2292 Data Platform Analytics Engineer jobs in Nashville,TN

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.

Hiring Range in USD from: $90,100 to $209,500 per annum.

May be eligible for bonus and equity.

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

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.

As part of Oracle's onboarding process and consistent with applicable law, US-based employees are required to complete identity verification, which involves the collection and processing of their biometric information.

Experience with data center build and deployment planning or cloud infrastructure capacity planning.

Experience with networking hardware such as Ethernet switches, NICs, DPUs/SmartNICs, optical transceivers, cables, or related components.

Familiarity with data center networking architectures and high-performance/AI networking.

Experience developing models that connect data center builds and network architecture to BOM and SKU-level demand.

Experience with networking or semiconductor supply chains, including lead times, constraints, allocation, substitutions, and technology transitions.

Experience with time-series forecasting, probabilistic forecasting, machine learning, optimization, simulation, or other advanced analytical methods.

Experience building data pipelines, analytical datasets, dashboards, or planning tools.

Experience using GenAI or automation to improve planning and forecasting processes.

Experience presenting planning analysis and recommendations to senior engineering or business leadership.

Sign-on payments and restricted stock units (RSUs)

USA, MA, Boston - 76,600.00 - 114,900.00 USD annually

USA, TN, Nashville - 68,900.00 - 103,400.00 USD annually

USA, TX, Austin - 76,600.00 - 114,900.00 USD annually

USA, VA, Arlington - 76,600.00 - 114,900.00 USD annually

Medical, Dental, and Vision Coverage

Maternity and Parental Leave Options

Paid Time Off (PTO)

401(k) Plan

Health insurance (medical, dental, vision, prescription, Basic Life & AD&D; insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)

401(k) matching

Paid time off

Parental leave

Work a flexible schedule including weekends, nights, and holidays

3+ years of industrial engineer, operations engineer, manufacturing engineer, or project engineer in a manufacturing environment experience

3+ years of maintenance or engineering experience

Work a flexible schedule including weekends, nights, and holidays

Experience in material handling equipment (MHE) or automation environments, or experience in reliability/maintenance environments

Bachelor's degree in a technical field, or 2+ years of Amazon RME (Reliability Maintenance Engineering) BB/3P Full Time Exempt experience

Advance knowledge and experience with white papers, Operational Planning (OP) documents, strategy documents (SPS), ECON Analysis, and acquisition of network CARs with minimal leadership guidance.

Knowledge of Reliability Centered Maintenance (RCM) programs for commercial refrigeration systems

Knowledge of performance metrics such as OEE (Overall Equipment Effectiveness), downtime, throughput, or quality

Experience working with and managing third party vendors

Experience with Six Sigma tools and Lean techniques

Experience in Amazon RME (Reliability Maintenance Engineering) or fulfillment operations, or experience in similar environments

Experience building launch readiness frameworks, standard work, playbooks, and scalable deployment mechanisms across multiple concurrent sites