Blissclub is one of India’s fastest-growing apparel brands, built with a singular mission: to build comfortable and functional apparel for India. We are reimagining the apparel space not just designing products, but building a movement. What started as a community-first D2C brand has expanded into experience-led retail destinations where our Blissqueens don’t just shop, they connect, discover, and belong.
Founded in 2020 by ISB alum Minu Margeret, Blissclub raised its Series A of $15 million in May 2022, led by Eight Roads Ventures and Elevation Capital. This was followed by a Pre-Series B round of ₹33 crore and a Series B round of ₹160 crore, led by Singularity.
Featured on LinkedIn’s Top Startups list in 2022 and 2025, we’re one of India’s fastest-growing D2C brands redefining comfortable apparel for India.
Key Responsibilities:
1. Performance Analysis
- Analyze trends in traffic, conversion rates, CAC, AOV, ROAS, repeat purchase, etc. across online and offline channels.
- Analyze store stock availability, develop improvements in replenishment logic and implement it
- Identify root causes behind performance fluctuations and present actionable insights during review meetings.
- Carry out ad hoc deep dives based on business questions-e.g., cohort analysis, funnel drop-offs, customer segmentation, etc.
- Build and maintain performance dashboards across marketing, website, app, and operations using tools like Google Data Studio / Looker Studio, Power BI, or Tableau.
- Automate data pulls and reporting wherever possible using connectors, scripts, or APIs. Ensure regular updates of dashboards (daily/weekly/monthly) and accuracy of all reported metrics.
- Consolidate data from multiple sources data pipelines and ETL processes (Shopify, Meta, Google Ads, Google Analytics, CRM, Marketplaces, etc.) into unified views.
3. Data Automation & Infrastructure
- Work with internal/external partners to streamline the data Pipeline or integrations between tools and dashboards.
- Set up automated alerts, anomaly detection, and scheduled reporting to reduce manual effort.
- Support in cleaning and structuring datasets for better analytical use.
4. Strategic Projects & Initiatives
- Lead and execute analytics-led initiatives such as:
- Pricing and discount effectiveness studies
- Customer segmentation or RFM analysis
- Inventory planning and store replenishment
- Loyalty program usage and effectiveness
- Sales projections and monthly/quarterly planning
- Scalable models for forecasting, category tracking, and customer analysis
- Collaborate cross-functionally with marketing, product, operations, and finance teams.
Qualifications
- Self-starter with strong ownership, attention to detail, and a problem-solving mindset.
- 2–5 years of experience in analytics, preferably in a D2C / eCommerce / consumer brand environment.
- Strong proficiency in Excel, Google Sheets, SQL, and at least one dashboarding tool (Google Data Studio, Power BI, Tableau, etc.).
- Comfort working with large datasets and joining multiple data sources.
- Familiarity with data from platforms like Shopify, Google Analytics, Meta Ads, and Google Ads.
- Ability to translate data into actionable business recommendations.
Preferred Skills (Good to Have)
- Experience with Python or R for automation or analysis.
- Understanding of marketing performance metrics and eCommerce funnels.
- Experience with CRM / retention analytics (Moengage, Webengage, CleverTap, Mixpanel, etc.).
- Exposure to data warehouse tools (BigQuery, Redshift, Snowflake, etc.) and ETL workflows.