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Roles and responsibilities
Specifically, 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 clients business and industry to identify trends and actionable insights
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
Salary Not Disclosed by Recruiter
IndustryKPO / Research / Analytics
Functional AreaAnalytics & Business Intelligence
Role CategoryAnalytics & BI
RoleAnalytics Manager
Keyskills
Client Management Segmentation Time Series Project Leading Data Analytics Machine Learning Analytical Techniques Client Relationship
Employment Type : | Full Time |
Eligibility : | Any Graduate |
Industry : | Telecom, IT-Hardware/Networking |
Functional Area : | IT Software : Software Products & Services |
Role : | Software Engineer |
Salary : | As per Industry Standards |
Deadline : | 20th May 2020 |
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