Data Analyst (DA)

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:

●1-2 years of experience in the field of Analytics