Job Title
Data Engineer-BIU
Business Unit
Finance
Reporting To
Team Lead
Job Function and Role Type
Finance, Individual Contributor
Version No
1.0
Job Purpose
Responsible for identifying trends in data sets and developing algorithms to transform raw data into actionable insights. Acts as a liaison between business teams, IT, and team members to meet business objectives through data-driven solutions.
Key Responsibilities
Actionable (4-6)
Understand business requirements and construct algorithms to define rules and create data architecture; Create data trends and identify ways to improve data reliability, efficiency, and quality; Use large data sets to address business issues and deliver updates to stakeholders based on analytics; Data Architecture; Develop and maintain scalable data architecture to support business needs; Ensure data integrity and security across all systems and processes; Data Trends; Analyze data trends to identify opportunities for process improvements; Provide insights to drive decision-making and optimize business performance.
Data Architecture, Data Trends
Requirements and construct the algorithm to
Design algorithms to transform raw data into meaningful insights; Develop solutions to streamline data access and reporting; Define The Rule And Create The Data Architecture; Establish data governance rules and frameworks; Implement best practices for data modeling and architecture; Improve Data Reliability, Efficiency And Quality; Monitor data quality and implement measures to enhance accuracy; Optimize data processes to improve efficiency and reliability; Use Large Data Sets To Address Business Issues; Leverage advanced analytics to solve complex business challenges; Present actionable insights through dashboards and visualizations.
define the rule and create the data architecture.
improve data reliability, efficiency and quality.
Use large data sets to address business issues.
Education:
Degree in Computer Science, Finance, or Banking Technology; MBA Finance preferred.
Certifications:
MSBI, SQL Server, Data Analysis.
Key Competencies
Data analysis, visualization tools, programming knowledge, communication, time management.
Major Stakeholders
Business teams across the bank.
