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 techniquesAttention to detail and a knack for spotting inconsistenciesExperience with Python or data tools like pandas is a plusSelf-motivated, eager to learn, and able to work independentlyComfortable working in a fast-paced startup environmentHands-on experience in a real startup environmentOpportunity to directly impact thousands of students and professionalsExposure to real-world data workflows and product collaborationMentorship from experienced developers and product leadersFlexible working hours and a remote-first culture(ref : hirist.tech)