IT Analytics Lead - AI-Driven Insights & Dashboards

Brookshire Grocery Company; United States; Sur place; USD 120 000 - 160 000; Plein temps

Avantages offerts par ce poste

Medical | Vision | Dental coverage

Paid time off

401(k) with company contributions

Employee discounts

Education scholarships

Outdoor recreation access

Résumé du poste

Brookshire Grocery Company is seeking a Senior IT Analytics Leader to oversee data analytics strategies within the IT organization. You will develop dashboards, analytics programs, and cross-department collaboration to drive cost efficiency and reliability. Emphasis on AI integration and data governance.

The role requires guiding data-driven decisions, building executive reports, and deploying advanced analytics to forecast IT needs while ensuring data quality and security.

Qualifications

• Bachelor's degree in related field (or equivalent).
• 6+ years of related experience preferred.

Responsabilités

• Oversee collection, processing, and analysis of IT data to identify trends and opportunities.
• Develop and maintain executive dashboards, metrics, and reports for IT services and security.
• Collaborate with IT and other departments to align data insights with business goals.
• Integrate AI to optimize analytics processes and enable proactive problem solving.
• Perform root cause analysis for recurring IT issues and outages.

Connaissances

MS Office

Data analytics

AI in analytics

Self-service reporting

Data governance

SAP reporting

Cloud data tools

Leadership

Negotiation

Communication

Presentations

Data analysis

Formation

Bachelor's degree in related field

Outils

Snowflake

Azure Data Factory

PowerBI

SAP

Description du poste

Brookshire Grocery Company is seeking a Senior IT Analytics Leader to oversee data analytics strategies within the IT organization. You will develop dashboards, analytics programs, and cross-department collaboration to drive cost efficiency and reliability. Emphasis on AI integration and data governance.

The role requires guiding data-driven decisions, building executive reports, and deploying advanced analytics to forecast IT needs while ensuring data quality and security.