Business Analyst

The Business Analyst for the O-EYE platform plays a critical role in building and managing the data foundation that powers analytics, reporting, and AI-driven insights. This role focuses on extracting, transforming, and structuring data from diverse university systems and client environments to enable benchmarking, decision support, and intelligent automation.

· The position sits at the intersection of data, analytics, and AI, supporting the development of a unified intelligence layer across institutional systems.

Key Responsibilities:

1\. Data Acquisition \& Integration

· Extract and consolidate data from multiple sources including Student Information Systems (SIS), CRM platforms, application systems, and operational tools

· Support ingestion of data into centralized data lake or warehouse environments

· Ensure data consistency, normalization, and traceability across sources

· Work with technical teams to streamline data pipelines and ingestion processes.

2\. Data Preparation \& Modelling

· Clean, transform, and standardize raw datasets for analytical use

· Design and maintain data models aligned with reporting, benchmarking, and AI use cases

· Develop reusable and scalable datasets for ongoing analysis and dashboards

· Ensure data integrity, governance, and documentation standards.

3\. Analytics \& Insights

· Conduct exploratory data analysis to identify trends, patterns, and anomalies

· Support cross-institutional and departmental benchmarking initiatives

· Generate actionable insights to inform operational and strategic decision-making

· Translate business questions into analytical frameworks.

4\. Reporting \& Visualization

· Develop dashboards, reports, and visualizations for business and executive stakeholders

· Present complex data in a clear, concise, and consumable format

· Enable KPI tracking, performance monitoring, and outcome measurement

· Continuously improve reporting frameworks based on stakeholder feedback.

5\. AI Enablement

· Prepare structured and high-quality datasets for AI/ML models and LLM-based applications

· Collaborate with AI and engineering teams on prompt engineering and data pipelines

· Ensure data readiness and quality to support reliable AI-driven outputs

· Contribute to the evolution of O-EYE’s intelligence and automation capabilities.

Required Skills \& Qualifications:

Technical Skills:

· Strong proficiency in SQL for data extraction and manipulation

· Experience with Python (pandas, NumPy, or equivalent data processing libraries)

· Familiarity with data visualization tools such as Power BI, Tableau, or similar

· Understanding of ETL processes, data pipelines, and data lake/warehouse architectures

· Exposure to cloud-based data environments is a plus.

Analytical Skills:

· Strong problem-solving and critical thinking abilities

· Ability to work with incomplete, inconsistent, or complex datasets

· High attention to detail with a focus on data quality and accuracy

· Ability to derive meaningful insights from large datasets.

Collaboration \& Communication:

· Ability to work cross-functionally with technical, functional, and business teams

· Support Solution Architects and AI teams with structured data inputs

· Strong communication skills to translate data insights into business context

· Comfortable working in a fast-paced, evolving project environment