Data Analyst

About the Role:

As a Data Analyst at NxtWave, you will play a central role in transforming complex datasets into actionable insights, enabling business teams to make data-driven decisions. You’ll own end-to-end analytics processes—from data extraction and modeling to visualization—while aligning closely with EdTech metrics and user behavior.

🎯 Roles and Responsibilities:

• Translate business problems into structured data analysis tasks and deliver actionable recommendations.
• Collaborate with cross-functional teams (Product, Marketing, Engagement, and Ops) to understand needs and deliver insights.
• Design, build, and maintain dashboards for tracking critical KPIs.
• Extract, transform, and validate data from multiple sources using SQL (BigQuery) .
• Apply Python for automation, exploratory data analysis (EDA), and data transformation.
• Conduct statistical and trend analyses to identify opportunities and patterns.
• Implement modular data models and maintain version control using DBT .
• Document analytics best practices, maintain data dictionaries, and ensure standardization.
• Support forecasting models or ML-based prioritization efforts where relevant.
• Ensure timely, accurate, and high-quality data deliveries.

🛠️ Skills Required:

Must-Have Skills (Core, Non-Negotiable)

• Advanced expertise in SQL (BigQuery) and analytical querying.
• Hands-on experience with Looker Studio or equivalent BI tools.
• Strong Google Sheets skills for quick, ad-hoc analyses.
• Good understanding of statistics and ability to interpret data distributions.
• Strong communication skills and proven ability to work with stakeholders.

Preferred Skills (Highly Useful, Trainable On-the-Job)

• Foundation in Python, Pandas , and EDA workflows.
• Understanding of EdTech KPIs like retention, engagement, and churn.

Optional/Good-to-Have (Growth Path Skills)

• Familiarity with DBT for scalable data modeling.
• Exposure to basic ML concepts (classical ML, feature engineering, evaluation, etc.).
• Awareness of Gen AI tools for automation and productivity.

Work Experience:

• 1 - 3 years of experience in the field of Analytics