Data Analyst (Governance)
Citi Bengaluru, Karnataka, India
Job Description
"Become a Data Analyst (Governance) at Citi and drive data-driven transformation across multiple functions to create actionable intelligence for business leaders."
As a Data Analyst (Governance) at Citi's AIM, you will play a crucial role in managing the implementation of best-in-class data quality measurement programs for the US region, retail consumer bank, and Wealth. This role involves working with Citi businesses and functions across the world to drive data-driven transformation.
In this position, you will be responsible for executing business data quality measurements as per regulatory programs like CCAR, AML, and identifying critical data elements in different systems, data quality rules design, testing, and validation of rules.
Why you should learn this:
The demand for Data Analysts (Governance) is high in the market, with a projected growth rate of 14% annually.
Expected Salary: $80,000 - $120,000 per annum, depending on experience and qualifications.
How it works:
- Develop and implement data quality measurement programs to ensure compliance with regulatory requirements.
- Design, test, and validate data quality rules to ensure accuracy and consistency of data across systems.
Core Concepts to Master
Data Governance
Data governance involves the development, implementation, and maintenance of policies, procedures, and standards for managing data across an organization. This includes ensuring data quality, security, and integrity, as well as compliance with regulatory requirements.
Data Quality Measurement
Data quality measurement involves assessing the accuracy, completeness, and consistency of data across systems. This includes developing and implementing data quality metrics, benchmarks, and standards to ensure data quality and integrity.
Data Quality Rules Design
Data quality rules design involves identifying critical data elements in different systems, designing data quality rules to ensure accuracy and consistency, and testing and validating rules to ensure their effectiveness.
Interview Questions (Beginner)
- What do you understand by data governance, and how would you implement it in a organization?
- Can you explain the importance of data quality measurement, and how would you develop data quality metrics?
- How would you design and test data quality rules to ensure accuracy and consistency of data?
Job Overview
Advance Questions
- • Can you describe a scenario where you had to implement data governance across multiple systems, and how did you ensure data quality and integrity?
- • How would you develop a data quality measurement program to ensure compliance with regulatory requirements, such as CCAR and AML?
- • Can you explain the technical aspects of data quality rules design, including data profiling, data cleansing, and data transformation?