Associate Director – Research Analytics

This is a fully remote position, open to applicants in India.

📋 Description

• Spearhead the creation and execution of research analytics strategies that facilitate institutional planning and operational decision-making.

• Design and uphold dashboards, reports, data visualizations, and analytical models utilizing tools like Power BI, Tableau, or comparable platforms.

• Construct forecasting models and trend analyses to assist in planning related to research funding, proposals, awards, expenditures, and indirect cost recovery.

• Transform intricate research administration data into clear, actionable insights and presentations for University leadership and stakeholders.

• Manage institutional reporting initiatives, including sponsored research portfolio reporting, and contribute to external data submissions such as the NSF Higher Education Research and Development (HERD) Survey.

• Collaborate with research administration, finance, information technology, and institutional research teams to enhance data models, reporting processes, and analytics capabilities.

• Create and sustain automated data pipelines and analytical workflows using SQL, Python, R, or similar technologies.

• Implement data governance practices and quality standards to ensure the accuracy, reliability, and consistency of research data.

• Assess emerging technologies and pinpoint opportunities to utilize automation, artificial intelligence, and advanced analytics to enhance research administration processes.

• Supervise, mentor, and nurture Business Intelligence Analysts by offering guidance, managing workloads, and supporting their professional development.

• Act as a strategic analytics partner and technical advisor throughout the research enterprise.

⛳️ Requirements

• A Bachelor’s degree in Data Science, Statistics, Computer Science, Applied Mathematics, Information Systems, Business Analytics, or a related quantitative discipline.

• At least five (5) years of experience in data analytics, business intelligence, research analytics, institutional research, or a similar field.

• Proficiency in developing dashboards, reporting solutions, data models, and analytical tools.

• Experience in supervising, mentoring, or leading technical staff or business analysts.

• Strong command of SQL and proficiency in at least one programming language such as Python, R, or SAS.

• Familiarity with business intelligence and visualization platforms such as Power BI or Tableau.

• Experience with enterprise data systems, data warehouses, and complex datasets.

• Exceptional analytical and problem-solving skills with the ability to interpret complex data and extract meaningful insights.

• Capacity to convey technical information clearly to both executive and non-technical audiences.

• Strong leadership, collaboration, and relationship-building abilities.

• Excellent project management and organizational skills with the ability to balance multiple priorities.

• Dedication to data integrity, innovation, and continuous improvement in support of the University’s research mission.

🏝️ Benefits

• Not specified