Specifically, Assistant Managers should - Understand the client objectives, and work with the Project Lead (PL) to design the analytical solution/framework. Be able to translate the client objectives / analytical plan into clear deliverables with associated priorities and constraints - Organize/Prepare/Manage data and conduct quality checks to ensure that the analysis dataset is ready - Explore and implement various statistical and analytical techniques (including machine learning) like linear/non linear Regression, Decision Trees, Segmentation, time series forecasting as well as machine learning algorithms like Random Forest, SVM, ANN, etc. - Conduct sanity checks of the analysis output based on reasoning and common sense, and be able to do a rigorous self QC, as well as of the work assigned to junior analysts to ensure an error free output - Interpret the output in context of the client's business and industry to identify trends and actionable insights - Be able to succinctly visualize the findings through a PPT, a BI dashboard (Tableau, Qlikview, etc.) and highlight the key takeaways from a business perspective - Be able to take client calls relatively independently, and interact with onsite leads (if applicable) on a daily basis - Discuss queries/certain sections of deliverable report over client calls or video conferences Client Management - Act as client lead and maintain client relationship; make independent key decisions related to client management - Be a part of deliverable discussions with clients over telephonic calls, and guide the project team on the next steps and way forward Most Important Requirements: - Superior problem solving abilities and strong analytical thinking - Desire to work in a fast paced, challenging environment where you need to push yourself all the time - Excellent communication skills, both written and verbal - Solution orientation and self drive Ideal Candidate - 4-6 years of relevant advanced analytics experience in Marketing, CRM, Pricing in either Retail, or CPG industries. Other B2C domains can be considered - Experience in managing, cleaning and analyzing large datasets using tools like Python, R or SAS - Experience in using multiple advanced analytics techniques or machine learning algorithms - Experience in handling client calls and working independently with clients - Understanding of consumer businesses such as Retail, CPG or Telecom - Knowledge of working across multiple data types and files like flat files, RDBMS files; multiple data platforms (SQL Server, Teradata, Hadoop, Spark); on premise or on the cloud - Knowledge of advanced statistical techniques like Decision trees, different types of regressions, clustering, Forecasting (ARIMA/X), ML, etc.

Delhi NCR

The Smart Cube - Assistant Manager - Data Analytics 

The Smart Cube - Assistant Manager - Data Analytics  ,Job Description for The Smart Cube - Assistant Manager - Data Analytics  in The Smart Cube in  Delhi NCR for (4-7) years of experience. Apply Now!

Job Description for The Smart Cube - Assistant Manager - Data Analytics  in The Smart Cube in  Delhi NCR for (4-7) years of experience. Apply Now!