Business Intelligence Data Analyst Intern

Job Description

Primary Function of Position

We are seeking a skilled and proactive Data Analyst to join our Business Intelligence & Enablement team. The successful candidate will work closely with the Professional Education and Program Services (PEPS) department, focusing on reviewing data to uncover insights that drive data-driven decision-making, building dynamic reports, and developing insights for the adoption of new technologies and platforms. This role will play a key part in helping the organization monitor the state of the business, optimize growth strategies, and improve operational efficiency.

Essential Job Duties

• Work closely with Data Science to help the PEPS department in implementing data solutions that improve the business’s ability to anticipate trends and make proactive recommendations.
• Research large and complex datasets to uncover patterns and insights that inform strategic and operational recommendations within the PEPS department to ultimately establish the state-of-the-business.
• Aid in the development of predictive and prescriptive models to help forecasting, and optimization of business processes, outlining opportunities for growth and efficiency across each business unit.
• Work with cross-functional teams to develop data products and tools that help the adoption of new technologies and business intelligence solutions.
• Work closely with data engineers, finance, and other teams to ensure seamless integration of data science models into business intelligence platforms.
• Present clear, actionable insights to collaborators, offering recommendations for performance improvement and efficiency gains.

Qualifications

Required Skills and Experience

• Exceptional data and problem-solving skills, with the ability to derive insights from complex data.
• Proficiency in building dynamic, interactive reports and dashboards.
• Proficiency in data visualization tools like Power BI, Tableau, or similar platforms.
• Experience with data querying languages (SQL) and working with large datasets.
• Proficiency in programming languages such as Python, R, or similar for data manipulation and research.
• Familiarity with cloud data platforms (e.g., AWS, Google Cloud, Azure)
• Excellent communication skills with the ability to convey complex technical concepts to non-technical collaborators.

University Hiring Program Eligibility Requirements:

• University Enrollment: Must be currently enrolled in and returning to an accredited degree-seeking academic program in the Fall.
• Internship Work Period: Must be available to work full-time (approximately 40 hours per week) during a 10-12 week period starting May or June. Specific start dates are shared during the recruiting process.

Required Education and Training

• Currently enrolled in Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.

Working Conditions

• Travel up to 10%

Preferred Skills and Experience

• Engaged experience in building and deploying machine learning models
• Knowledge of web-based applications and web security best practices