AI Analytics Engineer: Remote Ready Data-Driven Insights

Signet Jewelers; United States; Hybrid; USD 110,000 - 160,000; Full time

Benefits offered by this job

401(k) matching after one year of-emlo

Job summary

Signet Jewelers is seeking an AI Data Analytics Engineer to design, develop, and support analytics and AI-enabled data solutions using PostgreSQL, AWS Redshift, Microsoft Fabric, and Power BI.

The role focuses on building scalable analytics platforms that integrate enterprise data and empower self-service analytics, AI-driven insights, and advanced reporting. Ideal candidates have strong data engineering and analytics expertise in cloud architectures and semantic layers.

Qualifications

• Bachelor's degree in Computer Science or related field is required.
• 5+ years related experience in data analytics or data engineering is required.

Responsibilities

• AI & Analytics Solution Engineering: design and develop AI-enabled analytics solutions for enterprise reporting, forecasting, and insights.
• Generative AI integrations and AI-assisted analytics to enable natural language reporting and predictive analytics.
• Develop reusable analytics frameworks and scalable data products for enterprise reporting and AI use cases.
• AI-Driven Data Quality & Automation: identify data anomalies and quality issues; build monitoring and alerting frameworks.
• Automate data profiling, data lineage, and governance; optimize SQL and documentation; support intelligent automation initiatives.

Skills

Data analytics

Cloud analytics

AI-enabled reporting

Education

Bachelor's degree in Computer Science or related field

Tools

PostgreSQL

AWS Redshift

Microsoft Fabric

Power BI

Job description

Signet Jewelers is seeking an AI Data Analytics Engineer to design, develop, and support analytics and AI-enabled data solutions using PostgreSQL, AWS Redshift, Microsoft Fabric, and Power BI.

The role focuses on building scalable analytics platforms that integrate enterprise data and empower self-service analytics, AI-driven insights, and advanced reporting. Ideal candidates have strong data engineering and analytics expertise in cloud architectures and semantic layers.