Website Vedanthu
Business Data Analyst – Vedantu
Opportunity Overview
Business Intelligence & Stakeholder Workflow
The Business Data Analyst at Vedantu bridges technical data extraction with operational decision-making, converting raw learning and engagement metrics into actionable insights for business teams:
┌───────────────────────────────────────────┐
│ 1. Business Requirements & Problem Framing│ ➔ Partner with teams to define analytical frameworks & metric definitions
└─────────────────────┬─────────────────────┘
▼
┌───────────────────────────────────────────┐
│ 2. SQL Extraction & Data Cleaning │ ➔ Write & optimize SQL queries across multi-source student/course databases
└─────────────────────┬─────────────────────┘
▼
┌───────────────────────────────────────────┐
│ 3. Dashboarding & Trend Analysis │ ➔ Build tracking dashboards and proactively identify anomalies, opportunities, & trends
└─────────────────────┬─────────────────────┘
▼
┌───────────────────────────────────────────┐
│ 4. Executive Storytelling & Recommendations│ ➔ Translate "so what" metrics into clear, actionable presentations for stakeholders
└───────────────────────────────────────────┘
Key Responsibilities
-
KPI Dashboard Construction: Design, launch, and maintain business dashboards (Excel, Google Sheets, Power BI, Tableau, or Looker Studio) to track core EdTech metrics.
-
SQL Query Optimization: Extract, clean, and analyze multi-source transactional and user engagement data using efficient SQL scripts.
-
Proactive Insight Mining: Analyze user patterns to uncover retention trends, funnel bottlenecks, and operational opportunities without waiting for explicit requests.
-
Stakeholder Alignment: Translate non-technical business queries into structured analytical frameworks and communicate findings back to leadership in simple terms.
-
Data Quality Governance: Conduct audits to ensure data consistency, calculation accuracy, and metric alignment across all business dashboards.
Qualification Matrix & Technical Skill Stack
Core Requirements
Key Focus Areas for Interview Preparation
-
EdTech Product & Business Metrics: Prepare to discuss key funnel and engagement metrics such as CAC (Customer Acquisition Cost), Trial-to-Paid Conversion, LTV, DAU/MAU, and Course Completion/Retention Rates.
-
Applied SQL Mechanics: Practice live SQL coding scenarios focused on customer cohort analysis, user retention calculations, and multi-table data aggregation.
-
Data Storytelling & Case Scenarios: Prepare examples demonstrating how you went beyond reporting numbers to deliver a recommendation that directly impacted business execution
To apply for this job email your details to yasminrifaya86@gmail.com
