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Shaadi.com, the flagship brand of People interactive, is the world&rsquo;s largest matrimonial service. It was founded with one simple objective &ndash; to provide a superior matchmaking experience to Indians worldwide. The company pioneered online matrimony in 1996 and has continued to lead the exciting matrimony category for 25 years. The service has touched the lives of 35 million people globally and helped over 6 million people find their matches. Among many other awards, Shaadi.com has been recognized as the Most Trusted Matrimonial site and is amongst the world&rsquo;s 50 Most Innovative Companies, alongside Apple, Google, Facebook, and Amazon. Shaadi.com has also been recognized as the world&rsquo;s most engaging brand on Facebook.

About Company

Shaadi.com, the flagship brand of People interactive, is the world&rsquo;s largest matrimonial service. It was founded with one simple objective &ndash; to provide a superior matchmaking experience to Indians worldwide.

Shaadi.com

Job description:

 
Overview - The team that looks at constantly extracting valuable information for use in strategic decision making, product development, trend analysis, and forecasting. We deal with all kinds of structured/unstructured (image, text, etc) data and build data-driven solutions to solve customer problems. Our continued endeavour is to help users find a suitable match for themselves at the earliest.

 
Role: A Data Analyst is responsible for understanding and deriving insights from the data collected by the company. He would be responsible for maintaining the data and building models from scratch using this data and also tuning and improving existing models as per business requirements.

What you will do in this role: 
● The Data Analyst will be responsible for understanding and deriving insights from the data collected by the company. 
● They would be responsible for maintaining the data and for performing extensive analysis from data to derive actionable insights as per business requirements. 
● They would have to quantify the impact of proposed initiatives, identify causations and correlations and differentiate between them. 
● They would have to perform clustering to segment customers or build decision trees to analyze churn or forecast using regression models. 
● They would have to assess the results of A/B experiments. 
● They would have to identify and build metrics and reports as and when 
required and automate these processes as expected.

A Data Analyst is responsible for understanding and deriving insights from the data collected by the company. He would be responsible for maintaining the data and building models from scratch using this data and also tuning and improving existing models as per business requirements.