Marketing Analytics Lead

Angara is a leading fine jewellery brand known globally for its exceptional gemstones, craftsmanship, and seamless online shopping experience. After establishing a strong presence in the US and other international markets, Angara India is rapidly expanding its footprint, combining premium design with cutting-edge digital retail. Our mission is to make high-quality, customizable gemstone jewellery accessible to customers across India.

Angara was ranked the No.1 Online Jeweler in the US in 2020 by the leading American magazine, Newsweek. We were also recognized by Newsweek as 5 Year Champion on being voted among the best online jewelers in its list of “Best Online Shops” for five years in a row. That’s not all. Our ground-breaking innovation, ‘Create with Angara,’ earned us the Business Intelligence Group’s 2024 BIG Innovation Award as well as the #10 spot in Retail on Fast Company’s Most Innovative Companies 2024 list. In addition to this, we secured the prestigious Bizrate Insights Circle of Excellence Award for two consecutive years as well as the Business Intelligence Excellence in Customer Service Award 2023. Better Business Bureau has rated Angara A+ for excellence in service and our Trust Pilot rating stands at 4.5 out of 5.

Key Responsibilities :

• Data Layer Implementation : Design, implement, and maintain data layers for both Web and App platforms to ensure accurate event tracking and seamless data flow.
• Tag Management & Tracking : Execute end-to-end implementations in Google Tag Manager (GTM) , ensuring smooth integration with GA4, Google Ads, and other MarTech platforms .
• Reporting & Dashboards : Build and automate reports / dashboards tailored for different stakeholders – Marketing, Product, and Business teams.
• Insights & Recommendations : Analyse data and provide actionable insights to drive marketing ROI, product optimizations, and business decisions.
• 3rd-Party Tool Integration : Integrate, test, and maintain third-party tools and platforms through GTM and related technologies.
• Scripting & Automation : Write Python scripts to automate reporting, data cleaning, and advanced analytics use cases.
• Cross-Functional Collaboration : Work closely with Marketing, Product, Tech and Business teams to ensure data accuracy and alignment with business goals.
• A / B Testing : Work closely with the product and marketing teams for setup and analysis of A / B test experiments

Ideal Candidate :