Dwelly is an AI-enabled UK residential lettings player. We are taking existing (one might call them long unchanged) agencies processes and reengineering them to significantly elevate client experiences and improve efficiency.
Our headquarters are in Yorkshire, and today we are a team of 25.
Remote work (not from Russia), +/- London time zone.
Bank account outside Russia
What to do:
- to test hypotheses,
- to answer team questions through data,
- to solve optimization problems,
- to figure out how to get the maximum result in a minimum coding,
- to write scripts / make dashboards.
Why it's cool:
- experienced founders who have already walked this path before (built PIK Arenda),
- a large but compact and well-capitalized market: 20 thousand agencies on the island,
- we are now on the way from 0 to 1, then there will be scaling 1 -> N, and there is an opportunity to see how companies of different stages grow and develop
- to work with me (tbh there are different opinions on this =)
Requirements:
- grade from “Analyst 1” to “Senior Analyst” [skill & requirements guide],
- do not be afraid of diverse work and small data,
- remote work, +/- London time zone.
Analytics problems landscape
Pricing:
- to define optimal time for leads collecting for every property,
- to manage the flow of leads from classifieds through basic pricing (marketplace balance),
- to manage the auction of tenants within the product (behavioral economics),
- to pricing of services for landlords to maximize revenue, and control properties churn.
Market Analytics:
- there are parsed market data from one of the classifieds for the year
- to understand the market landscape, to keep an eye on market consolidation,
- to target agencies for acquisitions, in the case of a transaction, to know more about them than they know about themselves,
- to understand benchmarks for time to let and profitability of various real estate objects.
Product (interfaces, UX):
- analysis of product funnels and conversion leaks depending on user conditions,
- analysis and classification of incoming requests for property management (like "equipment is broken, there is a guarantee"),
- understand the behavior of landlords (why they sometimes choose a tenant with a smaller offer).
Finance:
- to build and understand the unit economy of each property (content, classifieds, KYC, text messages, office phone calls, offline views, etc.)
- to increase the profitability of renting real estate (globally — through product, pricing and processes),
- someday: to come up with insurance and financial products for landlords and tenants,
Marketing and processes:
- to explore and manage which classifieds to post the property on (maximize traffic while minimizing the cost of classifieds),
- to control that the operational staff does what it should: load control, following instructions, SLA.
