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Temporary Starbucks Data Analytics Jobs (NOW HIRING)

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Temporary Starbucks Data Analytics information

How does Starbucks use data analytics?

A Temporary Starbucks Data Analytics role involves analyzing sales, customer preferences, and operational data to improve store performance and customer experience. The role typically requires skills in data visualization tools and statistical analysis to support decision-making and optimize marketing strategies.

What is the difference between Temporary Starbucks Data Analytics vs Starbucks Data Analyst?

AspectTemporary Starbucks Data AnalyticsStarbucks Data Analyst
CredentialsOften requires basic data analysis skills, sometimes with a temporary or contract certificationTypically requires a bachelor's degree in data science, analytics, or related field
Work EnvironmentTemporary, project-based, often in a fast-paced retail settingFull-time, ongoing role within Starbucks corporate or store environment
Employer & Industry UsageUsed for short-term projects or seasonal needs within StarbucksRegular position focused on ongoing data analysis and reporting for Starbucks

Temporary Starbucks Data Analytics roles are short-term, project-specific positions often requiring basic skills, while Starbucks Data Analysts are permanent employees with advanced qualifications focused on continuous data insights. The main difference lies in duration, scope, and level of responsibility.

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Temporary Starbucks Data Analytics jobs near you
Infographic showing various Temporary Starbucks Data Analytics job openings in the United States as of August 2026, with employment types broken down into 100% Temporary. Highlights an 100% In-person job distribution.

senior manager, Data Science (Nashville, TN)

Starbucks

Nashville, TN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago

Starbucks rating

6.7

Company rating: 6.7 out of 10

Based on 3,616 frontline employees who took The Breakroom Quiz

3rd of 16 rated cafes

Job description

Now Brewing - Data Science Managers! #tobeapartner
From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and the rich tradition, but that also brought a feeling of connection. We are known for developing extraordinary leaders who share this passion and are guided by their service to others.
As a Data Science Manager, you'll lead a team of data scientists, decision scientists, and analysts to build models and apply advanced analytics to solve complex business problems. You'll coach partners in technical and career development, set standards and best practices, and ensure insights and machine learning solutions are scalable, measurable, and adopted into business workflows.
As a Data Science Manager, you will...
  • Lead and develop a high-performing team by coaching, creating development plans, and building a culture of strong execution, collaboration, and continuous learning.
  • Drive end-to-end data science delivery from problem framing and data preparation through modeling, performance assessment, and operationalization of insights/models.
  • Set and scale best practices across coding standards, version control, documentation, data security, and analytics/engineering practices-removing roadblocks and aligning cross-functional partners.

We'd love to hear from people with:
  • BA/BS (or equivalent experience)
  • 5-7+ years of experience in data science, analytics, or a closely related field
  • Proficiency with Python or R, SQL, and relational databases
  • Working knowledge of machine learning/statistical techniques (e.g., regression, decision trees, classification, causal inference, clustering)
  • Experience with cloud data/analytics solutions (e.g., Azure or AWS)
  • Experience managing and coaching a team, with strong written/verbal communication skills and attention to detail

Preferred qualifications
  • MS in a quantitative field (e.g., Statistics, Math, Computer Science, Engineering, Economics, Psychology, Quantitative Social Science) or equivalent advanced experience
  • 8+ years managing a small team (approximately 2-4 people) and developing technical talent
  • Experience with production ML practices (shared codebases, package creation, repositories, SDLC best practices), plus distributed processing/modern platforms (e.g., Databricks or similar)
  • Experience with hyperparameter tuning and ongoing model performance monitoring (measurement, drift, stability)

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. Starbucks will comply with any applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, and in accordance with its plans and policies. This list is subject to change depending on collective bargaining in locations where partners have a certified bargaining representative. For additional information regarding partner perks and more detailed information about benefits, go to starbucksbenefits.com.
*If you are working in CA, CO, IL, LA, ME, MA, NE, ND or RI, 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. For roles in other states, you will be granted vacation time starting at 120 hours annually for roles below director and 200 hours annually for roles director and above.
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.
We believe we do our best work when we're together, which is why we're onsite four days a week.
Join us and inspire with every cup. Apply today!
Starbucks Coffee Company is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, or protected veteran status, or any other characteristic protected by law.
Qualified applicants with criminal histories will be considered for employment in a manner consistent with all federal, state and local ordinances. Starbucks Coffee Company is committed to offering reasonable accommodations to job applicants with disabilities. If you need assistance or an accommodation due to a disability, please contact us at applicantaccommodation@starbucks.com or 1(888) 611-2258.

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