Senior Business Intelligence and Data Analyst

Edtech.com's Summary

Marshall University is hiring a Senior Business Intelligence and Data Analyst. This role involves designing scalable data models, developing predictive analytics, creating business intelligence dashboards, and supporting federal and state reporting to aid strategic decision-making. The analyst will collaborate with the Institutional Research and Planning team and other university departments to deliver actionable data insights.

Highlights

Design and maintain scalable data models and reporting structures.
Develop and refine predictive and forecasting models related to enrollment, retention, and financial planning.
Create enterprise dashboards and analytical reports using Power BI and develop DAX measures.
Optimize SQL queries within Oracle relational database environments.
Extract, transform, and analyze data from Banner or similar enterprise systems.
Support preparation and validation of IPEDS and other compliance reporting.
Contribute to data governance initiatives ensuring data accuracy, integrity, and consistency.
Bachelor’s degree required in a quantitative, analytical, or technical field.
Minimum 2 years of experience in business intelligence, analytics, or institutional research with proficiency in SQL and business intelligence platforms.
Salary range of $60,441 to $78,574, commensurate with experience and education.

Senior Business Intelligence and Data Analyst Full Description

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Position Details

Get to Know Us!

Marshall University is a public comprehensive university with a rich history as one of the oldest institutions of higher learning in West Virginia. Founded in 1837 and named after Chief Justice John Marshall, definer of the Constitution, Marshall University advances the public good through innovative, accredited educational programs. We are located in downtown Huntington, West Virginia, with additional locations in South Charleston, Point Pleasant, Teays Valley and Beckley. Marshall University’s mission, inspired by our Vision and Creed, includes a commitment to:

Offer a wide range of high quality, affordable, and accessible undergraduate, graduate, and professional education that prepares students to think, learn, work, and live in an evolving global society.
Create opportunities and experiences to foster understanding and appreciation of the rich diversity of thought and culture.
Maintain a dynamic intellectual, artistic, and cultural life by promoting and supporting research and creative activities by undergraduates, graduates, and faculty.
Contribute to the quality of life of the community, region, and beyond through applied research, economic development, health care, and cultural enrichment.
Cultivate the development of an inclusive, just, and equitable community.

Come Meet Marshall and discover what it means to be part of the Marshall University family!

Come join our Herd!

We are committed to attracting and retaining quality faculty and staff. In doing so, Marshall University offers outstanding benefit packages to eligible employees only. (E-Class in the job posting). Marshall University Research Corporation (MURC) employees have different benefit options than those listed below.

Work week is 37.5 hrs.
A great highlight in December is that Marshall University employees receive almost two weeks off for Winter Break!
Holidays – Employees receive 13 Paid Holidays
Annual and Sick Leave – Classified Staff, Non-Classified Staff and 12-month Faculty earn up to 24 days of annual leave per year (max 360 hours) and up to 18 days of sick leave per year. ) Employee Leave
Health Insurance – Marshall University offers health insurance through West Virginia Public Employees Insurance Agency (PEIA). There are seven (7) health benefit plans.
Educational/Tuition Benefits – Marshall University provides tuition benefits to regular employees (after probationary period) and their dependent children.
Retirement Plans – Marshall University offers retirement through Teachers Insurance and Annuity Association (TIAA). Full-time benefits eligible employees must participate in the mandated retirement plan (401(a)).
Life Insurance – Basic term life insurance ($10,000) at no cost and may purchase optional life insurance coverage with pre-tax earnings.
Wellness Programs – PEIA provides various care management programs and the Pathways to Wellness program.

We are . . . Marshall!

Position Information

Position Title	Senior Business Intelligence and Data Analyst
Banner Position Number	001046
E-Class	NC - Nonclassified - .53 or >
Department	Institutional Research & Planning - MU2040
Job Description	Marshall University is seeking a skilled Business Intelligence and Data Analyst to join our Institutional Research team. This role is pivotal in supporting the university’s strategic decision-making processes by providing actionable insights from data. The ideal candidate will have a strong foundation in data analysis, business intelligence tools, and a passion for transforming data into meaningful narratives that aid in institutional planning and policy formulation. The successful candidate will work collaboratively with the Institutional Research and Planning team, as well as other university departments, leveraging analytical and technical skills to drive data-driven strategies. Key Responsibilities: Data Architecture and Advanced Analytics • Design and maintain scalable data models and reporting structures to support enterprise analytics. • Develop, validate, and refine predictive and forecasting models related to enrollment, retention, student success, and financial planning. • Perform advanced statistical analyses to evaluate program effectiveness, student outcomes, and institutional performance metrics. • Optimize SQL queries for performance and reliability within relational database environments (Oracle). Business Intelligence Development • Develop enterprise dashboards, semantic models, and analytical reporting solutions in Power BI (or comparable BI platforms). • Develop and maintain DAX measures, optimized data models, and star schema designs to support scalable reporting. • Automate recurring reporting processes and enhance reproducibility of analytics workflows. Enterprise-Level Data Expertise • Extract, transform, and analyze data from enterprise-level systems (e.g., Banner or comparable systems). • Support preparation and validation of federal and state reporting (e.g., IPEDS and other compliance reporting). • Apply understanding of complex enterprise data systems and relational databases (e.g., academic, financial, and HR data structures in analysis and reporting). Data Governance and Quality Assurance • Contribute to institutional data governance initiatives, including data definitions, documentation, and standards development. • Implement and monitor quality control processes to ensure data accuracy, integrity, and consistency. • Enhance data infrastructure and reporting capabilities.
Salary Range	$60,441 - $78,574 commensurate with experience, education, and internal equity.
Salary Type	Salary
Time Type	Full-Time
Work Location	MU - Marshall University

Qualifications

Must be able to perform all essential job duties as outlined in the job description.

Required Qualifications

Education	Bachelor’s degree in a quantitative, analytical, or technical field required (e.g., data science, statistics, computer science, information systems, mathematics, economics, or similar discipline)
Experience	2+ years of progressive experience in business intelligence, analytics, or institutional research Experience working with complex enterprise data systems and relational databases Demonstrated proficiency in SQL for querying, transforming, and analyzing large relational datasets Experience developing dashboards, reports, or analytical visualizations using a business intelligence platform Experience working with relational database environments and structured data models Ability to design, validate, and interpret analytical or predictive models to support data-driven decision making Experience working with complex enterprise data systems and integrating data from multiple sources

Education

Bachelor’s degree in a quantitative, analytical, or technical field required (e.g., data science, statistics, computer science, information systems, mathematics, economics, or similar discipline)

Experience

2+ years of progressive experience in business intelligence, analytics, or institutional research
Experience working with complex enterprise data systems and relational databases
Demonstrated proficiency in SQL for querying, transforming, and analyzing large relational datasets
Experience developing dashboards, reports, or analytical visualizations using a business intelligence platform
Experience working with relational database environments and structured data models
Ability to design, validate, and interpret analytical or predictive models to support data-driven decision making
Experience working with complex enterprise data systems and integrating data from multiple sources

Preferred Qualifications

Education	Master’s degree in a quantitative field
Experience	Experience working with higher education administrative systems (e.g., Banner or similar ERP systems) Experience supporting federal or state reporting (e.g., IPEDS) Experience working with Oracle or other enterprise relational database systems Experience developing dashboards, semantic models, and measures in Power BI Experience working with dimensional or star schema data models in a data warehouse environment Experience using statistical or programming tools such as Python or R for data analysis or modeling Experience building predictive, forecasting, or statistical models

Education

Master’s degree in a quantitative field

Experience

Experience working with higher education administrative systems (e.g., Banner or similar ERP systems)
Experience supporting federal or state reporting (e.g., IPEDS)
Experience working with Oracle or other enterprise relational database systems
Experience developing dashboards, semantic models, and measures in Power BI
Experience working with dimensional or star schema data models in a data warehouse environment
Experience using statistical or programming tools such as Python or R for data analysis or modeling
Experience building predictive, forecasting, or statistical models

Posting Detail Information

Posting Number	MU1232E
Open Date	04/03/2026
Close Date
Open Until Filled	Yes
Special Instructions Summary

Supplemental Questions

Required fields are indicated with an asterisk (*).

* Do you have a Bachelor’s degree in a quantitative, analytical, or technical field required (e.g., data science, statistics, computer science, information systems, mathematics, economics, or similar discipline)?
- Yes
- No

Applicant Documents

Required Documents

Cover Letter
CV or Resume

Optional Documents

Marshall University
One John Marshall Drive
Huntington, WV 25755

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Original Job Description

Toggle navigation

Senior Business Intelligence and Data Analyst Bookmark this Posting Print Preview | Apply for this Job

Position Details

Offer a wide range of high quality, affordable, and accessible undergraduate, graduate, and professional education that prepares students to think, learn, work, and live in an evolving global society.
Create opportunities and experiences to foster understanding and appreciation of the rich diversity of thought and culture.
Maintain a dynamic intellectual, artistic, and cultural life by promoting and supporting research and creative activities by undergraduates, graduates, and faculty.
Contribute to the quality of life of the community, region, and beyond through applied research, economic development, health care, and cultural enrichment.
Cultivate the development of an inclusive, just, and equitable community.

Work week is 37.5 hrs.
A great highlight in December is that Marshall University employees receive almost two weeks off for Winter Break!
Holidays – Employees receive 13 Paid Holidays
Annual and Sick Leave – Classified Staff, Non-Classified Staff and 12-month Faculty earn up to 24 days of annual leave per year (max 360 hours) and up to 18 days of sick leave per year. ) Employee Leave
Health Insurance – Marshall University offers health insurance through West Virginia Public Employees Insurance Agency (PEIA). There are seven (7) health benefit plans.
Educational/Tuition Benefits – Marshall University provides tuition benefits to regular employees (after probationary period) and their dependent children.
Retirement Plans – Marshall University offers retirement through Teachers Insurance and Annuity Association (TIAA). Full-time benefits eligible employees must participate in the mandated retirement plan (401(a)).
Life Insurance – Basic term life insurance ($10,000) at no cost and may purchase optional life insurance coverage with pre-tax earnings.
Wellness Programs – PEIA provides various care management programs and the Pathways to Wellness program.

We are . . . Marshall!

Position Information

Position Title	Senior Business Intelligence and Data Analyst
Banner Position Number	001046
E-Class	NC - Nonclassified - .53 or >
Department	Institutional Research & Planning - MU2040
Job Description	Marshall University is seeking a skilled Business Intelligence and Data Analyst to join our Institutional Research team. This role is pivotal in supporting the university’s strategic decision-making processes by providing actionable insights from data. The ideal candidate will have a strong foundation in data analysis, business intelligence tools, and a passion for transforming data into meaningful narratives that aid in institutional planning and policy formulation. The successful candidate will work collaboratively with the Institutional Research and Planning team, as well as other university departments, leveraging analytical and technical skills to drive data-driven strategies. Key Responsibilities: Data Architecture and Advanced Analytics • Design and maintain scalable data models and reporting structures to support enterprise analytics. • Develop, validate, and refine predictive and forecasting models related to enrollment, retention, student success, and financial planning. • Perform advanced statistical analyses to evaluate program effectiveness, student outcomes, and institutional performance metrics. • Optimize SQL queries for performance and reliability within relational database environments (Oracle). Business Intelligence Development • Develop enterprise dashboards, semantic models, and analytical reporting solutions in Power BI (or comparable BI platforms). • Develop and maintain DAX measures, optimized data models, and star schema designs to support scalable reporting. • Automate recurring reporting processes and enhance reproducibility of analytics workflows. Enterprise-Level Data Expertise • Extract, transform, and analyze data from enterprise-level systems (e.g., Banner or comparable systems). • Support preparation and validation of federal and state reporting (e.g., IPEDS and other compliance reporting). • Apply understanding of complex enterprise data systems and relational databases (e.g., academic, financial, and HR data structures in analysis and reporting). Data Governance and Quality Assurance • Contribute to institutional data governance initiatives, including data definitions, documentation, and standards development. • Implement and monitor quality control processes to ensure data accuracy, integrity, and consistency. • Enhance data infrastructure and reporting capabilities.
Salary Range	$60,441 - $78,574 commensurate with experience, education, and internal equity.
Salary Type	Salary
Time Type	Full-Time
Work Location	MU - Marshall University

Qualifications

Must be able to perform all essential job duties as outlined in the job description.

Required Qualifications

Education

Bachelor’s degree in a quantitative, analytical, or technical field required (e.g., data science, statistics, computer science, information systems, mathematics, economics, or similar discipline)

Experience

2+ years of progressive experience in business intelligence, analytics, or institutional research
Experience working with complex enterprise data systems and relational databases
Demonstrated proficiency in SQL for querying, transforming, and analyzing large relational datasets
Experience developing dashboards, reports, or analytical visualizations using a business intelligence platform
Experience working with relational database environments and structured data models
Ability to design, validate, and interpret analytical or predictive models to support data-driven decision making
Experience working with complex enterprise data systems and integrating data from multiple sources

Preferred Qualifications

Education

Master’s degree in a quantitative field

Experience

Experience working with higher education administrative systems (e.g., Banner or similar ERP systems)
Experience supporting federal or state reporting (e.g., IPEDS)
Experience working with Oracle or other enterprise relational database systems
Experience developing dashboards, semantic models, and measures in Power BI
Experience working with dimensional or star schema data models in a data warehouse environment
Experience using statistical or programming tools such as Python or R for data analysis or modeling
Experience building predictive, forecasting, or statistical models

Posting Detail Information

Posting Number	MU1232E
Open Date	04/03/2026
Close Date
Open Until Filled	Yes
Special Instructions Summary

Supplemental Questions

Required fields are indicated with an asterisk (*).

* Do you have a Bachelor’s degree in a quantitative, analytical, or technical field required (e.g., data science, statistics, computer science, information systems, mathematics, economics, or similar discipline)?
- Yes
- No

Applicant Documents

Required Documents

Cover Letter
CV or Resume

Optional Documents

Marshall University
One John Marshall Drive
Huntington, WV 25755

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Senior Business Intelligence and Data Analyst

Edtech.com's Summary

Senior Business Intelligence and Data Analyst Full Description

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