About the role

Data Analytics Manager

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: Improve speed and quality of analysis

Assist in query generation (SQL), data exploration, and insight summarization

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: Validating tracking and data accuracy

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: Data pipelines and tracking implementation

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: Product (feature performance, UX insights)

Marketing (channel attribution, campaign performance)

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: GA4 (required)

SQL / BigQuery (required)

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: Data analysis support

Query generation and debugging

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