2530 Oracle Pl Sql jobs in Nashville,TN

Hiring Range in USD from: $126,200 to $264,100 per annum.

May be eligible for bonus, equity, and compensation deferral.

Medical, dental, and vision insurance, including expert medical opinion

Short term disability and long term disability

Life insurance and AD&D;

Supplemental life insurance (Employee/Spouse/Child)

Health care and dependent care Flexible Spending Accounts

Pre-tax commuter and parking benefits

401(k) Savings and Investment Plan with company match

Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.

11 paid holidays

Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.

Paid parental leave

Adoption assistance

Employee Stock Purchase Plan

Financial planning and group legal

Voluntary benefits including auto, homeowner and pet insurance

Volunteer programs

Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements, such as immunization/occupational health mandates, and/or drug testing requirements.

6-10+ years of experience in supply planning, materials planning, manufacturing coordination, or related hardware supply chain roles.

Experience supporting complex, high-tech, or cloud infrastructure supply chains.

Experience working with contract manufacturers, engineering teams, and materials execution functions.

Demonstrated experience balancing demand, supply, and manufacturing capacity in a fast-moving environment.

Experience supporting product transitions, clean-to-build analysis, or supply recovery efforts preferred.

Strong understanding of end-to-end supply chain planning, including demand planning, materials, manufacturing capacity, and inventory management.

Ability to evaluate clean-to-build, material readiness, and supply feasibility.

Experience with Oracle Fusion Cloud Supply Chain Planning or similar enterprise planning systems preferred.

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.