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Data Analytics Masters Jobs in Tennessee (NOW HIRING)

Master's degree (MS/MBA) in Analytics, Statistics, Mathematics, Operations Research, or related field. * 5+ years of data science experience. * Experience with big data tools and platforms (e.g ...

Utilize data analytics and business intelligence tools to automate reporting and improve decision ... MBA preferred. Required Knowledge/Skill: Strong financial modeling, forecasting, budgeting, and ...

$86K - $130K/yr

Works with and advises key stakeholders to provide analysis and insights to enable data-driven ... Masters preferred * 4 years of relevant experience required. * or equivalent combination of ...

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Data Analytics Masters information

What is the difference between Data Analytics Masters vs Data Analyst?

AspectData Analytics MastersData Analyst
CredentialsTypically requires a master's degree in data science, analytics, or related fieldUsually requires a bachelor's degree in a related field; certifications can enhance prospects
Work EnvironmentAcademic, research, or advanced industry roles; often involves project-based workBusiness environments, working with data to generate reports and insights
Industry UsageUsed in academia, research institutions, and advanced analytics roles in industryCommon across industries like finance, healthcare, marketing, and technology

In summary, a Data Analytics Masters is an advanced qualification often required for specialized or research roles, while a Data Analyst is a more entry-level or mid-level position focused on analyzing data to support business decisions. Both roles share overlapping skills but differ in educational requirements and scope of work.

What are the key skills and qualifications needed to thrive as a Data Analytics professional with a master's degree, and why are they important?

To thrive as a Data Analytics professional with a master's degree, you need strong analytical skills, expertise in statistics, and advanced knowledge of data modeling, typically supported by a relevant STEM degree. Proficiency with tools such as SQL, Python, R, Tableau, and familiarity with machine learning platforms is commonly required, along with certifications like Google Data Analytics or Microsoft Certified: Data Analyst Associate. Excellent problem-solving abilities, critical thinking, and effective communication skills help translate complex data findings into actionable business insights. These skills and qualifications are essential for transforming raw data into strategic decisions that drive organizational success.

What is a Data Analytics Masters degree?

A Data Analytics Masters degree is a graduate-level program that focuses on teaching students advanced skills in analyzing, interpreting, and visualizing data to help organizations make data-driven decisions. The program typically covers topics such as statistics, machine learning, data mining, data visualization, and programming languages like Python or R. Graduates are prepared for careers in data science, business analytics, and related fields, where they can apply analytical techniques to solve real-world problems. This degree is ideal for individuals who want to deepen their understanding of data and pursue specialized roles in analytics.

Is 40 too late for data science?

Data Analytics Masters professionals can enter data science at any age, as skills like programming, statistics, and data visualization are learnable later in life. Many successful data scientists start or transition into the field in their 30s or 40s, and continuous learning through online courses and certifications can facilitate this career shift.

What kind of jobs can I get with a master's in data analytics?

A master's in data analytics prepares you for roles such as data analyst, data scientist, business intelligence analyst, and data engineer. These positions involve analyzing large datasets, creating reports, and using tools like SQL, Python, or R to support decision-making in various industries.

What types of real-world projects or collaboration opportunities can Data Analytics Masters expect during their studies?

Data Analytics Masters programs often include hands-on projects where students work with real datasets from industry partners or simulate actual business scenarios. These projects typically involve teamwork, allowing students to collaborate with peers and sometimes with professionals from related fields such as business, engineering, or IT. This collaborative environment helps students develop both technical and communication skills, and provides valuable exposure to industry-standard tools and workflows. Additionally, these experiences can lead to networking opportunities and open doors for internships or job placements upon graduation.

Is a master's in data analytics worth it?

A master's in data analytics can enhance job prospects for data analysts and related roles by providing advanced skills in statistical analysis, programming, and data visualization. It often leads to higher salaries and more senior positions, especially when combined with proficiency in tools like Python, R, and SQL.

What is the average salary for a master data analyst?

The average salary for a master data analyst typically ranges from $70,000 to $100,000 annually, depending on experience, location, and industry. Advanced skills in SQL, data visualization tools, and statistical analysis can influence earning potential.

What is a Data Analytics Masters job?

A Data Analytics Masters job typically involves analyzing large datasets to extract insights that help businesses make data-driven decisions. Professionals in this role use statistics, machine learning, and data visualization tools to interpret trends and patterns. They commonly work in industries like finance, healthcare, marketing, and technology. Strong analytical skills, programming knowledge (e.g., Python, SQL, R), and expertise in data visualization tools (e.g., Tableau, Power BI) are essential.

What are the most commonly searched types of Data Analytics Masters jobs in Tennessee? The most popular types of Data Analytics Masters jobs in Tennessee are:
Infographic showing various Data Analytics Masters job openings in Tennessee as of July 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 83% Physical, 5% Hybrid, and 12% Remote job distribution.
Senior/Lead Decision Scientist, Data & Analytics (Nashville, TN)

Senior/Lead Decision Scientist, Data & Analytics (Nashville, TN)

Starbucks

Nashville, TN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted yesterday


Starbucks rating

6.7

Company rating: 6.7 out of 10

Based on 3,606 frontline employees who took The Breakroom Quiz

3rd of 16 rated cafes


Job description

Now Brewing - Sr/lead Decision scientist, the data democratization team!
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 Starbucks Sr/lead Decision scientist on the data democratization team, you will . . .
Be part of the team that powers data-driven decision-making across our data democratization team at coffeehouse operations, Partners and Supply Chain domain. You will help shape how insights are translated into action-enabling teams to optimize store performance, improve partner and customer experience, and scale solutions across the enterprise.
Who you are...
  • A natural facilitator who loves working with people and building connections
  • Comfortable managing complexity and change
  • Passionate about data integrity and compliance
  • Growth-minded, solution-oriented, and eager to learn continuously

Key Responsibilties:
  • Partner with cross-functional stakeholders to define problem statements, success metrics, and decision frameworks
  • Translate ambiguous business problems into structured analytical frameworks and actionable insights
  • Guide stakeholders through trade-offs, risks, and implications of data-driven recommendations
  • Communicate insights clearly to both technical and non-technical audiences, influencing decisions at multiple levels

What you'll do:
  • Analyze data to deliver actionable insights with strong hands-on experience with modern analytics and BI tools, including Alteryx, Power BI, Tableau, and MicroStrategy
  • Ability to design, build, and scale interactive dashboards and reporting solutions that drive decision-making
  • data preparation, transformation, and workflow automation (e.g., Python, R, SQL) to enable efficient analytics
  • Establish reporting cadence, monitor KPIs, and share updates with stakeholders.
  • Stay ahead of emerging AI/BI trends to accelerate data modernization efforts (Generative AI, Augmented Analytics).
  • Collaborate with architects and engineers to enable AI-driven insights and modern BI capabilities (Cloud Platforms: Azure, APIs).

We'd love to hear from people with:
  • Strong communication and facilitation skills with cross-functional teams, including those with and without technical backgrounds
  • Loves working with people and building connections
  • Comfortable managing complexity and change
  • Excellent documentation and organizational skills
  • Experience bridging technical and business teams
  • Demonstrated willingness to learn continuously, adopt new technologies and approaches, and share knowledge
  • Growth-minded, solution-oriented, and curious!
  • Enjoy working with people and data!

What We're Looking For:
  • 5+ years in analytics, decision science, roles.
  • Education: BA/BS in business or quantitative discipline (Stats, Math, Comp Sci, Engineering); Masters preferred.
  • Strong communication and storytelling skills with an executive presence.
  • Proven ability to drive projects from concept to impact in ambiguous environments.
  • Technical proficiency in Python, SQL, and modern BI tools; familiarity with AI/ML concepts.

Preferred:
  • 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.

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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