Senior Data Analyst

As a community, the University of Rochester is defined by a deep commitment to Meliora - Ever Better. Embedded in that ideal are the values we share: equity, leadership, integrity, openness, respect, and accountability. Together, we will set the highest standards for how we treat each other to ensure our community is welcoming to all and is a place where all can thrive.

Job Location (Full Address):

514 Intercampus Dr, Rochester, New York, United States of America, 14627

Opening:

Worker Subtype:

Regular

Time Type:

Full time

Scheduled Weekly Hours:

40

Department:

100452 UF&S RC Operations

Work Shift:

UR - Day (United States of America)

Range:

UR URG 111

Compensation Range:

$64,200.00 - $96,200.00

Responsibilities:

The Senior Data Analyst serves as the lead analytics, reporting, compliance, and business intelligence resource supporting River Campus Facilities operations and related UFS departments. Working closely with the Director of Asset Management, this position integrates and transforms complex operational, compliance, maintenance, customer service, inventory, procurement, and asset data into actionable intelligence supporting strategic decision-making, capital planning, regulatory compliance, Joint Commission readiness, and operational excellence. The role develops enterprise reporting, dashboards, KPIs, predictive analytics, and technology-enabled solutions and serves as a key contributor to the implementation and ongoing operation of the Enterprise Asset Management (EAM) system.

SCHEDULE

• Mon - Fri 7am-4pm
  

ESSENTIAL FUNCTIONS
Compliance, Safety & Regulatory Analytics

• Serve as the primary coordinator and analytical lead for regulatory compliance programs supporting facilities infrastructure, including OFPC requirements, elevators, generators, fuel storage systems, pressure vessels, life safety systems, and other regulated assets.
• Develop, maintain, and monitor compliance programs, inspection schedules, testing requirements, corrective actions, regulatory documentation, and performance metrics to ensure adherence to applicable federal, state, local, and accreditation standards.
• Support Joint Commission readiness, audit preparation, regulatory reporting, and continuous compliance monitoring through data analysis, documentation management, and reporting solutions.
• Partner with Facilities Operations, Safety, Asset Management, Engineering, and Medical Center stakeholders to identify compliance risks, track mitigation efforts, and ensure regulatory obligations are met.

 

Strategic Analytics & Decision Support

• Integrate and analyze data from asset management, maintenance, procurement, inventory, customer service, compliance, financial, and operational systems.
• Transform complex datasets into actionable insights that support strategic planning, operational decision-making, and organizational performance improvement.
• Develop analyses and models that inform capital planning, asset lifecycle management, resource allocation, risk mitigation, and long-term investment strategies.
• Identify trends, opportunities, and performance gaps that drive informed decision-making and operational excellence across River Campus and UFS.

Enterprise Reporting & Business Intelligence

• Design, develop, and maintain BI dashboards, executive reports, scorecards, key performance indicators (KPIs), and business intelligence solutions.
• Develop executive-level compliance, asset management, maintenance, safety, customer service, and operational dashboards that provide visibility into organizational performance and regulatory obligations.
• Deliver recurring and ad hoc reporting that supports leadership decision-making and departmental performance management.
• Continuously improve reporting capabilities through automation, standardization, data visualization, and business intelligence best practices.

 

Asset Management Program Support & Operational Improvement

• Partner with the Director of Asset Management and Asset Operations Manager to develop programs, standards, initiatives, and performance frameworks that strengthen Asset Management and support operational excellence across River Campus and UFS.
• Analyze asset condition, maintenance, compliance, and lifecycle data to support capital planning, replacement strategies, deferred maintenance prioritization, and long-range investment decisions.
• Establish meaningful performance metrics that help leaders understand asset reliability, system risk, compliance status, and operational effectiveness.
• Support organizational initiatives that improve stewardship, sustainability, reliability, and performance of University facilities assets.

 

Enterprise Asset Management (EAM) System Support

• Serve as a key contributor to the implementation and ongoing operation of the Enterprise Asset Management (EAM) system.
• Develop reporting requirements, dashboards, analytics, and performance measures that maximize the value of EAM data.
• Collaborate with stakeholders to improve business processes, leverage system capabilities, and enhance organizational decision-making.
• Support user adoption, training efforts, and continuous improvement initiatives related to EAM utilization.

 

Programming & Automation

• Develop automated reporting solutions, workflows, applications, and scripts that improve operational efficiency and data accessibility.
• Utilize programming, artificial intelligence, and emerging technologies to automate compliance monitoring, reporting processes, and business functions.
• Evaluate innovative technologies and recommend solutions that improve analytics, reporting, operational effectiveness, and decision-making.

 

Project Support & Student Leadership

• Lead and mentor student employees engaged in analytics, reporting, programming, and business intelligence initiatives.
• Coordinate projects, assign work, monitor progress, and ensure alignment with departmental priorities and strategic objectives.
• Provide technical guidance, coaching, and professional development opportunities to student team members.
• Support cross-functional initiatives involving Asset Management, Customer Service, Materials Management, Facilities Operations, Safety, and other UFS departments.

 

Other duties assigned

MINIMUM EDUCATION & EXPERIENCE

• Bachelor's degree required in Data Analytics, Business Analytics, Information Systems, Computer Science, Statistics, Engineering, Facilities Management, Business Administration, Public Administration, or a related field or an equivalent combination of education and experience in data analytics, compliance management, business intelligence, asset management, facilities operations, or operational performance improvement strongly preferred.
• Master's degree in Business Analytics, Data Analytics, Information Systems, Business Administration, Public Administration, Engineering Management, or a related discipline preferred.
• 5 years of in data analytics, business intelligence, operational analysis, compliance, asset management, facilities operations, or a related field required
• Or equivalent combination of education and experience
• Experience translating complex operational and business data into actionable insights that support strategic planning and decision-making strongly preferred.
• Experience supporting regulatory compliance programs, performance improvement initiatives, audits, accreditation requirements, or operational reporting functions preferred.
• Experience with Joint Commission, Department of Health, OFPC, NFPA, CMS, OSHA, EPA, or other regulatory compliance programs preferred.
• Experience supporting Enterprise Asset Management (EAM) systems in a facilities, healthcare, higher education, or large institutional environment preferred.
• Experience with asset lifecycle management, capital planning, maintenance management, or facilities performance analytics preferred.
• Experience with programming languages such as SQL, Python, PowerShell, VBA, or other automation technologies preferred.
• Experience utilizing artificial intelligence, machine learning, automation, or advanced analytics tools to improve business processes and decision-making preferred.

KNOWLEDGE, SKILLS AND ABILITIES

• Ability to translate complex data into actionable insights required
• Excellent verbal and written communication skills, with the ability to present complex information in a clear and concise manner required
• Strong problem-solving skills with a strategic mindset required
• Experience with data visualization tools such as Tableau, Power BI, or similar required
• Strong understanding of statistical analysis and predictive modeling required
• Strong analytical and project management skills preferred
• Ability to integrate, analyze, and interpret large and complex datasets from multiple business systems preferred.
• Business intelligence, reporting, dashboard development, and data visualization skills preferred.
• Strong understanding of statistical analysis, performance metrics, and KPI development preferred.
• Ability to communicate complex technical and analytical concepts to both technical and non-technical audiences preferred.
• Knowledge of regulatory compliance, audit processes, performance measurement, and operational improvement methodologies preferred.
• Ability to independently manage multiple priorities, projects, and deadlines preferred.
• Strong collaboration and relationship-building skills across diverse operational and leadership teams preferred.

LICENSES AND CERTIFICATIONS

• Training or certification in data analytics, artificial intelligence, automation, programming, or related emerging technologies preferred.

The University of Rochester is committed to fostering, cultivating, and preserving an inclusive and welcoming culture to advance the University’s Mission to Learn, Discover, Heal, Create – and Make the World Ever Better. In support of our values and those of our society, the University is committed to not discriminating on the basis of age, color, disability, ethnicity, gender identity or expression, genetic information, marital status, military/veteran status, national origin, race, religion, creed, sex, sexual orientation, citizenship status, or any other characteristic protected by federal, state, or local law (Protected Characteristics). This commitment extends to non-discrimination in the administration of our policies, admissions, employment, access, and recruitment of candidates, for all persons consistent with our values and based on applicable law.