Data Analyst

About Toprankers

Toprankers is India’s most preferred digital learning platform for careers beyond engineering and medicine. With a mission to “unlock every learner’s true potential”, we provide curated learning experiences across domains like Law, Management, Design, Judiciary, and more. Through our brands such as Judiciary Gold, Creative Edge, Supergrads, LegalEdge, and Toprankers School of Law, we empower students with personalized learning, best-in-class educators, and a tech-driven ecosystem.

We are trusted by over 3 million aspirants and are rapidly expanding to redefine the way India prepares for competitive exams and careers.

Role Overview

We are seeking a Data Analyst to join our growing analytics team. The ideal candidate will turn raw data into actionable insights, helping various departments (Academics, Marketing, Sales, Operations, and Product) make informed decisions. This role requires a strong analytical mindset, proficiency in data tools, and the ability to present findings in a clear, business-oriented way.

Key Responsibilities

• Collect, clean, and analyze structured & unstructured data from multiple sources (CRM, LMS, Marketing platforms, etc.).
• Develop dashboards and reports to track KPIs across sales, student performance, operations, and marketing campaigns.
• Perform statistical analysis to identify trends, patterns, and actionable insights.
• Support business teams with data-driven decision-making and predictive modeling.
• Collaborate with product and tech teams to define data tracking requirements.
• Automate recurring reports and data processes for efficiency.
• Present findings to stakeholders in simple, impactful visualizations.
• Maintain data quality, security, and compliance standards.
  
  

Requirements

• Education: Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or related field (Master’s preferred).
• Experience: 2-5 years in data analytics, preferably in EdTech / SaaS / Digital Marketing.
• Strong skills in SQL, Excel/Google Sheets, Python/R for data analysis.
• Experience with BI tools (Tableau, Power BI, Looker Studio, or similar).
• Knowledge of statistical analysis & predictive modeling.
• Ability to communicate complex data insights in a clear business language.
• Strong problem-solving and critical-thinking skills.