Data Analyst Associate
Quickeee
4 - 6 years
Mumbai
Posted: 15/06/2026
Job Description
Location: Mumbai
Department: E-commerce Analytics
Open Positions: 2
About Quickeee :
Quickeee is a fast-growing Mumbai-based startup transforming the fast fashion space with 60-minute delivery and an AI-powered styling experience. We cater to urban, time-conscious shoppers, bringing speed, personalization, and trend-first fashion together.
Role Overview :
We are looking for Analytics Associates to support business teams with data-driven insights, reporting, and performance analysis across e-commerce functions. The role requires strong analytical capabilities, business understanding, and hands-on experience with analytics tools.
Key Responsibilities :
- Build, maintain, and automate dashboards and reports for business stakeholders
- Analyze sales, inventory, pricing, traffic, and conversion metrics
- Support category, merchandising, and planning teams with insights and recommendations
- Monitor business KPIs and identify trends, risks, and opportunities
- Work with large datasets to generate actionable insights
- Create recurring reports and improve reporting efficiency through automation
- Collaborate with cross-functional teams including category, operations, marketing, and finance
- Perform ad-hoc analysis for business requirements
Required Skills :
-Technical Skills:
- Strong proficiency in Excel / Google Sheets
- SQL knowledge for data extraction and analysis
- Experience with Power BI / Tableau / Looker Studio
- Good understanding of data visualization and dashboarding
- Basic knowledge of Python is preferred
-Business Skills:
- Understanding of e-commerce metrics such as GMV, conversion, AOV, traffic, margins, inventory, sell-through rate, etc.
- Strong business acumen and problem-solving skills
- Ability to convert data into business recommendations
- Good stakeholder management and communication skills
Experience:
- 14 years of experience in analytics, e-commerce analytics, business intelligence, or retail analytics preferred
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