Data Analytics Lead Analyst

Citi Handlowy

Schaumburg, Illinois, United States
Base: $160,100 to $162,600; bonus/equity: discreti...
Hybrid
Data modeling
Data analytics
Data visualization
Architect and engineer highly flexible, scalable, and resilient data solutions within Personal Banking and Wealth Management division by harnessing advanced Extract Transform Load (ETL), Business Intelligence (BI), and other cutting-edge tools and technologies to meet critical project demands

Job Summary

  • Architect and engineer highly flexible, scalable, and resilient data solutions within Personal Banking and Wealth Management division by harnessing advanced Extract Transform Load (ETL), Business Intelligence (BI), and other cutting-edge tools and technologies to meet critical project demands.
  • Lead the strategic elicitation and synthesis of project requirements by engaging directly with key end-users and executive-level stakeholders.
  • In addition to salary, Citi’s offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards.

Matching Summary

Architect and engineer highly flexible, scalable, and resilient data solutions within Personal Banking and Wealth Management division by harnessing advanced Extract Transform Load (ETL), Business Intelligence (BI), and other cutting-edge tools and technologies to meet critical project demands.

Salary

Base: $160,100 to $162,600; Bonus/Equity: discretionary and formulaic incentive and retention awards; Benefits: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs.

Skills & Requirements

Must-have

  • Data Modeling
  • Data Analytics
  • Data Visualization
  • Data Integration
  • ETL and BI tools
  • Advanced SQL
  • Cloud Data Platforms

Nice-to-have

  • Strategic stakeholder engagement
  • Mentoring team members
  • Driving business objectives
  • Advisory counsel to leadership

Key Requirements

  • Bachelor's degree in Information Technology, Computer Science, or related field
  • 6 years of progressive experience
  • Experience with Tableau and Cognos
  • Experience with Informatica PowerCenter and IICS
  • Experience with Oracle, Teradata, SQL Server, Hive, Impala, Snowflake, AWS
  • Experience with Unix, Linux, Shell Scripting
  • Experience with Autosys and Maestro
  • Experience estimating time, effort and resources
  • Experience following data warehousing standards

Work Rights

Not specified

Tailored Resume

Cover Letter