Analyst

The Role

As our Analyst youll be the analytical engine behind our online sales and paid acquisition. Youll track how every channel performs find where were winning or wasting spend and give marketing merchandising and leadership clear recommendations. The role suits someone equally comfortable in a spreadsheet a SQL editor and a conversation with a media buyer.

Compensation: Indian Rupee $70000 - $100000 montly

What Youll Do

• Own reporting on ecommerce performance (traffic conversion rate AOV revenue margin) and paid media (ROAS CAC CPA CTR CPM) across Google Meta TikTok Amazon Ads affiliates and other channels.
• Build and maintain dashboards in Looker Studio / Tableau / Power BI that give teams a single source of truth.
• Analyze campaign and channel performance and recommend budget allocation and bid audience and creative optimizations.
• Design run and read A/B tests on landing pages site experience promotions and ad creative.
• Evaluate attribution across channels using platform data GA4 and incrementality or MMM approaches where available.
• Analyze customer behavior including cohorts retention lifetime value (LTV) repeat purchase rates and LTV:CAC by channel.
• Support merchandising and promotional planning with product category pricing and discount performance analysis.
• Forecast revenue and marketing spend for weekly monthly and seasonal peaks such as Black Friday/Cyber Monday and holidays.
• Audit tracking and data quality (pixels UTMs conversion APIs GA4 events) with marketing and engineering.
• Present findings to non-technical stakeholders with clear actionable recommendations.

What You Bring

• 24 years of experience in ecommerce digital marketing or retail analytics.
• Strong SQL skills and advanced Excel/Google Sheets.
• Hands-on experience with GA4 and at least two major ad platforms (Google Ads Meta Ads Manager TikTok Ads Amazon Advertising).
• Experience building dashboards in a BI tool.
• Solid grasp of performance marketing metrics funnel analysis and attribution concepts.
• Working knowledge of A/B testing and basic statistics (significance sample size).
• The ability to explain complex data simply and turn analysis into a clear heres what we should do.
• Attention to detail and a healthy skepticism about data quality.

Nice to Have

• Python or R for analysis or automation.
• Experience with Shopify Magento/Adobe Commerce or Salesforce Commerce Cloud.
• Familiarity with marketing mix modeling incrementality testing or tools like Northbeam Triple Whale or Rockerbox.
• Experience with CRM and email/SMS platforms (Klaviyo Braze Attentive).
• Experience with data warehouses (BigQuery Snowflake) and dbt.

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