilities, and desire to contribute to an inclusive campus environment, will help us achieve our vision of a diverse and inclusive community.

Responsibilities

What Your Key Responsibilities Will Be

Data Manipulation and Analysis

• 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 advise decision-making or improve processes,
• Maintain a data governance and security approach: 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
  
  

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.
• Create data products (e.g., datasets, data dashboards, machine learning models) that meet campus partner needs.
• Fulfill ad hoc data requests for data sets, analysis, aggregation, and synthesis, and Effectively communicate analytic methods and results to campus partner.
  
  

Specific Analytics Focus Area Work

Institutional Reporting

• Provide domain expertise in one or more IR domains (e.g., federal and/or state reporting, institutional data in higher education, peer comparisons, national data collections), serving as a resource to other staff in D&A.
• Use and refine processes for data validation, documentation, and project management of institutional reporting, contributing to office-wide knowledge of institutional data, and consistency and accuracy of reporting.
• Ensure compliance with regulatory or accreditation-driven (or other reporting) mandates by understanding reporting requirements, supervising data quality, and adhering to reporting timelines.
  
  

What You Should Know

• This position is in a hybrid work situation. This position may be expected to come on-site 1 - 4 times per month and at the discretion of the supervisor.
  
  

What We Can Offer

• The annual hiring range for this position is $88,638-$99,746.
  
  

Benefits

The University of Colorado offers excellent benefits , including medical, dental, retirement, paid time off, tuition benefit and ECO Pass. The University of Colorado Boulder is one of the largest employers in Boulder County and offers an inspiring higher education environment. Learn more about the University of Colorado Boulder .

Be Statements

Be driven. Be fun. Be Boulder.

What We Require

A bachelor’s degree from an accredited institution in applied math, statistics, computer science, data science, 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 Year(s) Of Professional Experience Which Includes

• Developing research questions and methodologies, curating data sets, conducting analyses, and building data tools and products, and
• Using reproducible data analytics workflows, including version-controlled codebases in GitHub or similar
• Proficiency in using SQL and SAS, and experience using Python or R, for data queries, data manipulation, and analysis
• Proficiency in using Tableau or other data visualization tool for data visualization
  
  

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 processes 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,
• Proven 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 know the latest in emerging technologies and adapting to new technologies and tools
• Proven 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, and
• 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 applied math, data science, statistics, computer science, or related field.
• 6 year(s) of professional experience which includes:
• Developing research questions and methodologies, curating data sets, conducting analyses, producing data reports and dashboards, and building data tools and products, and
• Using reproducible data analytics workflows, including version-controlled codebases in GitHub or similar
• Proficiency using SAS for data queries, manipulation, and analysis
• Mastery in using Python/R and 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, and
• Mastery with Tableau.
• Experience working in a higher education setting, especially with institutional data, such as in an Institutional Research (IR) unit or other data-related role
  
  

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 March 24, 2025 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.