Acunor · 2 days ago

Analytics Engagement Manager

New York, NY

Full-time

Hybrid

Senior Level

8+ years exp

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AnalyticsCloud Management

Hiring Manager

Pradeep Naidu

Insider Connection @Acunor

Discover valuable connections within the company who might provide insights and potential referrals, giving your job application an inside edge.

Responsibilities

Emphasis is on end-to-end delivery of analysis and guiding junior staff 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 client’s data/ IT teams to resolve issues

Use variety of analytical tools (SAS, CART, SPSS, Python etc.) 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

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

ConsultingAnalytics DeliveryClient CommunicationSQLSASRPythonHiveAnalytical ToolsCARTSPSSMachine LearningRegressionLogisticGLMDecision TreesProblem-SolvingCommunicationFinancial servicesRetail

Required

Minimum 8 years of consulting, analytics delivery experience is a must. Experience leading and building team, and managing senior client communication.

Very strong analytical skills with the demonstrated ability to research and make decisions based on the day-to-day and complex customer problems required

Hands on experience of handling large data sets and use of SQL / SAS / R / Python / Hive for data analysis

Experience of using a variety of analytical tools (SAS, CART, SPSS, Python etc.) and techniques (regression, logistic, GLM, decision trees, machine learning, etc.)

Master’s or Bachelor's degree in math, statistics, economics, computer engineering or related analytics field from top-tier universities with strong record of achievement.

Outstanding written and verbal communication skills.