Data Analyst II

University of Rochester; City of Rochester (NY); On-site; USD 52,000 - 73,000; Full time

Job summary

University of Rochester seeks a Learning Assessment Data Analyst to develop methods for data collection, analysis, and reporting for the Academic Excellence area. You will analyze data with statistical techniques and create presentations and reports for clients, including deans and program directors.

Collaborating with the Director of Educational Effectiveness, you will design ad-hoc reports and standard visuals using Excel, SPSS, Tableau, and other tools while ensuring accuracy and timely

Qualifications

• Bachelor's degree in statistical analysis, data base management, or related studies such as social sciences and/or field of education required.
• Master's degree in statistical analysis, data base management, or related studies such as social sciences and/or field of education preferred.
• Minimum 3 years data analysis and creating interactive data visualizations or equivalent combination of education and experience required.
• Minimum 1 year in higher education, K-12, and/or project management preferred.

Responsibilities

• Develops methods for data collection, analysis, and reporting for assigned area using best practices.
• Analyzes and interprets data using statistical techniques.
• Creates presentations and reports based on findings.
• Works directly with clients to identify analytical requirements as well as collect data requirements, analyze, determine technical issues, and design ad-hoc reports.
• Collects, analyzes and documents learning outcomes assessment requirements and translates into function and system requirement specifications.
• Creates visual presentations of data findings using charts, graphs, and Tableau dashboards.

Skills

Data analysis

Statistical techniques

Data visualization

Report writing

Education

Bachelor's degree in statistical analysis, data base management, or related studies such as social sciences and/or field of education

Master's degree in statistical analysis, data base management, or related studies such as social sciences and/or field of education preferred

Tools

Excel

SPSS

Tableau

R Studio

Job description

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):

120 Trustee Rd, Rochester, New York, United States of America, 14627

Opening

Worker Subtype: Regular

Time Type: Full time

Scheduled Weekly Hours: 40

Department: 200199 Academic Excellence

Work Shift: UR - Day (United States of America)

Range: UR URG 108

Compensation Range: $51,810.00 - $72,534.00

The referenced pay range represents the minimum and maximum compensation for this job. Individual annual salaries/hourly rates will be set within the job's compensation range, and will be determined by considering factors including, but not limited to, market data, education, experience, qualifications, expertise of the individual, and internal equity considerations.

The Learning Assessment Data Analyst develops methods for data collection, analysis, and reporting for assigned area using best practices. Analyzes and interprets data using statistical techniques. Identifies actionable insights and recommendations. Creates presentations and reports based on findings. Works directly with clients to identify analytical requirements as well as collect data requirements, analyze, determine technical issues, and design ad-hoc reports. Collects, analyzes and documents learning outcomes assessment requirements and translates into function and system requirement specifications. Reports to the Director of Educational Effectiveness.

ADMINISTRATION

• Collects data using questionnaires, interviews, reports, searches of existing journals, etc. Meets with project participants to help formulate project goals and determine protocols and information-gathering methods.
• May assist in design, development and programming of systems needed to meet optimum data presentation goals.
• Sets up and administers surveys using online survey tools (i.e., Qualtrics)
• Organizes electronic assessment forms and related data for final review by the Director of Educational Effectiveness (e.g., Box folders)
• Identifies requirements for data collection and analysis, determines and addresses technical issues
• Organizes and merges multiple quantitative assessment datasets analysis using Microsoft suite including Excel, Tableau, SPSS, etc.

Project Management

• Collects, analyzes and documents data requirements for the office and develops processes to support function and system requirements.
• Develops and maintains project management processes to support archiving of assessment data related to reviews and evaluations including tracking routine assessment activities

OPERATIONS

Data Visualization

• Creates visual presentations of data findings using charts, graphs, and Tableau dashboards
• Creates presentations and formal reports based on findings with the Director of Educational Effectiveness
• Produces standard visualizations customized to meet the needs of deans, department chairs, and center and program directors using SPSS, Tableau, Excel, MS OfficeCreates visual presentations of data findings using charts, graphs, and Tableau dashboards

Reporting

• Prepares reports and recommendations based upon analysis of information gathered
• Designs ad-hoc reports that inform and develop standard reports
• Supports the Director of Educational Effectiveness producing standard reports customized to meet the needs of deans, department chairs, and center and program directors

COMPLIANCE

Accreditation

• Maintains records and conducts correspondence directly with clients that provide a source of information for meeting requirements related to assessment and specialized program accreditation (Middle States, ABET, etc.)

ASSESSMENT TECHNOLOGIES

Database Maintenance & Support

• Provides faculty technical assistance for the online assessment platform (i.e., HelioCampus)
• Troubleshoots technical issues in the assessment platform to ensure accurate data collection
• Partners with IT to report and resolve technical issues
• Generate, organize and format reports using the online assessment platform

Qualifications

• Bachelors degree in statistical analysis, data base management, or related studies such as social sciences and/or field of education required.
• Masters degree in statistical analysis, data base management, or related studies such as social sciences and/or field of education preferred.
• Minimum 3 years data analysis and creating interactive data visualizations or equivalent combination of education and experience required.
• Minimum 1 year in higher education, K-12, and/or project management preferred.
• Attention to detail required.
• Accuracy and record keeping required.
• Advanced level of proficiency in data analysis and problem solving required.
• Advanced expertise with statistical/quantitative analysis and data visualization (using Excel, SPSS, Tableau) required.
• Ability to collaborate and meet timelines required.
• Ability to present and communicate information clearly and effectively verbally, in writing and in graphic form required.
• Expertise using Microsoft Suite required.
• Familiarity with R Studio or equivalent for data preparation, organization and analyses 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.