Manager, Analytics

The Manager, Analytics leads a team of Data Analysts in delivering the dashboards, reports, and research studies that drive strategic planning, monitor student outcomes, and measure institutional performance. This role manages the team’s day-to-day workload, maintains quality standards across deliverables, and partners with functional leaders to translate complex data into actionable insights that non-technical audiences can use. 

Team Management & Delivery: 

1. Supervise and develop Data Analysts, providing coaching, feedback, and professional development opportunities 

1. Prioritize and manage incoming data and reporting requests, balancing institutional needs with team capacity and delivery timelines 

1. Demonstrate the ability to learn, access, and appropriately utilize AI tools and technologies as needed to support job functions and enhance operational effectiveness. 

1. Demonstrate the ability to learn, access, and appropriately utilize AI tools and technologies as needed to support job functions and enhance operational effectiveness. 

1. Establish and maintain team standards for data quality, report accuracy, and deliverable consistency 

1. Manage the request lifecycle from intake through delivery, ensuring stakeholders receive timely, accurate outputs 

Analytics, Reporting & Research: 

1. Lead cross-functional analytics projects that inform strategic planning, academic programs, enrollment, and student success initiatives 

1. Oversee the development and maintenance of dashboards, data models, and reporting systems that support decision-making across all functions of the College 

1. Drive adoption of self-service analytics solutions, empowering business users to access insights without depending on analyst support for routine questions 

1. Translate complex analytical findings into clear, actionable recommendations for non-technical audiences including leadership, faculty, and external stakeholders 

Data Quality & Process: 

1. Ensure accuracy and consistency of data used across reports and dashboards through validation, reconciliation, and governance practices 

1. Collaborate with the data engineering team to ensure reporting layer data models are well-structured, documented, and aligned with source system definitions 

1. Identify opportunities to improve team efficiency through process standardization, template development, and tooling improvements 

Education: 

Bachelor’s degree in Business, Data Analytics, Data Science, or a related field. Advanced certifications in data management (CDMP, CBIP, DAMA, DGSP) are a plus. 

Experience: 

• Minimum 5 years of experience in data analytics, institutional research, or related field, with demonstrated success in shaping and interpreting data for organizational impact 

• Minimum 2 years of experience supervising or leading analyst teams 

• Working knowledge of statistical techniques (e.g., regression modeling, hypothesis testing, experimental design) 

• Advanced SQL skills; ability to query and integrate data across multiple sources 

• Hands-on experience with Snowflake or other cloud data warehouse platforms 

• Python experience preferred for data analysis, scripting, and automation of reporting workflows 

• Visualization experience with Sigma, Tableau, Power BI, Looker, or equivalent reporting tools 

• Proficiency with Excel, Word, and PowerPoint 

Technical Skills: 

• Advanced SQL skills; ability to query and integrate data across multiple sources 

• Hands-on experience with Snowflake or other cloud data warehouse platforms 

• Python experience preferred for data analysis, scripting, and automation of reporting workflows 

• Visualization experience with Sigma, Tableau, Power BI, Looker, or equivalent reporting tools 

• Proficiency with Excel, Word, and PowerPoint