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Job Overview

Functional Area


Work preferred

Work from Office


Min Experience

2 Years

Max Experience

5 Years


Data Analyst

Closing : 14 Jul 2023

Our Client is a leading financial product company that offers unprecedented value to Americans through payment products.

  • From out Client :

Were a different kind of bank with a different type of team-were collaborative and supportive and have the freedom and responsibility to thrive. Our purpose is to make the everyday simple and better for our customers, and we strive to make every dollar worth more. Proudly serving over 7 million customers, we continue to grow by offering payment solutions and services that reward our customers every day.

  • Why This Role is Important :

The objective of our Payment Decision Support team is to provide reporting and analytics services to allow us to capitalize on diverse sources of data to improve the understanding of customer behaviors to drive profitability and improve customer experience. This role will deliver accurate, easy-to-use and timely data and reporting solutions to enable evidence-based decisions across the enterprise.

  • What Youll Do :
  • Code using SQL, SAS, and Python, in SAS and Google Cloud platforms.
  • Build and produce business critical data processes
  • Optimize and automate data solutions
  • Build data marts and Tableau/Excel reports
  • Follow and implement data standards, guidelines on data ownership, coding structures
  • Monitor data quality and identify, investigate, and resolve data discrepancies
  • Interact with partners at various levels to deliver data solutions, identify use-cases around data and data processes
  • Closely adhere to legal guidelines regarding working with critical and confidential information
  • What Youll Need :
  • 2-5 years of experience in a data analytics role, preferably in financial services/banking domain
  • University degree in Computer Science/Engineering/Analytics
  • Solid understanding of Python and Cloud technology. Experience with GCP (Google Cloud Platform) is a bonus.
  • Understanding of data warehouse and data mart concepts
  • Working knowledge of relational databases and SQL data extraction and manipulation tools
  • Experience in SAS and BI tools.
  • Ability to interpret sophisticated data flow and translate it into concise, -easily understood solution plans to senior staff members
  • Demonstration of problem solving using combination of technical know-how, soft skills and business understanding
  • Experience in any of the following verticals is an asset: financial services/banking, credit cards/payments, ETL pipeline build, data mart creation, process automation.
  • Ability to prioritize between challenging tasks/requirements in a fast-paced environment



AnalyticsAutomationData AnalystData AnalyticsData ExtractionData QualityEtlProblem SolvingProcess AutomationPythonQualityReportingSasSqlTableau