Data Analyst

Responsibilities :

- 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

- Flexible working hours and a remote-first culture