In this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.
The Analytics & Cognitive team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.
Analytics & Cognitive will work with our clients to:
Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms
Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions
Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements
3+ years of relevant technology consulting or industry experience with ability to contribute to an end-to-end architecture and solution overview using Google Cloud Platform (GCP) tools
At least one FLC implementation using GCP toolset
3+ months experience with SQL and Python
1+ years experience leading workstreams within complex technology engagements with resources in multiple locations
Bachelor's Degree or equivalent professional experience
Travel up to 50% (While 50% of travel is a requirement of the role, due to COVID-19, non-essential travel has been suspended until further notice.)
Limited immigration sponsorship may be available.
Experience with Snowflake cloud data warehouse highly preferred
Experience with GCP Cloud DataFlow highly preferred
Experience with Spark highly preferred
Experience with GCP to include:
Cloud Data Fusion,
Also, Apache Kafka
Experience with other leading commercial Cloud platforms, including Azure and AWS
Strong oral and written communication skills, including presentation skills (ie: MS PowerPoint)
Ability to create critical collaterals for client workshops and customer interactive sessions
Strong problem solving and troubleshooting skills with the ability to exercise mature judgment
An advanced degree in the area of specialization is preferred
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