10002632

Fairfax, VA

Classified Staff

Opening on: Apr 29 2025
Department: University Life
Classification: Info Technology Spec 2
Job Category: Classified Staff
Job Type: Full-Time
Work Schedule: Full-time (1.0 FTE, 40 hrs/wk)
Location: Fairfax, VA
Workplace Type: Hybrid Eligible
Pay Band: 05
Salary: Salary range starting $80k; commensurate with education and experience
Restricted: Yes
Criminal Background Check: Yes

REQUIRED QUALIFICATIONS:

• Bachelor’s degree in statistics, data sciences, computer science, public or business administration, or related field; or equivalent combination of education and experience;
• Demonstrated experience with data analysis, program evaluation, or research;
• Demonstrated experience with extracting data from multiple sources, merging that data, and finding and resolving inconsistencies;
• Demonstrated experience with performing data quality analysis on datasets and reports;
• Demonstrated experience with project management;
• Demonstrated experience with Banner, Salesforce, or other relational databases or CRMs;
• Demonstrated experience with BI visualization tools such as MicroStrategy or Tableau to build customized dashboards for use by both internal and external clients;
• Demonstrated experience with SQL, SAS, Python, R or similar programming languages for querying data sources, performing the appropriate analysis, and creating visualizations;
• Demonstrated Microsoft Excel skills;
• Demonstrated quantitative skills and attention to detail;
• Effective organizational, written and verbal communication skills; and
• Ability to communicate knowledge and ideas in a consultative matter to a variety of audiences including senior leadership.

PREFERRED QUALIFICATIONS:

• Master’s degree in related field; or equivalent combination of education and experience;
• Experience developing forecasting and tracking models that integrate a variety of statistical information;
• Experience typically obtained within 3+ years analyzing data, evaluating programs, or conducting research;
• Experience typically obtained within 3+ years extracting data from multiple sources, merging that data, and finding and resolving inconsistencies;
• Experience typically obtained within 3+ years performing data quality analysis on datasets and reports;
• Experience typically obtained within 3+ years using BI visualization tools such as MicroStrategy or Tableau to build customized dashboards for use by both internal and external clients;
• Experience working at a public institution of higher education;
• Demonstrated knowledge of SQL development;
• Demonstrated knowledge of strategic and enrollment management/modeling principles, methods, and practices;
• Demonstrated knowledge of predictive modeling, forecasting, and regression techniques using tools such as Python, R, SAS, SPSS, etc.; and
• Effective critical thinking and problem solving abilities.

• Supports University Life (UL) Senior Leadership with descriptive, diagnostic, predictive, and prescriptive data analysis, using institutional and divisional databases along with external data sources as appropriate to provide data-driven insights to inform decision making about resources, services, and programming.
• Converts UL Senior Leadership’s business questions into data queries.
• Partners with key Mason units, including Enrollment Management Business Intelligence and Analytics team and the Office of Institutional Effectiveness and Planning.
• Conducts in-depth analysis of various datasets, including institutional, divisional, and external databases, to identify trends, patterns, and business opportunities.
• Creates visually engaging and user-friendly reports and dashboards that communicate key business metrics and performance indicators.
• Supports UL customer journey management.
• In collaboration with UL Project and Process Management (PPM) team and service providers:
• Conducts quarterly, semesterly, or annual quantitative data analysis for prioritized UL journeys;
• Prepares clear and concise reports to communicate findings and recommendations to improve the student and staff experience; and
• Presents findings to stakeholders.
• Identifies and resolves data quality issues.
• In collaboration with UL units:
• Performs data analysis discovery work and assesses data quality;
• Develops actionable recommendations to improve data quality; and
• Establishes a process for sustainable comparative data analysis work.
• Supports strategic initiatives:
• Serves on task forces, standing committees, or other divisional activities; and
• Addresses a specific issue or opportunity by contributing data analytics expertise.
• Supervision of the Graduate Professional Assistant (GPA) in data analysis:
• Handles GPA recruitment and supervision;
• Assigns tasks, provides on-going coaching, feedback, and mentorship to GPA; and
• Participates in UL’s Growth program.