2646 Business Analyst Data And Analytics jobs in Nashville,TN

Competitive compensation package

Medical and dental insurance

Company-sponsored life insurance

Retirement security savings plan

Short- and long-term disability programs

Tuition assistance

Bachelor's degree in computer science, Information Systems, Mathematics, or a related field.

8+ years of experience designing and delivering enterprise analytics solutions utilizing SAP BW/4HANA and modern cloud-based analytics platforms such as SAP Business Data Cloud (BDC), SAP Datasphere, AWS, Snowflake, or equivalent cloud analytics technologies.

5+ years of experience developing enterprise reporting and analytics solutions using Business Objects, Analysis for Office, Tableau, Power BI, SAP Analytics Cloud (SAC), SSRS, or equivalent platforms.

Experience leading requirements-gathering workshops, developing functional and technical specifications, defining business value, and translating complex business needs into scalable analytics solutions.

Working knowledge of SAP BW/4HANA, SAP data extraction frameworks, CDS Views, SAP security concepts, SAP integration technologies, testing, data migration, cutover, user training, and hyper-care support.

Experience with SAP Business Data Cloud (BDC), SAP Datasphere, Snowflake, AWS Lakehouse architecture, or equivalent modern data platform technologies.

Experience designing cloud-based data platforms and Lakehouse architecture utilizing AWS services, Snowflake, SQL, Athena, Apache Iceberg, and related analytics technologies.

Experience designing governed semantic models, reusable business data layers, Data as a Product architecture, and self-service analytics solutions.

Experience designing and implementing AI-enabled analytics solutions utilizing Natural Language Query (NLQ), Microsoft Copilot, Generative AI, semantic search, and conversational analytics capabilities.

Experience defining, governing, and managing enterprise data products with measurable business value and adoption metrics.

Experience implementing enterprise data governance, metadata management, data cataloging, business glossaries, lineage tracking, security, and compliance best practices across SAP and non-SAP analytics platforms.

Strong functional knowledge of Sales, Distribution, Supply Chain, Procurement, Manufacturing, Logistics, Finance, and other enterprise business processes, including their associated data models, KPIs, reporting requirements, and ERP system integrations.

Ability to troubleshoot system issues, complete complex reconciliations, and coordinate with process experts to resolve integrated business and data issues.

Proven ability to mentor senior, intermediate, and junior developers and analysts.

Starbucks equity program (Bean Stock)

Medical, dental, vision, basic and supplemental life insurance

Other voluntary insurance benefits

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

Two personal days per year

401(k) retirement plan with employer match

Discounted company stock program (S.I.P.)

Incentivized emergency savings

Financial well-being tools

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

Access to other educational opportunities

Backup care

DACA reimbursement

You will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above

You will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above

Onsite four days a week

4+ years in data science, applied analytics, or a closely related field

BA/BS in a quantitative field (or equivalent practical experience)

Proficiency with Python or R and SQL

MS/PhD in a quantitative discipline (or equivalent advanced experience)

Experience deploying or maintaining models in production environments (monitoring, retraining, performance measurement)

Experience with cloud analytics platforms (e.g., AWS or Azure) and/or distributed computing (e.g., Spark)

Familiarity with experiment design / causal inference and translating results into business actions

Starbucks equity program (Bean Stock)

Medical, dental, vision, basic and supplemental life insurance

Other voluntary insurance benefits

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

Two personal days per year

401(k) retirement plan with employer match

Discounted company stock program (S.I.P.)

Incentivized emergency savings

Financial well-being tools

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

Access to other educational opportunities

Backup care

DACA reimbursement

You will accrue vacation up to a maximum of 120 hours (190 in CA) for roles below director and 200 hours (316 in CA) for roles at director or above

You will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above

Onsite four days a week

4+ years in data science, applied analytics, or a closely related field

BA/BS in a quantitative field (or equivalent practical experience)

Proficiency with Python or R and SQL

MS/PhD in a quantitative discipline (or equivalent advanced experience)

Experience deploying or maintaining models in production environments (monitoring, retraining, performance measurement)

Experience with cloud analytics platforms (e.g., AWS or Azure) and/or distributed computing (e.g., Spark)

Familiarity with experiment design / causal inference and translating results into business actions

US: 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

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.

Proficiency with Excel, reporting tools, and supply chain data analysis.