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Company (NYSE:Company) drives the world forward by tackling its biggest challenges. By combining world-class engineering with software and analytics, Company helps the world work more efficiently, reliably, and safely. Company people are global, diverse and dedicated, operating with the highest integrity and passion to fulfill Company’s mission and deliver for our customers. Company website
Company offers a great work environment, professional development, challenging careers, and competitive compensation. Company is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, gender (including pregnancy), sexual orientation, gender identity or expression, age, disability, veteran status or any other characteristics protected by law.
The Intern Consultant, Analytics will work with clients and multi-disciplinary consulting teams and will possess strong analytical skills, a structured approach to problem solving and experience with process improvement and statistical analysis.
The Analytics Associate Consultant Intern will assist in the delivery of productivity solutions for Company Healthcare clients. Analytics Consulting is an exciting discipline combining traditional consulting with analytics disciplines such as data science, statistics, simulation and predictive modeling. Engagements follow a problem back approach, leveraging interviews and data mining to align clients around high-value problem statements, then designing targeted solutions to improve performance. Project types include designing efficient healthcare facilities, re-configuring existing capacity for patient throughput and experience, improving health system utilization and implementing real-time analytics in command centers to dynamically optimize coordination of patient care.
Contributing to engagement deliverables, coordinate activities and provide any necessary support to the engagement team.
Assisting in the collection, validation and analysis of data to support engagement objectives.
Assisting in the preparation of clear and insightful executive-level presentations.
Participating in Knowledge Management activities as directed.
Candidate pursuing Degree in Engineering, Math or Statistics or related discipline
Formal problem solving, logic
Experience with analytic techniques: regression analysis, simulation modeling, timeseries
forecasting, hypothesis testing using R, SAS or similar software
Experience programming in Java, C# or similar production level language applied to data
management, algorithms and automation
Experience with Microsoft Office programs
Data management in SQL or Oracle, understanding of Data Mining principles and strategies
Hands on experience with data visualization and dashboard development in Tableau, Qlik or similar
Excellent communication skills, teamwork
Ability to travel minimum 75%
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