Urban Company
Location
Gurgaon | India
Job description
About the Company
- Urban Company is a tech-enabled home services marketplace. Customers use our platform to book services, such as beauty treatments, haircuts, massage therapy, cleaning, plumbing, carpentry, appliance repair, painting , which are delivered in the comfort of their home and at a time of their choosing. We promise our customers a high quality, standardized and reliable service experience. To fulfill this promise, we work closely with our hand-picked service partners, enabling them with technology, training, products, tools, financing, insurance, and brand, helping them succeed and deliver on this promise. Job Description As a Data Analyst, you will play a strong role in building a robust Data Warehouse and reporting layer in UC. You will play a key part in standardizing and centralizing definitions across teams for various metrics. Build Single source of definition, logic, computation, and documentation for each metric. The objective is to build Analytics – so that all reporting requirements are self-served. As you grow you will also play a key role in building Insights & Data Science solutions for Key business segments including – Supply Planning, Experience, Conversion, Predicting Request Loss Due to slot block, Designing Matchmaking System to make sure service professionals are well utilized etc. Key Data problems we are solving Matching the right professional for each customer request (match making) Quantifying how many requests were lost based on drop in conversion due to unavailable slots. Use this data for onboarding providers at hyper local level (capacity planning) Using various signals to find out fraud / disintermediation on the platform (Fraud detection) Customer Segmentation. Computing the state of the customer after each interaction. Use customer segment for home screen personalization and campaigns (personalization) Designing Match Making to make sure our professionals are well utilized (Provider Utilization) Identify customers, we should refund money easily whenever they face a bad experience. Objective is to maximize LTV with minimum cost (Customer Retention) Job Responsibilities Design the right schema to capture the most granular data. Align the engineering and product teams on the Data Granularity and accuracy requirements. Able to write complex SQL queries and Python scripts to power data pipelines in production Perform data analysis to test hypothesis and uncover factor influencing metric variations Ensure Single Source of truth for Key metrics Set up QC frameworks and build Alerts to detect bugs in the data pipeline. Standardize problem solving and build the solution ensuring outcome in form of actionable recommendations and enable adoption across all relevant product or business teams Build Feature Store for Data Science implementations Define the accuracy metric and automate model’s accuracy Understand and maintain the Data Science model in production (Input features, model accuracy, logging, Latency) Job Requirements Overall experience of 2-4 yrs. in Advanced Analytics/ Business Intelligence/Data Warehousing/Data Science Strong Background in Data Transformation Skills – SQL & Python. (Mandatory) Strong conceptual understanding on machine learning techniques - classical regression, logistic regression, cross validation, bagging, boosting and random forests etc. Strong expertise on Relational Databases Strong focus on adding value to business and ability to take complete ownership. Advanced degree in mathematics, statistics, physics, engineering or similar technical field with relevant work in probability, statistics and quantitative methods Platform thinking with focus on problem solving Able to execute with minimal guidance What can you expect? A phenomenal work environment with massive ownership and growth opportunities Work with tools like Snowflake, DBT and Superset Freedom to experiment around building data products Quick iterations and deployments – fail fast attitude Access to world class mentorship network Massive and direct impact of the work you do on lives of peopleJob tags
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