Assistant Manager – Market Mix Modeling ( joining within 15 days to max 30 days time)

Roles and responsibilities

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.

Other Skills

• Excellent communication skills (both written and oral)
• Ability to create client ready deliverables in Excel and PowerPoint
• Optimization techniques (linear, non-linear), and knowledge of supply chain
• VBA, Excel Macro programming, Tableau, Qlikview