Responsibilities

• Strategic Research & Operations Partnership: Collaborate closely with the Associate Director of Digital Research and Operations across all core analytical projects, co-developing research methodologies to inform leadership, marketing strategy, and institutional policy.
• Higher Education & Marketing Trend Analysis: Monitor, benchmark, and research macro-level higher education patterns, student engagement behaviors, and digital marketing trends. Synthesize external industry research with internal performance data to identify growth opportunities.
• Large-Scale Data Processing & Modeling: Ingest, clean, structure, and manipulate large, disparate datasets (web analytics, social media data, marketing campaigns, CRM /demographic data, external research sources) to uncover actionable operational insights.
• Social Sentiment & Behavior Analysis: Execute social sentiment analysis and deep-dive user behavior analysis across digital channels to evaluate brand perception, audience engagement, and sentiment shifts over time.
• Pattern Recognition & Predictive Analytics: Apply pattern recognition methodologies across multi-touch user journeys, enrollment/conversion funnels, and digital interaction touchpoints to predict audience behavior and evaluate marketing ROI .
• Branded Data Visualization & Prototyping: Design and prototype custom, branded dashboards, interactive reports, and visual assets in Figma, ensuring all data visualizations align with university brand guidelines, visual hierarchy, and UI/UX best practices.
• Advanced Dashboard Development: Automate and maintain executive-level dashboards and comprehensive analytical reports across Tableau, Looker Studio, BigQuery, and SQL . Present complex findings clearly to both technical and non-technical stakeholders.
• Data Governance & Quality Control: Establish rigorous data validation protocols, maintain data hygiene across platforms, and ensure compliance with digital privacy standards and institutional governance.
• Stakeholder Consultation & Support: Serve as a consultant for complex data inquiries, providing campus partners with deep-dive analysis, ad-hoc research, and data-backed recommendations.

Requirements

• EQUIVALENCY STATEMENT : 1 year of higher education can be substituted for 1 year of directly related work experience (Example: bachelor’s degree = 4 years of directly related work experience).
• Data / Reporting Analyst, III : Requires a bachelor’s (or equivalency) + 6 years or a master’s (or equivalency) + 4 years of directly related work experience.
• Education: Bachelor’s degree in data Analytics, Statistics, Computer Science, Information Systems, Visual Design/ HCI , Business Intelligence, or a related field
• Data Analysis & Reporting Experience: Progressive experience in data analysis, business intelligence, or quantitative research, with a proven track record of handling high-volume datasets and strategic reporting.
• Domain Expertise: Strong, demonstrated interest and experience in higher education trends, digital marketing patterns, audience segmentation, and consumer behavior analysis.

Preferred

• Fast & Careful: You pay close attention to details while responding quickly to user needs.
• Curious: You love to learn and are always looking for ways to refine your craft.
• Proactive: You take charge. You don’t wait for problems to happen; you actively hunt for solutions.
• Resilient: You keep your cool and handle high-pressure situations with patience and a calm attitude.
• Collaborative: You are a true team player who understands that we’re stronger when we work together.
• Humble: You’re open to listening, receiving constructive feedback, and changing course with ease.