Data Analyst

Must have banking experienceReview source and destination data stores and map the data elements between two systems. Prepare and maintain technical documents such as Source to Target Mapping (STTM), design documents. Identify the current data gaps and create documentation with details. Write mapping documents that will help the data engineers and testers to build and test data pipelines. Identify the new source system based on client''s direction and roadmap. Work effectively and in close collab

RESPONSIBILITIES: Kforce has a client that is seeking a remote Data Analyst to join their team. Summary: The Data Analyst is responsible for interpreting and analyzing data from complex sources like ERP, HCM, and CRM to support data-driven decision making and ensure the accuracy, integrity, and usability of information within the organization's Data Lakehouse. This hands-on role focuses on requirements translation, source-to-target mapping, dimensional modeling support, ELT/ETL validation, test

Overview: This is a hands-on Data Specialist role combining data engineering, data analysis, and some data modeling/architecture. The position will initially be a one-person setup, with potential to expand into a team as the project grows. Core Responsibilities: Build and manage data pipelines Extract and integrate data from external systems Work with large datasets (1TB+, millions of rows) Optimize SQL queries and stored procedures (currently taking 30 45 mins) Implement medallion architecture

Job Title: Azure Data Engineer Duration : 12 Months Note: This is a 100% remote role. Description of Duties Role Descriptions: Build and maintain scalable data ingestion pipelines for internal and external data sources Perform data transformation| cleansing| and schema normalization (SKU| Partner| Channel mapping) Ensure data quality| validation|and reconciliation across all datasets Monitor pipelines and handle failures| exceptions| and triage activities Manage data refresh schedules and operat