| Company: | MYNTRA |
|---|---|
| Job Role: | Manager - Analytics & Business Insights. |
| Experience: | (4-6 years). |
| Vacancy: | 15+ |
| Qualification: | B Tech/BE in Computer Science or equivalent from a reputed college. |
| Salary: | ₹12,18,782/year. |
| Location: | Bangalore, Karnataka, India. |
| Join us on Telegram | Click Here |
| Apply Mode: | (Online) |
| Deadline: | Not Mentioned |
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 specialize in building web applications, user interfaces, 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. We have built a Big Data Platform to ingest data from a variety of sources, standardize metrics, and build data and analytics products. If you are interested in the rapidly growing field of big data and analytics and want to work on building data visualization products and building analytical models (Insights) to drive business decisions, then this is the team for you.
This course will expose you to managing large data stores (both relational and non-relational data stores such as HDFS), as well as building mammoth-scale event processing and collection systems. The team is also responsible for calculating all of the key business metrics for each team, so you'll gain a lot of business knowledge. Kafka, Spark, Scala, Java, RedShift, MemSQL, AeroSpike, Python, R, and Web Technologies (Nodejs, React) are used to build data & analytics applications.
Your Responsibilities:
- Displays a structured approach to problem solving, employs the right tools and techniques to solve open-ended problems, and creates productized analytics solutions or frameworks independently.
- Develop data-driven solutions to business problems.
- Deep dive analysis of certain business problems using Machine Learning.
- Integrating data and building a data warehouse to automate Business Intelligence
- Conducting weekly forums, presenting insights from the reporting system
- Templates and dashboards for operational and management reporting using Excel and the intranet
- Ad hoc data extraction based on business requests
- Understanding the business environment
- Assessing metrics to be tracked according to business goals, exploring other metrics available for a better understanding of business performance
- Methods and models for the analysis of statistical data
Desired Skills and Experience:
- 4-6 years of experience with reporting and business intelligence systems
- Quick learner and able to work in a dynamic environment
- Team player and comfortable interacting with people from a variety of disciplines
- Advanced knowledge of modeling software such as R, Python, SAS, SPSS. Plans and develops data flow for analytics products;
- A proven ability to create dashboards, identify metrics, and lay them out; knowledge of UDP and Tableau building techniques; user-friendly data visualization expertise
- In addition to statistical techniques, applied knowledge of many commonly used ML, OR, other soft computation techniques such as - Random Forest, SVM, KNN, xGB (Gradient Boosting) - Apriority (association rules), Naïve Bayes Classification - Neural Nets, Genetic Algorithm - Integer and MILP Programming, Non Linear Optimizations - 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.
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