About this opportunity
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 customer's doorsteps. We work on areas such as building massive-scale web applications, engaging user 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 building 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 about 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.
Your 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
Desired Skills And Experience
- 1-3 years of experience in working on reporting/business intelligence systems
- Quick learner and ability to work in the dynamic work environment
- Team player and comfortable interacting with people from multiple disciplines
- Expert knowledge of data manipulation languages such as SQL.Advanced knowledge of modeling tools such as R, Python, SAS, SPSS. Designs and develops data flow for analytics products;
- Established expertise in designing new dashboards, identifying the right metrics, layout; displays proficiency in building dashboards on UDP and Tableau using best practices and intuitive visualization
- In addition to statistical techniques, applied knowledge of many commonly used ML, OR, other soft computation techniques such as - Random Forest, SVM, KNN, GB (Gradient Boosting) - Apriori (association rules), Naive Bayes Classification - Neural Nets, Genetic Algorithm - Integer and MILP Programming, Non-Linear Optimisation - Advanced linear and non-linear regression techniques - Advanced clustering techniques - Queueing techniques, Stochastic modeling and Simulation
Qualifications
- B Tech/BE in Computer Science or equivalent from a reputed college