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Starbucks Data Analytics Jobs (NOW HIRING)

Starbucks

data engineer sr- ST; Nashville, TN

Nashville, TN · On-site

$53.75 - $71.25/hr

You'll design, develop, test, and support data pipelines that enable continuous data processing for data exploration, preparation, and real-time business analytics-while modeling Starbucks guiding ...

Starbucks

data engineer sr- ST; Nashville, TN

Nashville, TN · On-site

$53.75 - $71.25/hr

You'll design, develop, test, and support data pipelines that enable continuous data processing for data exploration, preparation, and real-time business analytics-while modeling Starbucks guiding ...

Starbucks

data engineer sr- ST; Nashville, TN

Nashville, TN · On-site

$53.75 - $71.25/hr

Starbucks is a company dedicated to creating a unique connection through coffee and extraordinary leadership. As a Senior Data Engineer, you will build enterprise data services that support analytics ...

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Starbucks Data Analytics information

What are some common projects a Starbucks Data Analytics team member might work on?

As a member of Starbucks Data Analytics, you might work on projects such as analyzing customer purchase patterns, optimizing store operations, developing dashboards for tracking key performance indicators, or supporting new product launches with data-driven insights. Day-to-day responsibilities often involve collaborating closely with marketing, operations, and finance teams to translate data into actionable business recommendations. You may also participate in testing and refining data models or forecasting tools to help improve sales and customer experience. The dynamic nature of the role ensures exposure to a variety of business questions, fostering both skill development and career growth opportunities.

What is a Starbucks Data Analytics job?

A Starbucks Data Analytics job involves collecting, analyzing, and interpreting data to support business decisions across various departments such as marketing, supply chain, and operations. Analysts use data tools to track sales trends, customer behavior, and store performance, helping optimize strategies for profitability and efficiency. They often work with large datasets, dashboards, and visualization tools to provide actionable insights. Strong analytical skills, proficiency in SQL, Python, or Excel, and an understanding of business metrics are essential for success in this role.

What are the key skills and qualifications needed to thrive in the Starbucks Data Analytics position, and why are they important?

To thrive as a Starbucks Data Analytics professional, you should have strong analytical skills, proficiency in statistics, and a background in business, computer science, or a related field. Experience with data analysis tools such as SQL, Python, Tableau, or Power BI, and knowledge of data warehousing systems or related certifications, is highly valuable. Excellent communication, attention to detail, and the ability to translate complex data insights for non-technical stakeholders are important soft skills. These abilities are crucial for informing business decisions, identifying trends, and driving improvements across Starbucks’ operations.

What do you need to be a data analyst at Starbucks?

To be a data analyst at Starbucks, candidates typically need a bachelor's degree in fields like data science, statistics, or related areas. Strong skills in data analysis tools such as Excel, SQL, and Python or R are important, along with the ability to interpret large datasets and communicate insights effectively. Relevant experience in retail or customer-focused environments can also be beneficial.

How difficult is it to get hired at Starbucks?

Getting hired as a Data Analyst at Starbucks typically requires relevant education, such as a degree in data science or related fields, and experience with data analysis tools like SQL, Excel, or Tableau. The hiring process involves submitting an application, passing interviews, and demonstrating analytical skills, with competition varying based on the role and location.

What is the highest paying job in data analytics?

In data analytics, senior roles such as Data Science Director or Chief Data Officer typically have the highest salaries, often exceeding six figures annually. These positions require advanced skills in machine learning, statistical analysis, and leadership, and they oversee large teams or strategic data initiatives.

How does Starbucks use data analytics?

Starbucks data analysts analyze customer purchase data, store performance, and supply chain information to optimize operations and personalize marketing strategies. They use tools like SQL, Tableau, and machine learning models to identify trends and improve customer experience and business efficiency.
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Starbucks Data Analytics jobs near you
Infographic showing various Starbucks Data Analytics job openings in the United States as of June 2026, with employment types broken down into 70% Full Time, and 30% Part Time. Highlights an 100% Physical job distribution.
data scientist, Data & Analytics (Nashville, TN)

data scientist, Data & Analytics (Nashville, TN)

Starbucks

Nashville, TN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Starbucks rating

6.7

Company rating: 6.7 out of 10

Based on 3,576 frontline employees who took The Breakroom Quiz

3rd of 16 rated cafes

Job description

Now Brewing - Data Scientist! #tobeapartner
From the beginning, Starbucks set out to be a different kind of company. One that not only celebrated coffee and rich tradition, but 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 Scientist, you'll support business decisions by partnering on a cross-functional team to understand complex data relationships and build core data science models. You'll use data to create insights, develop repeatable pipelines, and deliver decision-ready outputs that can be adopted into real workflows.
As a Data Scientist, you will...
  • Extract, shape, and validate data using SQL (and other frameworks as needed) to create analytically-ready datasets and dimensional/relational processes that support measurement and decision-making.
  • Build and improve models and pipelines by developing basic data science models (or enhancing existing ones) and creating data pipelines for model training and outputs within shared codebases.
  • Communicate insights clearly by explaining methodology choices, building dashboards/visualizations to validate outputs and monitor model performance, and translating results into implications and recommendations.

We'd love to hear from people with:
  • 1+ year of experience in data science, applied analytics, or related work
  • BA/BS or equivalent experience
  • Proficiency with SQL and Python and/or R (data prep, pipelines, modeling)
  • Working knowledge of common modeling techniques (e.g., regression, classification, decision trees, clustering, causal inference)
  • Experience with data visualization tools (e.g., Tableau, Power BI, or similar)
  • Strong communication skills and attention to detail

Preferred qualifications
  • Degree concentration in a quantitative field (e.g., Statistics, Math, Computer Science, Engineering, Economics, Psychology, Quantitative Social Science, or similar)
  • Advanced degree (MS or PhD) preferred.
  • Experience working in shared analytics/engineering environments (version control, documentation, reproducible workflows)
  • Experience supporting model measurement/monitoring through dashboards and performance reporting

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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