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Data Analytics Senior Lead

2 months ago

Mississauga, Ontario, Canada 00002 Citibank, N.A. Full time
Job Summary

Citibank, N.A. is seeking a highly skilled Data Analytics Senior Analyst to join our team. As a key member of our data analytics team, you will be responsible for performing complex and critical audits and assessments of our risk and control environments.

Key Responsibilities
  • Develop and maintain Computer Assisted Audit Tools and Techniques (CAATTs) using SQL-based analytical tools.
  • Perform independent testing of business data extractions and segmentations for completeness, accuracy, and applicability to internal audit testing and regulatory requirements.
  • Support Risk-Based Audits and Issue Validation through independent testing of data sets across multiple platforms.
  • Develop and support analytical solutions for continuous auditing across a wide array of our data landscape.
  • Leverage data science to conduct broad and deep testing to identify data quality concerns or potential weaknesses in data governance.
  • Possess strong analytical and interpersonal skills, making sound decisions and exhibiting initiative and intuitive thinking.
  • Apply knowledge of key regulations to influence analytical testing strategies.
  • Develop effective line management relationships to ensure a strong understanding of the business.
Requirements
  • Significant and demonstrable experience in writing SQL queries with a minimum of 3+ years of experience.
  • Senior-level experience in a related role with experience in providing scheduled and ad-hoc analytics or reporting.
  • Experienced understanding of management information systems, data analytics tools, and related best practices and control initiatives across the financial services industry.
  • Effective negotiation skills, a proactive and 'no surprises' approach in communicating issues and strength in sustaining independent views.
  • Strong interpersonal skills for interfacing with all levels of management.
Education
  • Bachelor's/University degree or equivalent in Analytics, Data Science, MIS, Mathematics, Computer Science, or Information Technology (IT) preferred.