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- 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 deliverable with associated priorities and constraints
- Organize/Prepare/Manage data and conduct quality checks to ensure that the analysis data set 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 the 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
Team Handling experience is a must.
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