Data Analyst - Edison, United States - Middlesex College

Middlesex College Edison, United States

2 weeks ago

Description

SALARY:
$61,871.00 Annually

OPENING DATE:
4/11/2024

CLOSING DATE:
5/2/2024 11:59 p.m.

UNIT:
Grants and Special Projects

DEPARTMENT:
Institutional Research and Assessment

REPORTS TO:
Title V Director

Middlesex College is seeking a highly motivated and detail-oriented Data Analyst with experience in EAB Navigate to join our dynamic team.

The successful candidate will play a pivotal role in supporting data-informed initiatives for improving student success, equity and inclusion including retention and graduation of students.

As a part of the mission, the Data Analyst will manage the College's new student success platform, EAB Navigate, to ensure data is collected and maintained systematically for effective decision-making across the institution.

The Analyst will work with student service and academic affairs units to determine their data needs, including the creation of campus-wide dashboards for staff to obtain data as they need it, provide ad hoc data analyses, and actively participate in campus-wide reporting communities and data governance groups.

At the conclusion of tasks specific to the Title V project, the Data Analyst will report to the Dean of Institutional Research and Assessment.

PRINCIPAL RESPONSIBILITIES:
Manages and maintains data integrity within the student success platform. Extracts, transforms, and loads (ETL) data from student success platform and other data sources for analysis purposes.

Conducts data analysis to identify trends, patterns, and anomalies related to student success, student enrollment, retention, graduation rates, and other key performance indicators.

Develops data displays that clearly communicate complex analyses to multiple audiences, including executive, senior staff, program staff, and program consultants, etc.

Collaborates with IT and institutional research teams to ensure seamless integration of EAB Navigate data with other institutional data sources.

Develops a College-wide training plan and deliver faculty and staff training in data literacy, data analytics, and how to use the new data tools recasting functions to focus on student success, persistence, retention, equity, inclusion and completion.

Builds structures, tools and routines to institutionalize a data-informed culture of student success. Develops and implements strategies to enhance data accuracy and completeness.
Generates regular and ad-hoc reports to provide insights into student behavior and performance.
Collaborates with institutional stakeholders on data and technical needs.
Performs other duties as assigned.

MINIMUM QUALIFICATIONS:
Bachelor's degree
Proven experience working with EAB Navigate, Starfish by Hobsons, Signal Vine, Advising Works by Civitas Learning, Blackboard Predict, Student Success Collaborative by Campus Labs, or Ad Astra
Experience creating data visualizations using Tableau
Experience in higher education
Strong proficiency in data analysis tools and techniques, including SAS

PREFERRED QUALIFICATIONS:
Master's degree in Data Science, Statistics, Information Technology, or a related field
Excellent communication and presentation skills
Ability to work collaboratively in a team environment
Attention to detail and a commitment to data accuracy

SUPPLEMENTAL INFORMATION:

Duration:
Until 9/30/2028

SCHEDULE:
Monday - Friday, 8:30 a.m. to 4:30 p.m., with occasional evenings and weekends.

RETIREMENT:
Pension Eligible

Any Middlesex College employee hired after September 1, 2011 will have to meet the New Jersey residency law requirement.

This is a specially funded position, dependent for its existence upon federal, State, or other non-College operating funds, and is not funded pursuant to the regular College budget.

Continued employment is always contingent upon satisfactory performance and College needs. Grant funded positions are also contingent upon continued funding. This appointment is for the specified period only.

Employment beyond the expiration date of the grant is subject to appropriate provisions of existing collectively bargained agreements in effect at the time for employees covered by those agreements.

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