Senior Statistician

About the role

The Office of Institutional Research (OIR) provides information to support university decision-making through a variety of analytic activities, data-gathering tasks, and research projects. OIR serves as a clearinghouse for most statistical information about the University.

Responsibilities

• Conducts institutional research; analyzes internal and peer data to support the study of issues relevant to university policies.
• Manages process around creation of high value data products from complex, sensitive data sources.
• Accesses multiple University data sources: extracts, merges, and/or collects relevant data.
• Manages and transforms institutional/transactional data for analysis and reporting purposes; consistently strives toward a high level of data integrity.
• Acts as expert resource to colleagues within and outside of OIR to enhance quality of data and analysis across multiple teams.
• Prepares materials and clearly and effectively communicates information to internal and external audiences.
• Designs and generates summary analysis at the University level.
• Works collaboratively and independently to prepare data for submission to external data exchanges (e.g., IPEDS, AAUDE).
• Uses advanced statistical knowledge to provide support in managing and analyzing data.
• Provides analytic support to faculty and administrative committees and to University leadership.
• Prepares reports and presentations using both text and graphics.
• Develops protocols for survey-based collection of data, as needed. Designs data-gathering instruments and related procedures. Tests, refines and finalizes instruments for use in research studies.
• Stays abreast of relevant issues in higher education, as well as new tools or techniques that could be used to improve the collection, storage, or reporting of university data.
• Convenes analysts and other data colleagues in a community of practice to enhance data use and analytical skills across University units.

Requirements

• Advanced expertise in statistical methods and research design relevant to higher education, including causal inference and multivariate analysis; ability to select, apply, and validate methods and to clearly communicate assumptions, limitations, and valid interpretations to inform decision-making.
• Proficient in one or more programming languages for statistical analysis and data preparation (e.g., R or Python preferred; SAS, Stata, MATLAB).
• Proven ability to create large, complex data sets from disparate sources while managing data quality – both for statistical analysis and data management.
• Demonstrated skill in producing visualizations using coded processes (e.g., Tidyverse, Quarto, Shiny).
• Commitment to pairing effective data communication with rigorous research design and analysis.
• Excellent collaborative interpersonal skills with ability to translate technical information to non-technical audiences, interacting successfully with diverse stakeholders.
• Exercises sound judgment, tact, and discretion.
• Proven ability as trusted independent operator, handling multiple tasks to meet deadlines; ability to prioritize and follow through on projects.
• Ability to adapt to changes in work priorities, weighing multiple factors (e.g., mission, client goals, statistical rigor, research ethics, timeline), seeking alternatives and creative solutions.

Qualifications

• Master's Degree or higher in Biostatistics, Statistics, or a related quantitative field such as data science, social sciences, econometrics, public health, and computational sciences.

Skills

• Advanced expertise in statistical methods and research design relevant to higher education, including causal inference and multivariate analysis.
• Proficiency in one or more programming languages for statistical analysis and data preparation (e.g., R or Python preferred; SAS, Stata, MATLAB).
• Proven ability to create large, complex data sets from disparate sources while managing data quality – both for statistical analysis and data management.
• Demonstrated skill in producing visualizations using coded processes (e.g., Tidyverse, Quarto, Shiny).
• Commitment to pairing effective data communication with rigorous research design and analysis.
• Excellent collaborative interpersonal skills with ability to translate technical information to non-technical audiences, interacting successfully with diverse stakeholders.
• Exercises sound judgment, tact, and discretion.
• Proven ability as trusted independent operator, handling multiple tasks to meet deadlines; ability to prioritize and follow through on projects.
• Ability to adapt to changes in work priorities, weighing multiple factors (e.g., mission, client goals, statistical rigor, research ethics, timeline), seeking alternatives and creative solutions.

Benefits

N/A

Pay

$92,000.00 - $146,750.00

Schedule

Hybrid