Senior Professional,Data Analysis

Job Description

Job Purpose

Responsible for developing and maintaining data integrations between ICE and our client s systems. Develops processes to convert data and prepares data for conversion through data mapping, modeling, and cleaning. This role will work closely with their team lead, as well as a US based Data Support team, to create and maintain the data sets used to drive product growth and adoption within the ICE ecosystem.

Responsibilities

• Implement complex data mapping and transformation according to technical, business, and operational requirements for all data feeds
• Manage and monitor various alerting queues to ensure system performance, and escalate issues as they arise
• Perform data analysis across multiple data sources to determine root causes for suspected data quality issues
• Partner with the US based Data Support team to monitor and enhance data quality
• Become a Subject Matter Expert on ICE data definitions and data models, as well as the RESO Data Standard
• Gain basic knowledge of data processes and information systems used to ingest and transform managed data sets
• Performs other related duties as assigned

Knowledge and Experience

• Proficiency in standard office software, such as MS Office, MS Word, MS Excel, etc.
• Experience in a data quality or data compliance role
• Experience with data mapping/transformation
• Team oriented ability to build departmental and cross-functional relationships
• High degree of creative, analytical, and problem-solving skills
• Proficient written and oral communication skills

Preferred

• Experience working with Multiple Listing Service (MLS) or real estate data
• Knowledge of the Real Estate Standards Organization (RESO) Data Dictionary
• Experience with oData/webAPI and DMQL/RETS
• Knowledge of JSON
• Experience working with large data sets
• Understand the integrity of data, including data extraction (ETL), manipulation, analysis, and reporting
• Experience with Elasticsearch/AWS Opensearch

Schedule

This role offers work from home flexibility of one day per week.