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Manager Data Analytics Engineer Jobs in Tennessee

Data & AI Platform Engineer

Nashville, TN

$110K - $132K/yr

This is an early-career engineering role focused on building, operating, and improving cloud data ... Data/Analytics Tooling Support * Assist teams with onboarding and "how-to" enablement across a core ...

New

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

Work closely with data analysts, engineers, and business teams to understand data requirements and ... About AB We are a leading global investment management firm offering high-quality research and ...

Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

Work closely with data analysts, engineers, and business teams to understand data requirements and ... About AB We are a leading global investment management firm offering high-quality research and ...

... Analytics / Solutions Architect - Azure Data Engineer / Azure Solutions Architect - Google Professional Data Engineer - DAMA CDMP (Certified Data Management Professional) - Informatica Certified ...

Data Analyst

Nashville, TN · On-site

$40 - $57/hr

You'll work directly with stakeholders, engineers, operators, and senior leaders to uncover trends ... Maintain accurate documentation, including incident logs, SOPs, and analytics playbooks for ...

Showing results 41-60

Manager Data Analytics Engineer information

What is the difference between Manager Data Analytics Engineer vs Data Analytics Engineer?

AspectManager Data Analytics EngineerData Analytics Engineer
Required CredentialsBachelor's or Master's in Data Science, Analytics, or related field; often leadership experienceBachelor's or Master's in Data Science, Analytics, or related field
Work EnvironmentLeads teams, manages projects, collaborates with stakeholdersDevelops data models, analyzes data, implements solutions
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprisesCommon in similar industries, often within data teams

The main difference is that a Manager Data Analytics Engineer oversees teams and projects, focusing on leadership and strategic planning, while a Data Analytics Engineer primarily develops and implements data solutions. Both roles require strong technical skills, but the manager role adds a layer of team management and stakeholder communication.

How does a manager data analytics engineer typically balance technical project work with team leadership responsibilities?

As a Manager Data Analytics Engineer, you are expected to split your time between overseeing complex analytics engineering tasks and guiding your team’s development. This involves setting project priorities, conducting code reviews, and ensuring data solutions align with business goals, while also mentoring team members and facilitating collaboration with stakeholders like data scientists and business analysts. Successful managers often establish clear communication channels and delegate tasks effectively, so they can stay hands-on with key projects while supporting the professional growth of their team.

What are the key skills and qualifications needed to thrive as a manager data analytics engineer, and why are they important?

To thrive as a Manager Data Analytics Engineer, you need a strong background in data engineering, analytics, and leadership, typically with a degree in computer science or a related field. Familiarity with tools like SQL, Python, data warehousing platforms (e.g., Snowflake, Redshift), and certifications in cloud technologies or data management are common requirements. Excellent communication, problem-solving, and team management skills set top performers apart in this role. These competencies are essential for driving data strategy, ensuring data quality, and leading analytics teams to deliver actionable business insights.

What is a manager data analytics engineer?

A Manager Data Analytics Engineer is a professional who leads a team of data analytics engineers responsible for designing, building, and maintaining data systems and analytics solutions. They oversee data pipeline development, ensure data quality, and collaborate with stakeholders to translate business requirements into technical solutions. In addition to technical expertise, they manage project timelines, mentor team members, and help drive data-driven decision-making across the organization.

What are the most commonly searched types of Data Analytics Engineer jobs in Tennessee?

The most popular types of Data Analytics Engineer jobs in Tennessee are:

What are popular job titles related to Manager Data Analytics Engineer jobs in Tennessee?

For Manager Data Analytics Engineer jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Manager Data Analytics Engineer jobs in Tennessee look for?

The top searched job categories for Manager Data Analytics Engineer jobs in Tennessee are:

What cities in Tennessee are hiring for Manager Data Analytics Engineer jobs?

Cities in Tennessee with the most Manager Data Analytics Engineer job openings:

data scientist, Data & Analytics (Nashville, TN)

Starbucks

Nashville, TN • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 11 days ago


Starbucks rating

6.7

Company rating: 6.7 out of 10

Based on 3,618 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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