Business Intelligence and Analytics Manager ID-13421

April 30, 2025

About the Department:

University Life Project & Process Management provides project and process management support, guidance, and training to the Division of University Life. We seek to continuously improve the student and staff experience through a journey management approach. We do this by gathering insight, prioritizing opportunities, and providing project management for process redesign efforts.

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About the Position:

The Business Intelligence and Analytics Manager is a position within the Division of University Life (UL) and is part of the Project and Process Management unit responsible for supporting operational and planning functions through data analysis and reporting. This role plays a critical part in assessing University Life programs, services, and initiatives by producing both quantitative and qualitative reports that inform decision-making.

Reporting to the Director of UL Project and Process Management, the Business Intelligence and Analytics Manager is responsible for analyzing data from various sources, creating and tracking key metrics, and providing insight related to student service delivery and engagement. This position ensures that data-driven strategies guide operational decisions and actions within the division.

Responsibilities:

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.

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.

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