AI Data Analyst

Insight GlobalSt Louis, United States
ContractOn-siteMid$104,000 - $114,400 / YearLimited info disclosed
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Description

Please apply today! Location: Must be local in any of the following cities: St Louis, MO, Charlotte, NC, or Dallas, TX (in office 3 days a week) Pay: TBD - most likely between $50 - $55/hr Duration: 12-month contract (potential to extend) Must Haves: 5+ years’ experience with SQL (analysis, writing Ad hoc SQL queries, data validation and data quality) 5+ years’ experience in an enterprise environment Working knowledge of AI to improve velocity Ability to perform critical thinking and work through challenges Excellent analytical and troubleshooting abilities Ability to perform in a fast-paced environment Self-motivated, proactive and results driven Excellent communication skills, both written and verbal Plusses: 3-5 years programing experience, Python and UNIX shell scripting Experience with JIRA Day to day: This Job is responsible for supporting and ensuring quality of our telecom client's data. Assisting with issues either by data partners, applications or other data consumers. Assisting in evaluation of feature or Tech Dept work. The role also acts as a bridge between our business and technical teams but must be strong technically themselves. Good working knowledge of AI to improve velocity. Act as liaison/bridge between business and technical team Ensure that product meets user needs as well as aligning with company goals Assist in data inquiries e.g. questions about data drops, duplicates, correctness, etc. Research data lineage as well as trace data mapping Ability to perform data quality checks and anomaly detections Attend weekly meetings for Triage of tickets and Production Migration Requests (PMR) Work in JIRA to open and update tickets when needed Work with DQ/DV teams to ensure thorough testing and leveraging on Monte Carlo and Octane to meet standards Review current processes and assist in checking completeness of these processes Identify areas of improvement for team and strive to implement best practices