Myntra - Senior Analyst - Business Insights - IIT/NIT/BITS

Position : Senior Analyst - Business Insights

Entity (MJI/MDPL/IK)- : MDPL

Relevant Experience : 3 Years

Qualifications :

Please specify Degree, Branch, Minimum reqd. CGPA/ % : BE.

Department : Engineering & Product Management

Function/Unit : Analytics

Employment type (FTE/Contract) : FTE

Location : Bangalore

Role Type (Individual Contributor/People manager) : IC

Responsibilities :

1. Displays structured problem solving, application of right tools & techniques to solve open ended problems, Creates productized analytics solutions or frameworks independently.

2. Understand Business problems and come up with data driven tech solutions.

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

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

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

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

7. Data extraction as per business request for Ad hoc analysis

8. Business analysis and understanding

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

10. Statistical and Analytical Models and methods for data analysis

Requirements :

SKILLS / EXPERIENCE

- 3+ years of experience in working on reporting / business intelligence systems

- Quick learner and ability to work in dynamic work environment

- Team player and comfortable interacting with people from multiple disciplines

- Expert knowledge of data manipulation language such asSQL.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 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, xGB (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

BE/ BTech from premier schools.