data analyst

Company Description Self-directed Learning & Academic Projects focuses on applied, project-based learning and data-driven problem solving in an academic context. The organization encourages learners and team members to design and execute independent projects that address real-world challenges using quantitative and qualitative methods. Work is highly collaborative, with an emphasis on structured inquiry, critical thinking, and clear communication of findings. Team members are supported in developing both technical expertise and practical skills that can be applied across multiple domains.
Role Description The Data Analyst role is a full-time, on-site position based in Jaipur. The individual in this role will collect, clean, and organize datasets from academic projects and self-directed learning initiatives, ensuring data quality and consistency. Day-to-day responsibilities include performing statistical analyses, building data models, and generating insights to support decision-making and project evaluation. The Data Analyst will prepare reports, dashboards, and visualizations to present findings to academic mentors, project leads, and other stakeholders. The role also involves collaborating with cross-functional teams, documenting methodologies, and recommending improvements to data collection and analysis processes.
Qualifications
Strong Analytical Skills and proficiency in Data Analytics for interpreting complex datasets and generating actionable insights.
Solid foundation in Statistics, including descriptive and inferential methods relevant to academic and project-based research.
Experience with Data Modeling to structure, analyze, and forecast data for diverse academic and self-directed projects.
Effective Communication skills to explain technical findings clearly to non-technical stakeholders in written and verbal formats.
Working knowledge of tools such as Excel, SQL, and at least one analytics or visualization platform (e.g., Python, R, Power BI, or Tableau).
Bachelor’s degree in a quantitative field such as Statistics, Mathematics, Economics, Data Science, Computer Science, or a related discipline.
Ability to work independently, manage multiple projects, and meet deadlines in a structured yet learning-focused environment.
Prior experience with academic research, educational data, or project-based analytics is an advantage.

Work arrangement
No