Overview
Skills
Job Details
Job Title: Enterprise Data Migration Lead Duration: 7 Months Location: Milwaukie, OR
Description
Research and properly evaluate sources of information to determine possible limitations in reliability or usability, Apply sampling techniques to effectively determine and define ideal categories to be questioned, Compare and analyze provided statistical information to identify patterns, relationships and problems. Define and utilize statistical methods to solve industry-specific problems in varying fields, such as economics and engineering.
Prepare detailed reports for management and other departments by analyzing and interpreting data. Train assistants and other members of the team how to properly organize findings and read data collected, Design computer code using various languages to improve and update software and applications Bachelor's degree in mathematics, statistics, computer science or related field, Strong math and analytical skills are essential to complete job requirements successfully, Able to compile and organize statistical information retrieved and present findings to management, Strong computer skills and ability to use necessary databases and software
Key Skills:
Data Migration & ETL Expertise mapping, cleansing, transforming, and loading data from legacy systems to modern platforms.
Data Governance & Quality Management ensuring data completeness, accuracy, timeliness, consistency, and conformance to standards.
SQL & Reporting Development writing, optimizing, and validating queries/reports; experience with reporting tools.
Data Modeling & Schema Mapping designing data dictionaries, field-level mapping, source-of-truth identification, and schema alignment.
Risk & Compliance Awareness applying security best practices, disaster recovery, and business continuity planning.
Project Management & Documentation maintaining unified data inventory, producing weekly migration reports, and developing procedural documentation.
Stakeholder Facilitation working with agency staff, vendors, contractors, and external partners to prioritize, validate, and deliver data solutions.
Testing & Validation building and executing data testing plans, involving stakeholders, and validating migrated datasets.
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