Assistant Manager - Data Analytics - Retail

Assistant Manager - Data Analytics

Job description for Data Analytics :

Desired Candidate :

- One who has experience in Marketing Analytics

- Churn Prediction

- Customer Segmentation

- Campaigning

- Machine Learning- Algorithms

- Linear Regression

- Logistics Regression

- Bootstrap

- Reports to Manager Data Mining

- Develop statistically verified models using data mining techniques to help business

- Use programming knowledge to Extract, Transform and Load the data in the required format

- Create end-to-end plans for various business campaigns to be executed in an automated manner

- Support business by providing necessary insights into the data and help in decision making

- Ensure the timely delivery of processes and reports by creating proper documentations and checklists

- Gather knowledge on latest developments in data mining areas from various channels like books, internet and research papers etc.

- Create processes which can accommodate newly gathered knowledge into actionable items

- Evaluate current processes and models. Recommend suggestions and optimize them for better results/efficiency

- Co-ordinate with team members both onshore and offshore for knowledge sharing, work status and discussions.

- Create proper documents and presentations for all process to ensure healthy transformations within team and to the business

- Engineering Graduates

- Should have excellent logical abilities and aptitude for new problems

- Motivated and driven by passion for Analytics/Technology/Business

- Have a record of taking initiatives and be ready to work independently with low or no help

- Display proven ability to think out of the box and come up with new ideas to improve existing process

- Willing to take responsibilities of deliverables and ownership of projects

- Should Explore new problems and learn new concepts/technologies quickly and efficiently

- Enthusiastic to go beyond the given instructions and add value to process and business

- Overall 4 years of experience

- 1-2 years of Experience with SQL, R (SSIS, Informatica etc.) is a must

- Candidate should have good knowledge of DBMS concepts and their practical usability

- 1-2 years of front end business experience dealing with clients and understanding their needs. Preferably in retail industry

- 1-2 years of hands on data modeling and statistical testing experience

- Should be comfortable with advanced statistical concepts and lingo

- 1-2 years of experience on working with advanced data mining technologies (R, SAS, SPSS etc.)

- Should have proven ability in automation work and reporting tools

- Should be quick and efficient with daily utilities like PPT, MS-Excel, VBA, Macros etc.