Senior Analyst, Data at Le Moyne College | NY, US | Rezi

Senior Analyst, Data at Le Moyne College

Senior Analyst, Data

Le Moyne College · NY, US

1 weeks ago

Senior Analyst, Data

Le Moyne College · NY, US

13 days ago
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About the Role

The Senior Data Analyst will support the Institutional Research department by developing standardized data management, retrieval, and reporting tools to implement self-service reporting. This role will also assist senior administration with strategic reporting and analytics, and coordinate mandatory, periodic, and ad-hoc institutional reporting to maintain compliance with various agencies and accrediting bodies.

Responsibilities

  • Extract, clean, analyze, and summarize data for internal use, external surveys, government reporting, and accreditation.
  • Administer and analyze senior, alumni, and campus climate surveys.
  • Collaborate with the Director on market research for academic programs.
  • Coordinate with college offices, IT, and vendors to transform data management, analysis, and reporting processes.
  • Collect and fulfill mandatory, periodic, and ad-hoc institutional reporting in collaboration with various college offices.
  • Create and summarize information to support institutional policies, planning, assessment, program evaluation, and retention studies.
  • Maintain the accuracy, integrity, and confidentiality of all College data.
  • Embody Le Moyne's mission-based competencies.
  • Assist with course evaluations and analysis with the Provost office.
  • Demonstrate and role-model mission-based competencies in all interactions.
  • Strengthen digital literacy skills and promote a security culture.
  • Treat all individuals with dignity, professionalism, and kindness.
  • Align professional goals with college strategic goals.
  • Demonstrate excellent work attendance, reliability, and work ethic.
  • Attend and participate in required meetings and training sessions.
  • Comply with all Le Moyne policies, procedures, and codes of conduct.
  • Complete all required federal, state, institution, and department trainings.
  • Engage in a planned program of professional development.
  • Perform a variety of related duties as assigned.

Requirements

  • Bachelor’s degree in statistics, economics, computer science, and/or business analytics/data analytics required.
  • Master’s degree in an analytical discipline such as the social sciences, education research, public policy, or related field preferred.
  • 5+ years' experience progressively responsible experience in institutional research, applied analytics, data science, program evaluation, or a related quantitative field.
  • Equivalent combinations of graduate education and professional experience will be considered.
  • A minimum of two years' experience in higher education or similar institutional setting.
  • A strong aptitude in using data bases, query tools, etc.
  • A strong understanding of research methodology in behavioral sciences or education measurement.
  • In-depth knowledge of research methods in the social sciences and familiarity with intermediate to advanced multivariate statistical analysis techniques.
  • Demonstrated ability to collect, clean, analyze, and summarize data.
  • Competency with analytical software such as SAS and SPSS, Informer, and data visualization software, such as Tableau.
  • Experience with education ERPs such as Workday and Datatel/Colleague preferred.
  • Experience creating and clearly summarizing information for decision makers and other end users.
  • Understanding and applied knowledge of digital transformation processes related to business process and cultural/organizational change.
  • Demonstrated ability to work with less technically-savvy users to develop reporting scope, data requirements, and appropriate tools.
  • Strong management and interpersonal skills, including active listening, flexibility, and empathy.

Skills

  • Data management
  • Data retrieval
  • Reporting tools
  • Strategic reporting
  • Analytics
  • SAS
  • SPSS
  • Informer
  • Tableau
  • Workday
  • Datatel/Colleague
  • Query tools
  • Research methodology
  • Multivariate statistical analysis
  • Digital transformation
  • Business process analysis
  • Organizational change management
  • Active listening
  • Flexibility
  • Empathy

Location

  • Syracuse, N.Y.

Work Type

  • Full-time

Experience Level

  • Senior
  • 5+ years experience
  • 2+ years experience in higher education

Education Level

  • Bachelor's degree
  • Master's degree preferred

Salary/Compensations

  • $64,000 - $72,000

Benefits

  • 403(b) Retirement contribution with 9.5% Employer match
  • Generous tuition coverage
  • Health insurance options (Medical, Dental, Vision, Flexible Spending Accounts)
  • Health Savings Accounts (Partially Employer funded)
  • Basic Life & AD&D Insurance (Employer paid)
  • Short and Long Term Disability Insurance (Employer paid)
  • Supplemental Life & AD&D Insurance
  • Voluntary benefits (Legal, Critical Illness, Hospital Indemnity, Accident Insurance, Pet Insurance etc.)
  • 12 paid holidays
  • Generous time off package
  • 35 hour work week

About the Company

  • Le Moyne College is an independent, Jesuit-established college founded in 1946.
  • It offers a values-based, comprehensive academic program focused on intellectual excellence, leadership, and service.
  • The college is nationally acclaimed for its liberal arts and sciences programs.
  • Le Moyne fosters a diverse learning community rooted in the Catholic and Jesuit tradition.
  • The mission emphasizes educating the whole person and preparing members for leadership and service to promote a more just society.
  • The college actively promotes diversity and inclusiveness, seeking scholars and professionals who bring innovation and impact.

Equal Opportunity

  • Le Moyne College prohibits discrimination and harassment based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, citizenship & immigration, or any other protected characteristic.
  • This policy applies to all employment practices, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship.
  • Hiring decisions are based solely on qualifications, merit, and business needs.