Job Location: Noida
oles and responsibilities
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 clients 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
4-9 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
Education
Engineers from top tier institutes ( IITs, DCE / NSIT, NITs ) or Post Graduates in Maths / Statistics / OR from top Tier
Colleges / Universities
MBA from top tier B-schools
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