Business Intelligence Analyst (Onsite)

About the role

The Business Intelligence Analyst uses business intelligence and policy data to inform business decisions in a fast-paced, innovative Higher Education setting. They act as an internal consultant to campus stakeholders, independently analyzing complex data and translating results into visualizations and presentations to support data-informed institutional decision making.

Responsibilities

• Acting as an internal consultant to campus stakeholders, independently analyzes complex data and translates results into visualizations and presentations to support data-informed institutional decision making.
• Using statistical analysis and strong problem-solving skills, designs, performs, and summarizes problems of diverse scope and with policy implications that contribute to student success, retention, and graduation goals.
• Implements program analytics software tools, and runs predictive analysis and forecasting models in support of organizational goals.
• Uses of Python to conduct data analysis.
• Effectively translates data analysis results into reports and presentations for organizational stakeholders, providing support in data-informed decision making to high-level organizational managers and executives.
• Uses various data collection methods, including social science surveys, focus groups, web scraped data to conduct analyses.
• Conducts ongoing analyses of data sources and data sets.
• Serves on internal committees and participates in cross-functional teams based on data expertise.

Requirements

Requires commitment to ongoing growth and professional development. Ability to rigorously document methodologies. Ability to complete statistical analyses and data integration using Python. Experience using survey software such as Qualtrics.

Qualifications

• Bachelor's degree from an accredited university.
• Masters or Doctorate in a quantitatively oriented discipline or social science discipline with a quantitative emphasis (preferred).
• Three years of directly related, progressively responsible experience in a quantitatively oriented position, preferably in higher education, or a combination of education, training, and experience that has led to the development of knowledge, skills, and abilities necessary to successfully perform the duties outlined in this position.

Skills

• Advanced statistical data analysis competencies.
• Experience using survey software such as Qualtrics.
• Thorough active listening, critical thinking, and good interpersonal skills.
• Able to provide good judgment, decision-making, and problem solving.
• Ability to work across multiple teams and independently.
• Strong ability to communicate through presentations and other written materials.
• Ability to perform exploratory data analysis and learn industry-standard metrics and indicators for various functional domains.
• Ability to create clear, concise, and compelling stories utilizing data and visualization tools.
• Experience developing dashboards in Tableau and/or Power BI (preferred).
• Ability to learn and work with numerous software platforms, integrating various data sets (preferred).

Benefits

Not specified.

Pay

$94,800- $109,000.

Schedule

Not specified.

UC Merced is advancing a comprehensive data infrastructure and analytics modernization initiative to meet the university's increasing demand for high-quality, timely, and actionable insights. Beginning with the institution's first Analytics Roadmap in 2019 and strengthened by strategic investments in 2022, the campus launched the Institutional Data and Enterprise Analytics (IDEA) project to build modern, scalable data assets and capabilities. The IDEA initiative supports descriptive, diagnostic, and predictive analytics by implementing enterprise-grade tools for optimized data storage and performance.