17 часов назад
AI Data Analyst
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Data Analyst (AI/Quality Analytics): Developing AI-enabled solutions, advanced analytics, automated workflows, and digital tools that improve quality performance and operational efficiency with an accent on predictive quality monitoring, business intelligence, and process optimization. Focus on designing AI-assisted reporting, building Power Automate and Power Apps workflows, and leading digital transformation from implementation through adoption.
Location: McKinney - Encore, United States
Company
manufactures energy and telecommunications cable systems, including power transmission cables, optical fibers, copper cables, and connectivity solutions.
What you will do
- Develop and implement AI-enabled solutions that improve quality performance, operational efficiency, and decision-making.
- Identify and prioritize AI use cases for quality inspections, root cause analysis, predictive quality monitoring, risk identification, and process optimization.
- Design and maintain quality analytics dashboards, KPI scorecards, business intelligence reports, and AI-assisted analysis tools.
- Develop automated workflows with Power Automate, Power Apps, and other digital platforms to reduce manual work and improve data accessibility.
- Lead digital transformation projects from concept through implementation, adoption, and sustainment.
- Build quality knowledge repositories, AI-powered knowledge bases, and intelligent search capabilities while integrating quality data sources with IT and business stakeholders.
Requirements
- Experience identifying, developing, and implementing AI-enabled solutions.
- Ability to analyze complex datasets and translate insights into actionable business improvements.
- Experience with automation, digital solutions, process optimization, and business intelligence reporting.
- Knowledge of continuous improvement methodologies and quality problem-solving practices.
- Ability to lead cross-functional projects and drive technology adoption and change management.
- Strong communication, training, and stakeholder collaboration skills.
Culture & Benefits
- Cross-functional collaboration with Quality, Operations, Engineering, IT, and business leadership.
- Opportunity to advance AI adoption and digital innovation across the Quality organization.
- Work focused on quality improvement, risk reduction, knowledge management, and operational efficiency.
- is committed to diversity, equity, inclusion, and reasonable accommodation for qualified applicants.
Hiring process
- Legitimate offers include a formal interview process.
- Recruitment communications come from official email domains.
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