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 data. 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.
- Displays structured problem solving, application of right tools & techniques to solve open ended problems, Creates productized analytics solutions or frameworks independently.
- Understand Business & product problems and come up with deep data backed solutions.
- Root cause analysis and Deep dive analysis of certain product problems
- 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 team 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 product performance
- Mentor Data analysts on day to day analysis and upskilling
- Work in a fast-moving environment, across multiple projects with varying levels of complexity and detailing
- 1-3 years working with large data sets and conducting quantitative analysis
- Some understanding of Statistics and prior experience of building statistical models (e.g. hypothesis testing, product experimentation, A/B Testing, regressions).
- Excellent knowledge SQL and expert knowledge of data manipulation language such as Python
- Previous experience with working on ecommerce funnels, retention
- Applied knowledge of most used techniques as well as many new / upcoming / niche analytics techniques
- Ability to think through product and business metrics to assess product features
- Knowledge of business modelling and basic knowledge of financial metrics, would be a bonus
- Quick learner and ability to work in dynamic work environment
- Team player and comfortable interacting with people from multiple disciplines
- Established expertise in designing new dashboards, identifying the right metrics, layout; displays proficiency in building dashboards on UDP and Power BI using best practices and intuitive
- B Tech/BE in Computer Science or equivalent from a reputed college.
