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Sql Developer

Dickson,TN

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Senior/Lead Decision Scientist, Data & Analytics (Nashville, TN)

Starbucks

Dickson, TN 37056

OnsiteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

The actual base pay offered to the successful candidate will be based on multiple factors, including but not limited to job-related knowledge/skills, experience, geographical location, and internal equity.
At Starbucks, it is not typical for an individual to be hired at the high end of the range for their role, and compensation decisions are dependent upon the facts and circumstances of each position and candidate.
As a Starbucks partner, you (and your family) will have access to medical, dental, vision, basic and supplemental life insurance, and other voluntary insurance benefits.
Partners have access to short-term and long-term disability, paid parental leave, family expansion reimbursement, paid vacation from date of hire*, sick time (accrued at 1 hour for every 25 hours worked), eight paid holidays, and two personal days per year.
Starbucks also offers eligible partners participation in a 401(k) retirement plan with employer match, a discounted company stock program (S.I.P.), Starbucks equity program (Bean Stock), incentivized emergency savings, and financial well-being tools.
Additionally, Starbucks offers 100% upfront tuition coverage for a first-time bachelor's degree through Arizona State University's online program via the Starbucks College Achievement Plan, student loan management resources, and access to other educational opportunities.
You will also have access to backup care and DACA reimbursement.
5+ years in analytics, decision science, roles.
BA/BS in business or quantitative discipline (Stats, Math, Comp Sci, Engineering)
Technical proficiency in Python, SQL, and modern BI tools
Familiarity with AI/ML concepts.
Strong hands-on experience with modern analytics and BI tools, including Alteryx, Power BI, Tableau, and MicroStrategy
Masters preferred.
Experience bridging technical and business teams
Experience integrating AI-driven insights into dashboards, semantic models, or data marts.
Expertise advanced AI techniques and build AI-orchestrated pipelines for complex data analysis.
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