2 часа назад
Analytics Engineer (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Analytics Engineer (AI) (SQL/contact center analytics): Building reliable analytical datasets, dashboards, forecasting models, and AI-driven analyses for Customer Care data with an accent on contact center performance, customer experience, and scalable data workflows. Focus on designing end-to-end ELT pipelines, analyzing operational and customer metrics, and developing models that identify trends, forecast contact volumes, and explain performance gaps.
Location: South Jordan, Utah, USA. In-office at least 4–5 days per week. The position is eligible for relocation assistance.
Company
develops smart cutting machines, design applications, and materials that help people create personalized products and home décor.
What you will do
- Design, build, and maintain analytical tables, datasets, and data models for Customer Care reporting, dashboards, and forecasting.
- Ingest and transform data from ACD, CRM, ticketing, chat, email, and other contact center systems through the full ELT-to-insight workflow.
- Develop and apply AI models to customer transcripts, surveys, and feedback to identify trends and actionable customer experience insights.
- Analyze contact center performance metrics such as service level, ASA, AHT, contact volume, abandonment, occupancy, shrinkage, and adherence.
- Build recurring and ad-hoc reports, dashboards, forecasting models, and root-cause analyses for operational teams and leadership.
- Automate reporting, improve data workflows, and contribute to data governance and analytics best practices.
Requirements
- Bachelor’s degree in Data Science, Computer Science, Statistics, Information Systems, Business Analytics, or equivalent experience.
- 3–5 years of experience in data analytics, analytics engineering, or a related role.
- Strong SQL skills, including creating and maintaining tables, views, and transformations.
- Experience with ETL/ELT tools, data pipelines, data visualization platforms such as Domo, Tableau, or Power BI, and contact center data is preferred.
- Understanding of contact center metrics, performance drivers, data integrity, and analytical problem-solving.
- Experience with data warehousing, dimensional modeling, large datasets, multiple source systems, or cloud platforms such as AWS, Snowflake, or BigQuery is preferred.
Culture & Benefits
- In-office collaboration and face-to-face work are expected 4–5 days per week.
- Medical, dental, and vision coverage.
- 401(k) match, generous paid time off, tuition reimbursement, and an annual lifestyle stipend.
- Employee discounts and a fast-paced environment focused on ownership, high standards, collaboration, and practical use of AI.
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