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University Analyst Jobs (NOW HIRING)

AD Mortgage

University Relations Recruiter

Troy, MI

$45K - $56K/yr

Track recruiting metrics, analyze effectiveness of campus programs, and provide insights for ... Experience: 2+ years in recruiting, university relations, or talent acquisition (mortgage or ...

Harvard University

Business Analyst

Cambridge, MA · On-site

$57/hr

Within and across the University, we aim to be exemplary colleagues, trusted partners, valued ... Analytics, Modeling, and Operational Assessment and Improvement * Collaborate with business ...

Harvard University

Business Analyst

Cambridge, MA · On-site

Within and across the University, we aim to be exemplary colleagues, trusted partners, valued ... Analytics, Modeling, and Operational Assessment and Improvement * Collaborate with business ...

Rutgers University

Data Analyst

New Brunswick, NJ · On-site

$74K/yr

Aligned with Rutgers University-New Brunswick and collaborating university wide, RBHS includes ... The Data Analyst works with investigators and other research team members to carry out a range of ...

Wilkes University

Business Analyst

Wilkes Barre, PA · On-site

Wilkes University invites applicants for a Business Analyst in the Finance Department. This position supports the institution's financial operations through accurate reporting, analysis, and ...

Maryville University

Financial Analyst

Saint Louis, MO · On-site

$65K - $78K/yr

The Financial Analyst will play a critical role in supporting the financial operations of the university, with a primary focus on the Athletics Department. This role will allocate 60-75% of its time ...

Columbia University

Financial Analyst

New York, NY · On-site

$80K - $85K/yr

The above hiring range represents the University's good faith and reasonable estimate of the range ... The Financial Analyst contributes to the oversight and analysis of financial activity across the ...

Murray State University

Compensation Analyst

Murray, KY · On-site

Murray State University does not discriminate based on race, color, national origin, sex, gender ... Analyze data and relevant market trends, assist with the regular review of established faculty pay ...

Vanderbilt University

Data Analyst

Nashville, TN · On-site

It is an exciting time at Vanderbilt as the University officially welcomed C. Cybele Raver as its ... The Data Analyst is a specialized research and analytics role embedded within ODP's program ...

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University Analyst information

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$31K

$73.3K

$130K

How much do university analyst jobs pay per year?

As of Jul 12, 2026, the average yearly pay for university analyst in the United States is $73,261.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,500.00 and $87,000.00 per year, depending on experience, location, and employer.

Which analyst gets paid the most?

Senior-level analysts, such as data analysts or financial analysts with extensive experience and specialized skills, tend to earn the highest salaries. Factors like industry, location, certifications, and advanced technical expertise can also influence compensation levels for analysts.

What jobs make $1,000,000 a year?

In the context of a university analyst, earning $1,000,000 annually is uncommon; most high-paying roles in academia or related fields typically do not reach this level. However, top executives, successful entrepreneurs, and certain specialized professionals in finance, technology, or consulting can achieve such income levels, often through bonuses, investments, or ownership stakes. These roles usually require advanced skills, extensive experience, and sometimes multiple income streams.

What does a University Analyst do?

A University Analyst is responsible for collecting, analyzing, and interpreting data to support decision-making within a university setting. Their work often involves generating reports on enrollment trends, student performance, budgeting, institutional effectiveness, and compliance with regulations. University Analysts collaborate with various departments to provide insights that help improve academic programs, resource allocation, and overall university operations. They play a crucial role in strategic planning and ensuring that the university meets its goals and objectives.

What are some common challenges University Analysts face when working with diverse academic departments?

University Analysts often work closely with various academic departments that have unique data needs and reporting standards. A common challenge is ensuring consistent data collection and analysis practices across different units while respecting their individual requirements. Effective communication, adaptability, and a collaborative approach are essential for navigating these differences and delivering actionable insights. Analysts frequently need to bridge gaps between technical data solutions and the practical needs of faculty and administrative staff.

What jobs in the US pay 300,000 a year?

For a University Analyst, high salaries of $300,000 or more are uncommon and typically reserved for executive-level roles or specialized positions such as chief financial officers, university presidents, or senior administrators with extensive experience. Most university analyst roles have salaries below this threshold, but those with advanced degrees, certifications, or leadership responsibilities may reach higher compensation levels. Salary ranges vary based on institution size, location, and scope of responsibilities.

What jobs pay $500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually include executive roles such as CEOs, CFOs, and other C-suite positions, as well as successful entrepreneurs, top-tier investment bankers, and certain specialized medical professionals like neurosurgeons. These roles typically require extensive experience, advanced skills, and often involve significant responsibility or ownership stakes.

What is the difference between University Analyst vs Data Analyst?

AspectUniversity AnalystData Analyst
Required CredentialsBachelor's degree in education, public policy, or related fieldsBachelor's degree in statistics, computer science, or related fields
Work EnvironmentEducational institutions, government agencies, research organizationsCorporate, healthcare, finance, or tech industries
Employer & Industry UsageUniversities, colleges, educational departmentsBusinesses, consulting firms, data-driven sectors
Common Search & ComparisonYesNo

The main difference between a University Analyst and a Data Analyst lies in their work focus and environment. University Analysts typically work within educational institutions analyzing policies, student data, or academic programs, requiring degrees related to education or public policy. Data Analysts work across various industries, focusing on interpreting data to inform business decisions, often with backgrounds in statistics or computer science. Both roles involve data interpretation but serve different sectors and purposes.

What are the key skills and qualifications needed to thrive as a University Analyst, and why are they important?

To thrive as a University Analyst, you need strong analytical skills, experience with data interpretation, and a relevant degree such as in statistics, education, or business administration. Familiarity with data analysis tools like SPSS, SQL, Tableau, or Excel, and sometimes knowledge of institutional research systems, is typically required. Excellent problem-solving abilities, attention to detail, and effective communication are crucial soft skills in this role. These skills ensure accurate data-driven decision-making, support institutional planning, and enable clear reporting to stakeholders.
More about University Analyst jobs
What states have the most University Analyst jobs? States with the most job openings for University Analyst jobs include:
What job categories do people searching University Analyst jobs look for? The top searched job categories for University Analyst jobs are:
University Analyst jobs near you
Infographic showing various University Analyst job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 86% Full Time, 6% Part Time, 1% Temporary, and 5% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $73,261 per year, or $35.2 per hour.

Data Architect 3 (Data Analyst 3)

University of Connecticut - ITS

Storrs, CT • On-site

$92K - $120K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 3 days ago

Job description

Data Architect 3 (Data Analyst 3)


Search #: 499607
Work type: Full-time
Location: UConn Storrs
Categories: Information Technology

JOB SUMMARY

The centralized Information Technology Services Department at the University of Connecticut in Storrs is seeking a highly skilled Data Architect to serve as a shared technical resource between the Reporting and ETL teams, with a primary focus on the University’s Microsoft Fabric analytics platform and its supporting data architecture. This position operates under a hybrid work model and requires onsite presence in Storrs three days per week.

The Data Architect designs, governs, and advances the University’s analytical data architecture, with responsibility for defining and maturing an end-to-end Microsoft Fabric implementation utilizing OneLake, Lakehouse and Warehouse patterns, orchestration, Python data transformation, and the semantic modeling layer that supports Power BI reporting.  The successful incumbent will help drive AI and machine learning capabilities into the data architecture, enabling advanced analytics, predictive modeling, and intelligent data services that enhance institutional insights and operational effectiveness. Functioning at a senior technical level, this role provides architectural leadership, technical direction, and hands-on development support for enterprise data pipelines, dimensional models, analytical structures, and reporting solutions. The incumbent collaborates closely with team managers, developers, data stewards, and stakeholders to ensure that institutional data is reliable, well-modeled, secure, and effectively used to support decision-making, research, teaching, learning, and outreach.

DUTIES AND RESPONSIBILITIES

  • Serves as a senior shared technical resource for the ETL and Reporting teams, providing architectural direction and hands-on expertise for enterprise analytics solutions with an emphasis on Microsoft Fabric.
  • Design and maintain enterprise analytical data architecture, including Microsoft Fabric (OneLake, Lakehouse, and Warehouse patterns), data warehouses, data marts, dimensional models, and governed analytical structures.
  • Designs, develops, and optimizes scalable data ingestion, orchestration, and transformation pipelines, including Fabric-aligned data flows using supporting technologies such as Python and PL/SQL.
  • Defines and implements semantic modeling and metric standards to enable consistent, reliable Power BI reporting, including shared dimensions, certified datasets/models, and reusable measures where appropriate.
  • Ensures data quality, performance, reliability, and analytical usability across ingestion, OneLake storage layers, Lakehouse/Warehouse structures, and reporting/semantic layers.
  • Translates institutional and stakeholder reporting requirements into well-governed data models, metrics, and analytical structures, aligning designs with Fabric and enterprise data standards.
  • Supports enterprise data governance practices using Microsoft Purview, including data cataloging, lineage, classification, and stewardship alignment, and ensures governance practices align with Fabric platform usage.
  • Establish and document data standards, best practices, and architectural guidance; advises leadership and project teams on Microsoft Fabric capabilities, data architecture decisions, and analytics platform evolution.
  • Performs related work as required. 

MINIMUM QUALIFICATIONS

  1. Ten years of related professional experience; OR an associate’s degree and eight years of related experience; OR a bachelor’s degree and six years of related experience.
  2. Demonstrated senior-level experience designing and supporting enterprise analytical data architectures, including data warehouses, data marts, and dimensional data models.
  3. Demonstrated experience designing, developing, and maintaining scalable ETL pipelines and complex data transformations within enterprise analytics platforms.
  4. Demonstrated working knowledge of database or analytics platforms such as Microsoft SQL Server or Oracle, and PowerBI or Pentaho.
  5. Demonstrated knowledge of Python and PL/SQL for data integration, transformation, and analytical data processing.
  6. Demonstrated experience ensuring data quality, reliability, and performance across data ingestion.
  7. Demonstrated experience applying AI/Agentic AI, or Machine Learning, or advanced analytics capabilities to enterprise data platforms, including support for analytical use cases, data preparation, or integration with reporting and analytics tools.
  8. Demonstrated working knowledge of enterprise data governance principles and practices, including data cataloging, lineage, classification, and stewardship.
  9. Demonstrated experience collaborating with technical teams, data stewards, and stakeholders to translate business and reporting requirements into governed analytical data solutions, including Microsoft Fabric semantic models and Power BI reporting aligned to enterprise standards.
  10. Demonstrated experience advising leadership or project teams on data architecture decisions, analytics strategy, and platform capabilities.
  11. Demonstrated experience establishing and following data standards, architectural best practices, and documentation in an enterprise environment.

PREFERRED QUALIFICATIONS

  1. Experience with or demonstrated working knowledge of designing, developing, and maintaining scalable ETL pipelines and complex data transformations within enterprise analytics platforms, using Microsoft Fabric OneLake, Lakehouse and Warehouse patterns, data ingestion/orchestration and transformation workflows, and the semantic modeling layer that supports Power BI.
  2. Experience with or demonstrated working knowledge of enterprise data governance principles and practices, including data cataloging, lineage, classification, and stewardship with experience using Microsoft Purview to support governance within a Microsoft Fabric environment.
  3. Experience ensuring data quality, reliability, and performance across data ingestion, OneLake/Lakehouse/Warehouse storage layers, and reporting/semantic platforms including Power BI.
  4. Experience with enterprise scheduling tools such as Control-M or Airflow in a regimented change-controlled environment.

APPOINTMENT TERMS

This is a full-time, permanent position. The University offers a competitive salary, and outstanding benefits, including employee and dependent tuition waivers at UConn, and a highly desirable work environment. For additional information regarding benefits visit: https://hr.uconn.edu/health-benefits/.

Other rights, terms, and conditions of employment are contained in the collective bargaining agreement between the University of Connecticut and the University of Connecticut Professional Employees Association (UCPEA).

TERMS AND CONDITIONS OF EMPLOYMENT

Employment of the successful candidate is contingent upon the successful completion of a pre-employment criminal background check.

TO APPLY

Please apply online at https://hr.uconn.edu/jobs, Faculty and Staff Positions, Search #499607 to upload a resume, cover letter, and contact information for three (3) professional references.

This job posting is scheduled to be removed at 11:55 p.m. Eastern time on July 6, 2026. 

All employees are subject to adherence to the State Code of Ethics which may be found at http://www.ct.gov/ethics/site/default.asp.

All members of the University of Connecticut are expected to exhibit appreciation of, and contribute to, an inclusive, respectful, and diverse environment for the University community.

The University of Connecticut aspires to create a community built on collaboration and belonging and has actively sought to create an inclusive culture within the workforce. The success of the University is dependent on the willingness of our diverse employee and student populations to share their rich perspectives and backgrounds in a respectful manner. This makes it essential for each member of our community to feel secure and welcomed and to thoroughly understand and believe that their ideas are respected by all. We strongly respect each individual employee’s unique experiences and perspectives and encourage all members of the community to do the same. All applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

The University of Connecticut is an AA/EEO Employer.

Advertised: Jun 08 2026 Eastern Daylight Time
Applications close: Jul 06 2026 Eastern Daylight Time

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