Job Description - Associate - Business Insights - Analytics

Myntra’s engineering team builds the technology platform that empowers our customers’ shopping experience and enables the smooth flow of products from suppliers to our customers’ doorsteps. We work on areas such as building massive-scale web-applications, engaging user[1]interfaces, big-data analytics, mobile apps, workflow systems, inventory-management etc. We are a small technology team where each individual has a huge impact. You will have the opportunity to be part of a rapidly growing organization and gain exposure to all the parts of a comprehensive ecommerce platform.


You will be part of: Analytics

Data is the lifeblood of e-commerce businesses and this is the team that manages all the company’s ata. The team has built a Big Data Platform to ingest data from a variety of data sources, standardize metrics and build data & analytics products. If you are interested in the fast growing field of big data and analytics, and want to work on big data engineering, building data visualization products and build analytical models (Insights) to power business decisions, then this is the team for you.

You will get to work on managing large data stores (both relational data-warehouses as well as non-relational stores like HDFS) and learn about how to build mammoth-scale event collection and processing systems. You will also learn a lot of the business, as this team is also responsible for calculating all the key business metrics for each team. The team uses Kafka, Spark, Scala, Java, RedShift, MemSQL, AeroSpike, Python, R, as well as web technologies (nodejs, react) for building data & analytics products.

You’re Responsibilities:

  • Displays structured problem solving, application of right tools & techniques to solve open ended problems, Creates productized analytics solutions or frameworks independently.
  • Understand Business problems and come up with data driven tech solutions.

  • Root cause analysis and Deep dive analysis of certain business problems using Machine Learning techniques.

  • Data integration and building a data warehouse for automating the Business Intelligence system

  • Running and maintaining the reporting system, presenting insights at a weekly forum

  • Building templates, dashboards in Excel or on the intranet for operational and management reporting

  • Data extraction as per business request for Ad hoc analysis

  • Business analysis and understanding

  • Evaluating metrics to be tracked as per business goals, exploring other available metrics for deeper understanding of business performance

  • Statistical and Analytical Models and methods for data analysis

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