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Business Intelligence and Analytics Manager

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1 Vacancy
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Job Location drjobs

Fairfax, VA - USA

Monthly Salary drjobs

Not Disclosed

drjobs

Salary Not Disclosed

Vacancy

1 Vacancy

Job Description

Department: University Life

Classification: Info Technology Spec 2

Job Category:Classified Staff

Job Type:FullTime

Work Schedule:Fulltime (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

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.

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 decisionmaking.

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 datadriven 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 datadriven insights to inform decision making about resources services and programming.
  • Converts UL Senior Leaderships 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 indepth analysis of various datasets including institutional divisional and external databases to identify trends patterns and business opportunities.
  • Creates visually engaging and userfriendly 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 ongoing coaching feedback and mentorship to GPA; and
    • Participates in ULs Growth program.

Required Qualifications:

  • Bachelors 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:

  • Masters 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.

This position is not eligible for international visa sponsorship.

Instructions to Applicants:

For full consideration applicants must apply for theBusiness Intelligence and Analytics Manager at and submit the online application to include three professional references with contact information and provide a cover letter and resume.

Posting Open Date: April 29 2025

For Full Consideration Apply by: May 13 2025

Open Until Filled:Yes


Required Experience:

Manager

Employment Type

Full-Time

Company Industry

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