Description
About NxtWave
NxtWave Disruptive Technologies is a fast-growing EdTech startup transforming students into industry-ready tech professionals through its CCBP 4.0 programs. With a learner community of 200,000+ students across 3,000+ colleges in India, NxtWave focuses on building skills in AI, ML, Full-Stack Development, Cybersecurity, and other next-gen technologies. The company fosters a high-energy, collaborative workplace culture that balances innovation with fun.
Job Overview
NxtWave is seeking a highly analytical Data Analyst to drive data-informed decision-making across product, marketing, engagement, and operations teams. This role involves owning the end-to-end analytics lifecycle—from data extraction and modeling to dashboarding and insight generation—while working closely with EdTech business metrics and user behavior.
Key Responsibilities
Translate business questions into structured analytical problems and deliver actionable insights
Collaborate with Product, Marketing, Engagement, and Operations teams to understand data needs
Design, build, and maintain dashboards to track core KPIs and performance metrics
Extract, transform, validate, and analyze data using SQL (BigQuery)
Use Python for data automation, exploratory data analysis (EDA), and transformations
Conduct statistical, trend, and cohort analyses to identify growth opportunities
Develop modular and scalable data models; maintain analytics version control using DBT
Document analytics processes, best practices, and data definitions
Ensure accuracy, consistency, and timely delivery of analytics outputs
Support forecasting or ML-driven initiatives where applicable
Required Skills
Must-Have (Core)
Advanced proficiency in SQL (BigQuery)
Hands-on experience with Looker Studio or similar BI tools
Strong Google Sheets skills for quick analysis and reporting
Solid understanding of statistics and data interpretation
Excellent communication and stakeholder-management skills
Preferred (Trainable)
Working knowledge of Python, Pandas, and EDA workflows
Understanding of EdTech KPIs such as retention, engagement, and churn
Good-to-Have (Growth Skills)
Familiarity with DBT for analytics engineering
Exposure to machine learning fundamentals and feature engineering
Awareness of Gen-AI tools for analytics automation and productivity
Education & Experience
Experience: 1–2 years in Data Analytics or Business Intelligence
Education: Any Graduate / Postgraduate
Tools & Technologies
Databases: BigQuery
BI & Visualization: Looker Studio, Power BI, Tableau
Languages: SQL, Python
Analysis Tools: Google Sheets