About the role
structured by ORIAbout Us: Join our dynamic and innovative startup skincare brand that is committed to redefining beauty standards with clean, effective, and sustainable products. Founded by beauty influencer Diipa Büller-Khosla, the brand emphasizes authenticity, and transparency, offering vegan and cruelty-free products that cater…
What you will do
- Dashboard Development: Design, build, and maintain interactive dashboards and reports using BI tools to track KPIs across e-commerce and marketing.
- Ad-Hoc Analysis: Fulfill complex data requests and perform deep-dive analyses to answer specific business questions and identify trends.
- Data Storytelling: Translate raw data into clear, actionable insights and present findings to non-technical stakeholders to guide strategic initiatives.
- Metric Monitoring: Continuously monitor e-commerce and marketing performance metrics, proactively identifying anomalies or opportunities for optimization.
- Cross-functional Collaboration: Partner closely with the digital, marketing, and procurement teams to align data strategies with overarching business goals.
What they are looking for
- Experience: 1-2 years in data analytics, business intelligence, or a related field
- Technical Expertise: Solid understanding of data analysis techniques, statistical concepts, and data visualization best practices.
- Education: Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
- Skills: Strong analytical and problem-solving skills, excellent communication, and high attention to detail.
- Tools: Proficiency in SQL and Advanced Excel; strong experience with BI platforms (e.g., Tableau, PowerBI, Looker)
Nice to have
- Experience ideally within the e-commerce, beauty, or lifestyle sectors.
- Basic knowledge of Python or R is a plus.
Benefits
- Competitive salary
- Access to the latest skincare products and industry insights
- 1 day WFH per week
Full posting text
About Us:
Join our dynamic and innovative startup skincare brand that is committed to redefining beauty standards with clean, effective, and sustainable products. Founded by beauty influencer Diipa Büller-Khosla, the brand emphasizes authenticity, and transparency, offering vegan and cruelty-free products that cater to diverse skin types while celebrating cultural heritage. We believe in empowering our customers with science-backed skincare solutions, and we're looking for a data-driven problem solver with a passion for uncovering insights to help us take our brand to the next level.
Brand: https://india.indewild.com/
About the Role:
The primary objective of this role is to drive data-informed decision-making by analyzing complex datasets, building intuitive dashboards, and uncovering actionable business insights to support our growth and digital strategies.
Key Responsibilities:
- Data Analysis & Reporting
Dashboard Development: Design, build, and maintain interactive dashboards and reports using BI tools to track KPIs across e-commerce and marketing.
Ad-Hoc Analysis: Fulfill complex data requests and perform deep-dive analyses to answer specific business questions and identify trends.
Data Storytelling: Translate raw data into clear, actionable insights and present findings to non-technical stakeholders to guide strategic initiatives.
- Data Quality & Business Support
Metric Monitoring: Continuously monitor e-commerce and marketing performance metrics, proactively identifying anomalies or opportunities for optimization.
Cross-functional Collaboration: Partner closely with the digital, marketing, and procurement teams to align data strategies with overarching business goals.
Quality Assurance: Ensure data accuracy and consistency across all reporting platforms by conducting regular data validation checks.
Ideal Candidate Profile:
Experience: 1-2 years in data analytics, business intelligence, or a related field, ideally within the e-commerce, beauty, or lifestyle sectors.
Technical Expertise: Solid understanding of data analysis techniques, statistical concepts, and data visualization best practices.
Education: Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related quantitative field.
Skills: Strong analytical and problem-solving skills, excellent communication, and high attention to detail.
Tools: Proficiency in SQL and Advanced Excel; strong experience with BI platforms (e.g., Tableau, PowerBI, Looker); basic knowledge of Python or R is a plus.
Why Join Us?
Opportunity to shape the data strategy of a high-potential skincare startup.
Work in a creative and collaborative environment with a passionate team.
Competitive salary
Access to the latest skincare products and industry insights.
Other details:
Office location: One Lodha Place, Lower Parel, Mumbai
Working days: Monday to Friday
Working from office: 4 days in office, 1 day WFH
Seniority level: Entry level
Employment type: Full-time
Job function: Product Management
Industries: Retail