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Data Analyst

2 months ago


Everett, United States Motion Recruitment Full time

Our Client, a State Government Agency is looking for someone to join their team as a Data Analyst to join their team out of Everett, MA


***This is a 9 month initial contract***


Responsibilities

  • Collaborate with business research analysts to identify data needs.
  • Create and document data marts and queries for business data needs, ensuring that resulting data match existing reports with fidelity.
  • Write and review documentation to contribute to a business rules data handbook, capturing data rules in user-friendly language.
  • Reverse engineer schemas and queries using available tools and methodologies, with the goal of understanding and documenting business rules that are applied in existing data loading processes.
  • Translate complex problems into detailed specifications and design solutions using data processing systems.
  • Create and maintain entity-relationship diagrams (ERDs) and perform database modeling, including logical, physical, and presentation tiers.
  • Provide technical and database support for in-house applications, ensuring optimal performance and user satisfaction.
  • Contribute to the knowledge base, sharing best practices and lessons learned with the Edwin team.
  • Maintain code in GitHub, ensuring proper version control and adherence to coding standards.
  • Accurately and promptly log all work, including estimates and time spent, in JIRA.
  • Facilitate the adoption of efficient coding practices and innovative solutions.



Qualifications

  • Understand data warehouse concepts and needs.
  • Expert knowledge of databases, Snowflake a plus, also Oracle and SQL Server.
  • Excellent communication skills with a demonstrated ability to communicate ideas clearly in both technical and user-friendly language, both in writing and orally.
  • Strong attention to detail and troubleshooting skills for QA; able to identify errors/discrepancies, isolate the cause, apply solutions and validate the resulting data.
  • Experience with dimensional modeling and knowledge of proper data structures for analytical reporting from an enterprise data warehouse.