DotPe
Website:
dotpe.in
Job details:
About DotPe:
DotPe is a Gurugram-based technology and commerce platform founded in 2019, focused on enabling businesses to digitize and scale their offline-to-online operations.
Backed by leading global investors including Google, PayU, Temasek, and Info Edge Ventures, DotPe provides a full-stack suite of solutions across ordering, payments, POS, delivery, marketing, and commerce enablement for enterprise as well as SMB merchants.
Today, the platform powers businesses across multiple sectors and has successfully enabled the digitization of over 7.5 million merchants across India.
About the Role: -
As the owner of the revenue intelligence layer for DotPe Horizon, your mission is to convert raw merchant data into high-impact insights, performance diagnostics, and growth interventions.
This role goes far beyond traditional reporting as we are looking for a sharp, structured business thinker who can seamlessly translate data into commercial decision support and strategy.
Key Responsibilities:
Build structured revenue and performance dashboards across:
• SKU performance
• Channel mix
• AOV and order behavior
• Multi-location benchmarking
Develop diagnostic frameworks to identify:
• Revenue concentration risks
• Demand patterns
• Growth bottlenecks
• Performance volatility
Partner with Sales teams to:
• Support merchant pitches with data-backed insights
• Build customised performance narratives
• Quantify the impact of interventions
Define and institutionalize:
• Weekly KPI reporting
• Executive dashboards
• Performance review templates
• Build scalable BI processes and data models that can support 1000+ merchants over time.
Ideal Candidate Profile
Experience:
• 3+ years in Business Intelligence, Analytics, or Data Strategy
• Experience working with transactional / revenue datasets
• Prior exposure to retail, QSR, marketplace, or consumer business preferred
• Demonstrated ability to balance and deliver on both external client requests and internal business intelligence needs
Technical Skills:
• Strong Excel and data modeling capability
• SQL, Python and Alteryx proficiency
• Experience with Power BI / Tableau or similar visualization tools
• Ability to structure raw data into clean analytical outputs
Business Skills:
• Strong problem structuring
• Comfort with revenue metrics (GMV, AOV, contribution logic)
• Ability to translate data into business decisions
Click on Apply to know more.