Data Analytics
PythonAbout The Position:
The core of our Real Estate Tech ecosystem is the products we build and the Data that powers them. With a large number of products and business functions in place, Data flows massively into our backend. transactions, click events, uploads, updates, geospatial events, etc. flows in the system in large volumes and varieties. Constant monitoring of KPIs for all the product and business functions is an integral part of our success. As a product analyst, you will be an integral part of driving this success.
You will work closely with Product & Data Sciences to define KPIs, Report & Track them. You will breathe Data and with the spirit communicate to Business, understand problems, answer questions and create strategic solutions with Data. Your numbers and dashboards will drive business decisions, product enhancements & track product metrics.
An ideal candidate should possess strong analytical capabilities in Big Data with equal product & business acumen along with fluid communication abilities. They should have a strong quantitative/technical background, natural curiosity, and the ability to influentially communicate to senior leadership with numbers and strategic insights.
If you can talk numbers with people who run the shop, you are the one we are looking for.
What will you bring:
- Strong quantitative aptitude with a keen product inclination
- Passion for consumer products with an equal affection to Data
- Undergraduate and/or graduate degree in Math, Economics, Statistics, Engineering, Computer Science, or other quantitative fields
- Proven track record in quantitative analytics
- Proficient in SQL - the language of Data
- Strong foundations in Statistics - the grammar of Data
- Proficient in at least one of the following analytics tools - Pandas/R (Not Excel)
- Fluid scripting abilities with Python
- Strong understanding of the grammar of Data Visualization with the ability to make expressive reports and dashboards
- Strong interpersonal skills - verbal and written
- Strong understanding of experimentation methods (hypothesis testing, product experimentation, regressions, experimentation logic, and biases)
- Strong understanding of product growth optimization methods - tracking activity funnels, drop rates, outbound communication strategies like push, recommendations, emails, etc.
- Ability to function smoothly in a collaborative environment with Product, Business & Data Sciences
What we have to offer?
- An exciting and challenging working environment with passionate and enthusiastic people that builds an entrepreneurial mind-set.
- Be part of a start-up from the very beginning, work directly with founders, lead your area of expertise, build kickass products, and be a part of this exciting growth journey of changing the world.
- Best in class Salary
We are an equal opportunity employer and value diversity at our company. We do not discriminate based on caste, race, religion, color, national origin, gender, sexual orientation, age, marital status, or disability status.
Shubham Vishwakarma
Full Stack Developer - Averlon
About NoBroker
About
NoBroker is a new and disruptive force in the Real Estate Industry. We’re a site that’s built to let you buy, sell, rent, find a PG or a flatmate WITHOUT paying any brokerage.
Our mission is to lead India’s real estate industry, towards an era of doing real estate transactions in a convenient and brokerage-free manner. We currently save our customers over 250 crores per year in brokerage. NoBroker was founded by alumni from IIT Bombay, IIT Kanpur & IIM Ahmedabad in March 2014 and have since served over 35 lakh customers. As a VC funded company, we’ve raised over 20M+ in a couple of rounds of funding. We’re a team of 350 people driven by passion, the passion to help you fulfil your housing requirement, without paying a hefty brokerage.
NoBroker has worked tirelessly to remove all information asymmetry caused by brokers. We also enable owners and tenants to interact with each other directly by using our technologically advanced platform. Our world-class services include-
1-Verified brokerage-free properties for buyers and tenants
2- Quick brokerage-free tenants & buyers for property owners
3-Benefit rich services including online rental agreement and dedicated relationship managers
Our app (70 lakhs+ downloads) and our website serve 4 cities at present – Bangalore, Mumbai, Pune and Chennai. Our rapid growth means that we will keep on expanding to more cities shortly.
Are you looking for huge work- independence, passionate peers, steep learning curve, meritocratic work culture, massive growth environment with loads of fun, best-in-class salary and ESOPs? Just apply to our jobs below :-)
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Full Stack Developer - Averlon