Enterprise Data Analyst II

infini-tek; Raleigh, Northern (NC, KY); Hybrid; USD 90,000 - 130,000; Full time

Job summary

infini-tek seeks a data governance professional to lead enterprise data quality, governance, and architecture across the bank. You will drive policy enforcement and enable analytics through robust data management practices.

You will collaborate with IT and business teams to implement BI-ready data, write complex SQL, and document data lineage and ETL processes. This role emphasizes strategic oversight and hands-on data stewardship in a regulatory banking environment.

Qualifications

• Bachelor's Degree and 4 years of experience in Data Management, Financial Analysis, or similar OR High School Diploma or GED and 8 years of experience in Data Management, Financial Analysis, or similar.
• Experience in Banking, Regulatory, Data Warehouse/Data Lakes, AWS/ Snowflake.
• Understanding of data warehousing and transformation methods, lineage documentation, and ETL processes.
• Knowledge of data spreadsheets and databases.
• Hands-on SQL experience for writing complex queries.

Responsibilities

• Data Enhancement - Identifies and implements enhancements for the quality, management, and storage of enterprise data. Builds dashboards to modernize analytics where appropriate.
• Business Support - Enforces data policies across the enterprise and validates data before business use.
• Business Tactics - Supports initiatives to develop data management capabilities and stays updated on industry trends.
• Documentation - Creates and maintains technical documentation for the Enterprise Data Warehouse including data dictionaries and mappings.

Skills

SQL

Data governance

Data management

Financial services knowledge

Education

Bachelor's degree or higher

High School Diploma or GED with 8 years experience

Tools

AWS

Snowflake

Data Warehousing

Job description

Raleigh, United States | Posted on 08/21/2026

This role is part of the Enterprise Data organization and is primarily focused on the overarching governance and architecture of all data across the enterprise.

This position supports initiatives within the Bank that improve enterprise data quality, governance, and analytics. Drives positive change across the Bank through technical innovation and continuous improvement initiatives. Creates and maintains technical documentation related to enterprise data. Provides expert consultation to team members, the Information Technology department, and other stakeholders on tactics that achieve data management goals.

Role & Responsibilities :

• Data Enhancement - Identifies and implements enhancements for the quality, management, and storage of enterprise data. Executes initiatives that improve profiling, exception reporting, and issue resolution as well as general fixes for the Enterprise Data Warehouse. Builds dashboards to modernize analytics where appropriate.
  
• Business Support - Enforces data policies and procedures across the enterprise. Encourages discussion and feedback from associates in order to identify areas of improvement within data management capabilities. Completes month-end validations on reporting data to ensure the quality and completeness of data prior to business use.
  
• Business Tactics - Facilitates initiatives that develop the Bank’s data management capabilities. Assists management in creating and implementing business plans to achieve planned objectives. Maintains a strong knowledge of current and emerging technologies or trends impacting the financial service industry.
  
• Documentation - Creates and maintains technical documentation for the Enterprise Data Warehouse, which includes source-to-target mappings, data dictionaries, and other related materials.
  

Requirements

• Bachelor's Degree and 4 years of experience in Data Management, Financial Analysis, or similar OR High School Diploma or GED and 8 years of experience in Data Management, Financial Analysis, or similar
  
• Experience in Banking, Regulatory, Data Warehouse/Data Lakes, AWS/ Snowflake
  
• Understanding of data warehousing and transformation methods, lineage documentation, and ETL processes.
  
• Knowledge of data spreadsheets and databases
  
• Hands-on SQL experience for writing complex queries