AI-Driven Operations Analytics Lead

Starbucks Corp.

Nashville (TN)

Hybrid

USD 90,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Health insurance
401(k) with match
Tuition reimbursement
Paid time off
Stock program

Job summary

Starbucks Corp. is seeking an Operations Data-Systems Analyst to transform complex operational data into actionable insights, supporting service performance, efficiency, partner experience, and customer outcomes.

The role partners across Service Desk, MIR, Change, Problem, Asset Management, and more, leveraging AI and BI platforms to drive data-driven decisions. The ideal candidate will develop executive dashboards, predictive models, and AI-powered reporting while collaborating with technology

Qualifications

  • Bachelor's degree in a related field or equivalent professional experience.
  • 5+ years in data analytics, BI, or operational analytics.
  • 5+ years in enterprise-grade data, service management, and operational databases.
  • 3+ years supporting technology operations or IT service management.

Responsibilities

  • Analyze large datasets to identify trends, risks, and improvement opportunities.
  • Develop KPIs, SLAs, XLAs, and executive dashboards.
  • Build predictive models and AI-powered reporting solutions.
  • Collaborate with operational teams to specify analytical requirements.

Skills

Operational analytics
Power BI
Tableau
SQL

Education

Bachelor's degree in Information Systems, Computer Science, Analytics, Business, Statistics, Mathematics

Tools

Power BI
Tableau
Databricks
ServiceNow
AWS
DataDog
APIs

Job description

Starbucks Corp. is seeking an Operations Data-Systems Analyst to transform complex operational data into actionable insights, supporting service performance, efficiency, partner experience, and customer outcomes.

The role partners across Service Desk, MIR, Change, Problem, Asset Management, and more, leveraging AI and BI platforms to drive data-driven decisions. The ideal candidate will develop executive dashboards, predictive models, and AI-powered reporting while collaborating with technology

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