Job Details

ID #44699311
State North Carolina
City Charlotte
Job type Contract
Salary USD $60 - $70 60 - 70
Source Synechron
Showed 2022-08-08
Date 2022-07-20
Deadline 2022-09-18
Category Et cetera
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Sr Data Analyst(Data modelling)

North Carolina, Charlotte, 28201 Charlotte USA

Vacancy expired!

Synechron is a leading digital transformation consulting firm focused on the financial services industry and is working to Accelerate Digital initiatives for banks, asset managers, and insurance companies around the world. Synechron uniquely delivers these firms end-to-end Digital, Consulting and Technology capabilities with expertise in wholesale banking, wealth management and insurance as well as emerging technologies like Blockchain, Artificial Intelligence, and Data Science. Based in New York, the company has 22 offices around the globe, with over 13,000 employees producing over $800M+ in annual revenue. Learn more at: www.synechron.com

Synechron Inc is seeking Sr Data Analyst(Data modelling)- financial services to join our Charlette, NC team.

Skills Required:
  • Execute research and analytics, including data sources identification, processing, data modelling, turning insights into actionable recommendation.
  • 5+ year Experience in database design and development with Oracle Exadata
  • Strong SQL knowledge and data modelling in Oracle Exadata
  • Familiarity with the basic concepts of relational data modelling and database design.
  • Create and maintain optimal data pipeline architecture,
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
  • Work with stakeholders including Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Experience building and optimizing data pipelines, architectures, and data sets.
  • A successful history of manipulating, processing, and extracting value from large, disconnected datasets.

Vacancy expired!

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