Project Manager

Inizio Partners Corp•Roseland, NJ

22h

About The Position

Role: Project Manager, Analytics Location: Roseland, NJ Role and Responsibilities: Emphasis is on end-to-end delivery of analysis and guiding junior staff Interact with the client to understand the requirements and communicate / brainstorm solutions Excellent 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 progress Contribute to how analytical approach is structured for specification of analysis Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective Independently address complex problems Participate in design of analysis and modeling approach with managers and modelers Extremely 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 issues Use variety of analytical tools (SQL, Python) and techniques (regression, logistic, GLM, decision trees, machine learning, artificial intelligence etc.) to carry out analysis and drive conclusions Reformulate highly technical information into concise, understandable terms for presentations Candidate 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 achievement 6-10+ years of consulting, analytics delivery experience with an entrepreneurial, hands-on approach to work Very strong analytical skills with the demonstrated ability to research and make decisions based on the day-to-day and complex customer problems required Experience with cost optimization through vendor harmonization/ demand prediction is preferred Experience with AI enablement is preferred Experience in Machine Learning or NLP experience in non-academic setup is preferred Hands-on exposure to analytics tools (SQL, PowerBI, Python) and cloud technologies would be a plus Strong coding experience in Python/PySpark and SQL is a must. Familiarity with cloud technologies would be a plus Prior experience in management consulting and/or analytics-based consulting is desirable

Requirements

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 achievement
6-10+ years of consulting, analytics delivery experience with an entrepreneurial, hands-on approach to work
Very strong analytical skills with the demonstrated ability to research and make decisions based on the day-to-day and complex customer problems required
Strong coding experience in Python/PySpark and SQL is a must
Familiarity with cloud technologies would be a plus

Nice To Haves

Experience with cost optimization through vendor harmonization/ demand prediction is preferred
Experience with AI enablement is preferred
Experience in Machine Learning or NLP experience in non-academic setup is preferred
Hands-on exposure to analytics tools (SQL, PowerBI, Python) and cloud technologies would be a plus
Prior experience in management consulting and/or analytics-based consulting is desirable

Responsibilities

end-to-end delivery of analysis
guiding junior staff
Interact with the client to understand the requirements and communicate / brainstorm solutions
Work with cross- functional stakeholders and lead meetings to understand the requirements for the project and periodically update the client on the progress
Contribute to how analytical approach is structured for specification of analysis
Contribute insights from conclusions of analysis that integrate with initial hypothesis and business objective
Independently address complex problems
Participate in design of analysis and modeling approach with managers and modelers
managing large number of data sources, analyzing data quality, and pro-actively working with clients data/ IT teams to resolve issues
Use variety of analytical tools (SQL, Python) and techniques (regression, logistic, GLM, decision trees, machine learning, artificial intelligence etc.) to carry out analysis and drive conclusions
Reformulate highly technical information into concise, understandable terms for presentations