| Company: | MYNTRA |
|---|---|
| Job Role: | Associate - Analytics & Business insights. |
| Experience: | (2-4 years) |
| Vacancy: | Not Mentioned. |
| Qualification: | B.Tech,BE in Computer Science or equivalent from a reputed college. |
| Salary: | Starts from Rs.60,000 |
| Location: | Bangalore |
| Join us on Telegram | Click Here |
| Apply Mode: | (Online) |
| Deadline: | Not Mentioned |
Using technology, Myntra's Engineering team empowers our customers' business. This makes it easier for our customers to purchase products from our suppliers Within walking distance. Among other things, we develop massive-scale web applications, engaging user interfaces, big-data analytics, mobile apps, workflow systems, inventory management, etc. Despite our small number of members, each of us makes a big difference. During your time at Rocket Internet, you will be exposed to all the parts of a comprehensive ecommerce platform.
You will be part of: Analytics
ATA is the team responsible for managing all the company's data. In order to ingest data from a variety of sources, standardize metrics, and build data & analytics products, the team has built a Big Data Platform. The Data Teams at Amazon Web Services are looking for individuals who are passionate about data science, and are interested in working on big data engineering, building data visualization products, and building analytical models to drive business intelligence. This course will expose you to both relational storage systems and non-relational storage systems such as HDFS. You will also learn how to design and implement systems that handle events that are mammoth in scope. Besides getting to learn about the business, you will also be required to calculate all the key metrics for every team in this department. To build data & analytics applications, the team utilized Kafka, Spark, Java, RedShift, MemSQL, Aero Synchron, Python, R, and web technologies (nodejs, react).
Your Responsibilities:
- Applying the right tools and techniques to solve open ended problems and creating productized analytics solutions or frameworks independently.
- Develop data-driven technical solutions for business problems.
- Machine-learning techniques are used to analyze the root causes and the details of certain business problems.
- Creating a data warehouse and automating the Business Intelligence system, maintaining the reporting system, and presenting insights at a weekly forum Creating templates and dashboards in Excel or on the intranet for operational and management reporting Extracting and analyzing data as per business requirements
- Understanding and analyzing the business environment
- Identifying metrics to track based on business goals, exploring other metrics
- In order to better understand business performance
- Methods and models of statistical analysis and data analysis
- 2-4 years' experience in working on reporting / business intelligence systems
- A rapid learner and a flexible worker
- Interacts well with people from different disciplines and is a team player
- Advanced knowledge of SQL and other data manipulation languages.
- Design and develop an algorithm for data collection and analysis using R, Python, SAS, SPSS, etc.
- Products relating to analytics;
- Design, identify and layout the right metrics for new dashboards;
- Displays proficiency in building dashboards on UDP and Tableau using best practices and
- Intuitive visualization
- Knowledge of ML techniques is not limited to statistical techniques
- Also, consider methods such as Random Forest, SVM, KNN, xGB
- An Apriori Solution (Gradient Boosting), A Naive Bayes Solution (Neural Network), and a Neural Network Classification are applied.
- Programming in integers, genetic algorithms, and nonlinear optimization -
- Techniques of advanced linear and nonlinear regression - Advanced clustering techniques
- Simulation, stochastic modeling, and queueing techniques
Apply Now Click Here
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