Senior Consultant - Analytics

Summary

Senior Consultant - AnalyticsRoseland, New Jersey, United StatesRole and Responsibilities:Emphasis is on end-to-end delivery of analysis and guiding junior staffInteract with the client to understand the requirements and communicate / brainstorm solutionsExcellent communication skills to work with cross-functional stakeholders and lead meetings to understand the requirements for the project and periodically update the client on the progressContribute to how analytical approach is structured for specification of analysisContribute insights from conclusions of analysis that integrate with initial hypothesis and business objectiveIndependently address complex problemsParticipate in design of analysis and modeling approach with managers and modelersExtremely comfortable working with data, including managing large number of data sources, analyzing data quality, and pro-actively working with clients data/ IT teams to resolve issuesUse variety of analytical tools (SQL, Python) and techniques (regression, logistic, GLM, decision trees, machine learning, artificial intelligence etc.) to carry out analysis and drive conclusionsReformulate highly technical information into concise, understandable terms for presentationsCandidate Profile:Master's or Bachelor's degree in Data Science, Computer Engineering, Math, Statistics, Economics or analytics related field from top-tier universities with strong record of achievement3-6 years of consulting, analytics delivery experience with an entrepreneurial, hands-on approach to workVery strong analytical skills with the demonstrated ability to research and make decisions based on the day-to-day and complex customer problems requiredExperience with cost optimization through vendor harmonization/ demand prediction is preferredExperience with AI enablement is preferredExperience in Machine Learning or NLP experience in non-academic setup is preferredHands-on exposure to analytics tools (SQL, PowerBI, Python) and cloud technologies would be a plusStrong coding experience in Python/PySpark and SQL is a must. Familiarity with cloud technologies would be a plusPrior experience in management consulting and/or analytics-based consulting is desirable

Job Description

Senior Consultant - AnalyticsRoseland, New Jersey, United StatesRole and Responsibilities:Emphasis is on end-to-end delivery of analysis and guiding junior staffInteract with the client to understand the requirements and communicate / brainstorm solutionsExcellent communication skills to work with cross-functional stakeholders and lead meetings to understand the requirements for the project and periodically update the client on the progressContribute to how analytical approach is structured for specification of analysisContribute insights from conclusions of analysis that integrate with initial hypothesis and business objectiveIndependently address complex problemsParticipate in design of analysis and modeling approach with managers and modelersExtremely comfortable working with data, including managing large number of data sources, analyzing data quality, and pro-actively working with clients data/ IT teams to resolve issuesUse variety of analytical tools (SQL, Python) and techniques (regression, logistic, GLM, decision trees, machine learning, artificial intelligence etc.) to carry out analysis and drive conclusionsReformulate highly technical information into concise, understandable terms for presentationsCandidate Profile:Master's or Bachelor's degree in Data Science, Computer Engineering, Math, Statistics, Economics or analytics related field from top-tier universities with strong record of achievement3-6 years of consulting, analytics delivery experience with an entrepreneurial, hands-on approach to workVery strong analytical skills with the demonstrated ability to research and make decisions based on the day-to-day and complex customer problems requiredExperience with cost optimization through vendor harmonization/ demand prediction is preferredExperience with AI enablement is preferredExperience in Machine Learning or NLP experience in non-academic setup is preferredHands-on exposure to analytics tools (SQL, PowerBI, Python) and cloud technologies would be a plusStrong coding experience in Python/PySpark and SQL is a must. Familiarity with cloud technologies would be a plusPrior experience in management consulting and/or analytics-based consulting is desirable