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
Qualifications
Required:
6+ years experience with relevant technology consulting experience to include, enterprise-scale technical experience with cloud and hybrid infrastructures for data and analytics, architecture designs, migrations, and technology management
3+ years of relevant technology architecture consulting or industry experience with ability to contribute to an end-to-end Architecture and Solution overview using native Amazon Web Services (AWS) tools
1+ years experience leading workstreams within complex technology engagements with resources in multiple locations
Bachelor's Degree or equivalent professional experience
Travel up 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.
Preferred:
Experience with Snowflake cloud data warehouse highly preferred
H ands-on experience with SQL, Spark and Python
Experience with Amazon Web Services (AWS) to include:
Amazon Kinesis - Data Analytics, Data Firehose, Video Streams
Amazon S3
Amazon EMR
Amazon Redshift
Amazon DynamoDB
Amazon Glue
Hands-on experience in SQL with Redshift and Snowflake
Programming experience with Unix/Shell scripting
Experience with Amazon Lambda
Experience with Amazon Athena
Cloud infrastructure management experience with Data & Analytics tools and services
AWS Certifications
Experience with other leading commercial Cloud platforms, including Azure and Google
Experience with unstructured data
Hands-on experience with Orchestration tools like Airflow or Step function
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
