SENIOR DATA ANALYST

Vrinda International; Bengaluru, Chennai District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Vrinda International in Bengaluru seeks a Senior Data Analyst to transform complex datasets into strategic insights that drive revenue and decision-making. You will bridge business needs with data engineering, ensuring data is accurate, well-modeled, and readily usable.

You will leverage advanced SQL, build executive dashboards, and tell compelling stories with data. The role requires experience with modern cloud data platforms and a strong commercial sense to align analytics with business

Qualifications

• Proven expertise in SQL for data extraction and modeling.
• Strong business acumen with ability to translate insights into actions.
• Excellent storytelling to communicate findings to non-technical stakeholders.
• Hands-on experience with cloud data platforms.

Responsibilities

• Convert complex business challenges into analytical models and KPIs.
• Design and deploy dashboards and reports for executive leadership.
• Investigate customer behavior, revenue, product performance, and operations.
• Identify patterns, risks, and opportunities in data landscape.
• Apply cohort analysis, retention tracking, funnel optimization, and forecasting.
• Build analytical data models to support querying and reporting.

Skills

SQL

Business acumen

Data storytelling

Cloud data platforms

Job description

Bangalore / Chennai, India | Posted on 09/21/2026

Job Description

Senior Data Analyst

Summary

We are seeking a commercially driven and highly analytical Senior Data Analyst to transform intricate datasets into strategic insights that fuel decision-making and revenue growth. This pivotal position serves as the critical link between business stakeholders and data engineering teams, guaranteeing that data assets are accurate, robustly modeled, and primed for immediate use. The successful candidate will possess a unique blend of advanced SQL proficiency, sharp business intuition, and compelling storytelling capabilities, backed by practical experience utilizing contemporary cloud-based data ecosystems.

Responsibilities

• Convert complex business challenges into structured analytical models and define quantifiable key performance indicators.
  
• Design and deploy interactive dashboards and high-level reports tailored for executive leadership.
  
• Conduct comprehensive investigative analysis spanning customer behavior, revenue streams, product performance, and operational efficiency.
  
• Detect emerging patterns, potential risks, and strategic opportunities within the data landscape.
  
• Execute sophisticated analytical techniques, including cohort studies, retention tracking, funnel optimization, and predictive forecasting.
  
• Architect and construct analytical data models to support advanced querying and reporting needs.
  

Requirements

• Proven expertise in SQL for complex data extraction and manipulation.
  
• Strong commercial acumen with the ability to align data insights with business objectives.
  
• Exceptional data storytelling skills to communicate findings effectively to non-technical audiences.
  
• Hands-on experience working with modern cloud data platforms.
  
• Demonstrated ability to bridge the gap between technical data engineering and business strategy.