Collect, clean, and update university and course-related data
Analyze datasets to find inconsistencies and suggest improvements
Collaborate with developers to ensure seamless data integration into our platform
Maintain documentation of updated entries and data sources
Work with tools like Excel, Google Sheets, and SQL for data organization
Perform light research to validate and enrich missing data
Ensure high-quality standards for accuracy and completeness
Responsible for the detailed design, development, and delivery of system solutions within a specific business or technology area.
This role requires alignment with the defined solution architecture, leveraging existing patterns, and ensuring compliance with both business and technical requirements.
Develop solution architectures that align with enterprise standards and meet functional and non-functional requirements, and the solution could be Reporting.
Leverage reference architectures, patterns, and standards to ensure consistency and scalability.
Take accountability for technical delivery of projects / use cases for a specific business / technology area and ensure adherence with Security and Compliance policies and procedures within Service Delivery scope
Collaborate and lead with diverse groups of work colleagues (data engineering, data science, platform team and business stakeholders) and positively manage ambiguity
Apply best practices in design and continuously improve upon intuitive user experience for business stakeholders. Ensure the overall user experience is considered when designing new solutions and services
Individual contributor or leading teams.
Engaging with multiple stakeholders (architecture / infrastructure / vendor partners) medium to large-sized complexity of projects
Preferred Skills & Qualifications :
Basic understanding of data analysis and handling tools (Excel, Google Sheets, SQL)
Familiarity with web research and data validation techniques
Attention to detail and a knack for spotting inconsistencies
Experience with Python or data tools like pandas is a plus
Self-motivated, eager to learn, and able to work independently
Comfortable working in a fast-paced startup environment
Hands-on experience in a real startup environment
Opportunity to directly impact thousands of students and professionals
Exposure to real-world data workflows and product collaboration
Mentorship from experienced developers and product leaders