Data & AI Enablement Specialist

Socket.dev; Edmonton; On-site; CAD 75,000 - 85,000; Full time

Benefits offered by this job

Competitive salary 75k-85k CAD

Bonus 10% STI

Comprehensive benefits package

RRSP matching

Office near Calgary Trail

Employee discounts

Job summary

Fountain Tire in Edmonton is seeking a Data and AI Enablement Analyst to accelerate value from analytics by improving data discoverability, usability, and reliability. You will work with stakeholders across Supply Chain, Finance, Marketing and Corporate Sales to identify opportunities and guide users to data assets and AI tools.

You will help curate data governance for AI apps, maintain documentation, and ensure data quality while supporting the adoption of AI-powered solutions across the

Qualifications

• Undergraduate degree or diploma in data analytics, information systems, or related field.
• Experience in reporting, BI, business analysis, or data management is preferred.
• Familiarity with Databricks or Microsoft data tools is an asset.

Responsibilities

• Collaborate with stakeholders across Supply Chain, Finance, Marketing and Sales to identify data and AI opportunities.
• Evaluate opportunities by impact on operations and strategy.
• Support associates with data assets, reports, and self-serve analytics.
• Monitor data pipelines and quality for core master data domains.
• Help govern data used in Generative AI applications and AI risk controls.

Skills

Data analysis

BI reporting

Stakeholder collaboration

Problem solving

Education

Bachelor's degree in Data/Business Analytics

Tools

Databricks

Microsoft Fabric

ServiceNow

Job description

Fountain Tire in Edmonton is seeking a Data and AI Enablement Analyst to accelerate value from analytics by improving data discoverability, usability, and reliability. You will work with stakeholders across Supply Chain, Finance, Marketing and Corporate Sales to identify opportunities and guide users to data assets and AI tools.

You will help curate data governance for AI apps, maintain documentation, and ensure data quality while supporting the adoption of AI-powered solutions across the