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Our client is a leading, world wide Fortune 500 Consulting outfit with over 260k employees. They are building out a Canadian Data team and looking to add a Data Analyst to their roster who has a good background with Exadata and Hadoop.

Responsibilities:

• Individual(s) would be assessing data assets and classifying attribute based on pre-established criteria and assigning them with a data classification part of Data Governance team
• Should be able to use querying languages SQL-Oracle/Exadata/HQL/Python to analyse complex data sets across different source systems and come up with data mapping for specific business use cases.
• Perform data gap analysis, data profiling, identify data lineage, interpret and document data flow within the data pipelines
• Perform data validation and come up with root cause for the mismatches.
• Needs to do exploratory work to gain understanding of the source system data, and provide recommendations on what will be suitable data sets to be used for a given use case.
• Liaise with business to understand business requirements, conduct exploratory sessions with SME's.
• Operate in an Agile environment and contribute to teams success.
• Should be able to understand different technologies (on prem & cloud) and be able to adapt and work in the ecosystem.
• Understand, interpret and relate business terminologies and leverage the same in providing business with insights on data related business use cases.

Technical Skills:

• 5-7 years of experience with data engineering/migration/DWBI/reporting projects in the role of business system analyst/data analyst/business analyst.
• Should be good with query languages - PL-SQL/SAS-SQL/HQL/Python.
• Good understanding of sequel functions, statistical functions for data analysis
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Good to have - technical experience regarding data models, database design development, data mining and segmentation techniques
• Good to have - ability to deal with structured, semi-structured, unstructured and streaming data
• Experience in Data Modernization initiatives is desired. (Cloud migration projects)
• Excellent Business Acumen and ability to understand business flows.
• Telecom Domain knowledge and experience is must.
• Experience in marketing transformation projects is preferred.