Data Quality & Modeling Assurance Specialist/ Analyst/ Senior Analyst

Role Description

Designs, analyzes and develops Effective Assurance Techniques which are used to profile, detect and resolve any data issues across the Data Life cycle or within the Data Model Loading Activities that meet the needs of the organization and he is involved in developing the Methodology of Data Integration and Reporting to utilize the Data Warehouse Models to the best benefit of the Bank.

•Design, Analyze and Build the needed scripts to support the Data Loading operations to ensure the overall banks Data Quality.

•Design, Analyze and Develop Quality Data Models for the Data Warehouse serving different Bank entities (Finance, Risk, Marketing, etc.)

•Effectively use Data Quality Tools in alignment with the Data Integration Team

•Support in the process of the Data Analysis from the different Data Sources and how it is reflected to the Data Warehouse. In order to serve the Business requirements and Business Analysis.

•Effectively use Data Quality and Data Lineage Tools to create the Data Warehouse Models easily in alignment with the Data Integration and Data Governance Teams 

•Ensure data is handled ethically and all processes are undertaken in compliance with company policy, internal controls, data protection legislation and relevant national / industry standards. 

•Oversee the Operation of the Data Quality Tools which are used to ensure both the Quality of the Bank’s Data on a periodic or specific time frames  

•Identify opportunities through which to deliver process efficiency / improvement and develop business proposals through which to communicate and deliver the change.

Requirements

Core Competencies:

•Performance Excellence 

•Collab. & Creating Synergy

•Agility & Resilience

•People Centricity 

Technical Competencies:

•Sourcing, accessing and manipulating data and engineering data processes

•Knowledge of the Data Quality Systems to ensure the Operations of Data Quality Standards

•Excellent Knowledge of Modeling Techniques and how to apply them to different use cases

•Experience with DWH and Data Modeling

•Ability to Data Analysis

•Data Modeling Tools (i.e. Erwin)

•Data Quality Tools

Domain Expertise:

•Bachelor's degree in computer science or computer engineering is preferred

•Banking Experience is preferred

•Experience in Participating in Mega Data projects is preferred