About the role

Role Overview
We are seeking a Data Analytics Manager to lead day-to-day analytics execution, reporting,
and insights generation for our eCommerce business. This role will partner closely with
Product, Marketing, Merchandising, and Data Engineering teams to ensure accurate
reporting, actionable insights, and strong data governance.
This role will be critical in maintaining data quality, supporting experimentation, and driving
performance optimization across the customer journey. Additionally, we are looking for
someone who is eager to leverage modern AI tools to enhance reporting, improve
efficiency, and unlock deeper insights.

Key Responsibilities
Analytics & Reporting
• Own and manage recurring reporting across key business KPIs (conversion,
revenue, AOV, funnel performance)
• Ensure accuracy and consistency across GA4, BigQuery, Tableau, Power BI, and
other reporting tools
• Develop and maintain dashboards for stakeholders across Product, Marketing, and
Leadership
• Identify trends, anomalies, and actionable insights in customer behavior and site
performance

AI-Enhanced Analytics & Efficiency
• Leverage AI tools (e.g., ChatGPT, Claude, or similar) to:
o Improve speed and quality of analysis
o Assist in query generation (SQL), data exploration, and insight summarization
o Enhance reporting narratives and stakeholder communication
• Identify opportunities to automate manual reporting and streamline workflows
using AI

• Stay current with emerging AI capabilities and recommend practical applications
within the analytics function
(Note: This is not a data science role, but a strong interest and practical use of AI tools is
expected.)

A/B Testing Support
• Support A/B testing execution by:
o Validating tracking and data accuracy
o Analyzing test results and ensuring statistical soundness
• Partner with Product Managers who own test ideation and execution
• Help improve testing frameworks and reporting standards

Data Governance & Quality
• Work closely with DW/Engineering teams on:
o Data pipelines and tracking implementation
o GA4 validation and event accuracy

• Ensure consistency between different data sources (GA4, internal systems, third-
party tools)

Cross-Functional Partnership
• Act as a key analytics partner to:
o Product (feature performance, UX insights)
o Marketing (channel attribution, campaign performance)
o Merchandising (category performance, promotions)
• Translate business questions into clear, data-driven insights
• Help define analytics best practices, documentation, and processes
• Improve team efficiency through automation and standardization

Qualifications
Required:
• 6+ years in Digital Analytics or Business Analytics
• Strong experience with:
o GA4 (required)
o SQL / BigQuery (required)
o Tableau, Power BI or similar BI tools
• Experience supporting A/B testing and experimentation frameworks
• Strong understanding of eCommerce KPIs and customer funnels

AI & Tooling Mindset:
• Familiarity with AI tools (e.g., ChatGPT, Claude, Gemini) for:
o Data analysis support
o Query generation and debugging
o Insight summarization and reporting
• Demonstrated interest in leveraging AI to improve productivity and analytical output

Communication & Collaboration:
• Strong verbal and written communication skills in English (required)
• Ability to clearly present insights to both technical and non-technical stakeholders
• Comfortable working in a fast-paced, cross-functional environment

Working Model:
• Based in India, with working hours that provide partial overlap with US teams
• Ability to collaborate in real-time with US-based stakeholders on key initiatives