Data Science Senior Analyst
Company Name:-
Accenture
Job Location:-
India
Job Summary:-
Job Description
About Accenture:
Accenture is a leading global professional services company, providing a broad range of services in strategy and consulting, interactive, technology and operations, with digital capabilities across all of these services.
We combine unmatched experience and specialized capabilities across more than 40 industries – powered by the world’s largest network of Advanced Technology and Intelligent Operations centers.
With 514,000 people serving clients in more than 120 countries, Accenture brings continuous innovation to help clients improve their performance and create lasting value across their enterprises.
Visit us at www.
accenture.
comAbout Entity:
Corporate Functionsincluding Human Resources, Finance, Legal, Marketing Communications, and Workplace Solutions- powers Accentures people across industries and functions to keep our business leading in the New.
Join the heart and soul of Accenture, partnering with our extraordinary people to bring innovation into every organization.
Job description:
Description: Data Science Senior Analyst
Job Title: Data Science Senior Analyst
Organization: HR Talent Analytics & Insights
Career Level: 10 Senior Analyst
Primary Location: India (Gurugram/ Bangalore/Kolkata)
About the Team
The HR Talent Analytics & Insights (HRTAI) team includes more than 100 professionals across the world deployed to Accenture HR Service Delivery & Operations, and Accenture Operations for HR.
It serves as a single point of contact for our Stakeholders/Customers for all HR Reporting, Metrics, and Analytics needs.
The HR Advanced analytics team under HRTAI leverages advanced statistical/data science techniques and prescriptive analytics to address business problems, provide insights to HR stakeholders across organization units, markets and Talent CoEs.
Job Summary and Key Responsibilities
Manage, architect, and analyze big data to build data driven business insights and high impact data models to generate significant business value.
Create models and processes to collect, distill and interpret data with a view to aid better, more informed decision making.
Examine and explore data from multiple disparate sources with the goal of discovering insights which in turn can provid
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