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.
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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.
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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