About this opportunity
University System of Maryland lists this Senior Data Insight Analyst opportunity in adelphi, Maryland. Review the employer’s description below for duties, qualifications and application requirements.
Job description
2 weeks ago Be among the first 25 applicants
University System of Maryland provided pay range
This range is provided by University System of Maryland. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
$95,000.00/yr - $120,000.00/yr
Best Consideration Date: Friday, August 1, 2025
PURPOSE OF POSITION:
The Senior Data Insight Analyst plays a critical role in developing the insights and predictive analytics needed to support data-informed decision making across the University System of Maryland (USM). The responsibility of this position is full ownership of data projects, from problem definition to modeling, visualization, and documentation. The Senior Data Insight Analyst works closely with cross-functional teams to manage and analyze data; develop predictive models and algorithms; and translate data insights into strategic recommendations for USM leadership and stakeholders across the System.
RESPONSIBILITIES:
Predictive Modeling & Advanced Analytics:
Develops and deploys predictive models (e.g., for enrollment projections, retention, workforce development) using Python/R and SQL
Conducts independent data analyses and builds visual reports to support institutional decision-making at the system level
Data Management & Engineering:
Extracts, cleans, and manages data from data warehouse and ancillary databases
Designs and maintains scalable, well-documented data pipelines and analytical solutions
Validates data accuracy and ensures consistency across reporting systems
Collaboration & Strategic Support:
Collaborates with departments and institutions to support strategic planning, student success, and outcome assessments
Assists, reviews, and contributes to Maryland Higher Education Commission (MHEC) reporting and data management
Documentation & Governance:
Documents analytical processes, model logic, and data workflows for reproducibility and transparency
Upholds data governance, privacy, and equity-focused modeling practices
ANNUAL SALARY:
$95,000-$120,000
Requirements
MINIMUM QUALIFICATIONS:
Required Education Level/Certifications:
Bachelor's degree in Data Science, Statistics, Computer Science, Social Sciences, or related field.
Required Experience:
3 years of experience in data analytics, institutional research, or a related role
At least 1 of those 3 years must include hands-on work in predictive analytics
Required Knowledge/Skills/Abilities:
Proficiency in SQL and Python or R for data modeling and analysis
Skill in building predictive models and translating insights into strategic recommendations
Strong written and verbal communication skills, with the ability to convey technical content to non-technical audiences
Ability to communicate clearly and respectfully across different roles, technical backgrounds, and organizational levels
Ability to work independently and collaboratively in a deadline-driven, fast-changing environment
Ability to integrate predictive outputs into decision tools such as Power BI dashboards
High attention to detail and a strong commitment to data accuracy and integrity
Demonstrated ability to manage sensitive information with professionalism and discretion
Curiosity and a desire to explore beyond the immediate task to uncover deeper insights
Willingness to learn and adapt to new tools, technologies, and approaches
PREFERRED QUALIFICATIONS:
Preferred Education Level/Certifications:
Master's degree in Data Science, Statistics, Computer Science, Social Sciences, or related field.
Preferred Experience:
Experience in higher education analytics.
Preferred Knowledge/Skills/Abilities:
Understanding of data ethics, bias mitigation, and data privacy best practices
Skill in the use of AI tools and techniques (e.g., machine learning, natural language processing, or generative AI) to enhance data analysis, uncover insights, and support decision-making
Skill in the use of Power BI, including data modeling, DAX, and visual storytelling
Knowledge of federal and state reporting requirements and familiarity with the higher education landscape, including enrollment trends, student outcomes, and policy frameworks
Benefits
Paid Leave: 22 days of annual leave, 15 days of sick & safe leave, 15 holidays, 3 personal leave days, 12 weeks paid parental leave
Health Benefits: Comprehensive medical, dental, and vision coverage with flexible spending accounts
Retirement Plans: Mandatory and supplemental options with major providers like Fidelity and TIAA
Life Insurance: Optional term life and AD&D benefits through MetLife
Tuition Benefits: Tuition remission for employees and their families
Training & Development: Free professional development conferences and unlimited LinkedIn Learning access
Credit Union Access: Membership eligibility for SECU, Maryland's largest credit union
Employee Assistance Program (EAP): Free counseling, legal, financial, and work-life support services
Click to learn more.
Seniority level
Seniority level
Mid-Senior level
Employment type
Employment type
Full-time
Job function
Job function
Analyst
Industries
IT Services and IT Consulting
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Who can apply
Review the original listing for work authorization, qualifications and employer requirements.