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Statistical Engineering Jobs in Tennessee (NOW HIRING)

Ra

Marketing Analytics Manager

Louisville, TN

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

Ra

Marketing Analytics Manager

Nashville, TN

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc. Who is proficient in Customer-level data analysis. Qualifications Who ...

xAI

Data Analyst - Physical Infrastructure

Memphis, TN · On-site

... Statistics, Engineering, Operations Research, or related quantitative field Company : XAI is an artificial intelligence startup that develops AI solutions and tools to enhance reasoning and search ...

xAI

Data Analyst - Physical Infrastructure

Memphis, TN · On-site

Advanced degree in Data Science, Statistics, Engineering, Operations Research, or related quantitative field xAI is an equal opportunity employer. For details on data processing, view our Recruitment ...

Actalent

Quality Engineer

Morristown, TN · On-site

$63.10K - $81.40K/yr

Provide statistical analysis support for manufacturing operations, new product development projects, trials, and validation activities. * Conduct quality and engineering studies to support ...

Actalent

Quality Engineer

Morristown, TN · On-site

$63.10K - $81.40K/yr

Provide statistical analysis support for manufacturing operations, new product development projects, trials, and validation activities. * Conduct quality and engineering studies to support ...

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Statistical Engineering information

See Tennessee salary details

$57.2K

$67.1K

$74.9K

How much do statistical engineering jobs pay per year?

As of May 31, 2026, the average yearly pay for statistical engineering in Tennessee is $67,147.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,400.00 and $71,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Statistical Engineer, and why are they important?

To thrive as a Statistical Engineer, you need strong quantitative analysis skills, a background in statistics or mathematics, and often a relevant degree such as in engineering or applied statistics. Proficiency with statistical software (e.g., R, SAS, Python), data management systems, and sometimes Six Sigma certification is typically required. Critical thinking, problem-solving, and clear communication are crucial soft skills for interpreting data and collaborating with multidisciplinary teams. These skills ensure accurate data-driven decisions, efficient process improvements, and effective solutions to complex engineering challenges.

How does a Statistical Engineer typically collaborate with cross-functional teams to implement data-driven solutions?

Statistical Engineers frequently work alongside data scientists, software engineers, and business analysts to design and implement robust data-driven solutions. They are responsible for translating complex statistical models into actionable insights and ensuring that these models are integrated effectively within existing systems. Collaboration often involves regular meetings to align on project goals, sharing progress updates, and troubleshooting technical challenges together. This interdisciplinary teamwork is essential for ensuring that statistical methodologies are not only theoretically sound but also practically applicable to real-world business problems.

What is statistical engineering?

Statistical engineering is an interdisciplinary field that focuses on the integration and application of statistical methods and principles to solve complex, large-scale problems in science, business, and engineering. It involves designing data collection processes, analyzing and interpreting data, and implementing statistical solutions within larger systems. Statistical engineers often work on projects that require collaboration with other engineering disciplines, using statistics as a foundational tool to drive decision-making and innovation.

What is the difference between Statistical Engineering vs Data Scientist?

AspectStatistical EngineeringData Scientist
Required credentialsStatistics, Data Analysis, EngineeringStatistics, Computer Science, Data Analysis
Work environmentManufacturing, R&D, Engineering teamsBusiness, Tech, Research sectors
Employer usageOptimizing processes, designing experimentsBuilding models, insights, predictive analytics

Statistical Engineering focuses on applying statistical methods to improve engineering processes and product development, often within manufacturing or R&D settings. Data Scientists analyze large datasets to extract insights, build predictive models, and support business decisions. While both roles require strong statistical skills, Statistical Engineering emphasizes process optimization and experimental design, whereas Data Scientists focus on data-driven insights across diverse industries.

What are popular job titles related to Statistical Engineering jobs in Tennessee? For Statistical Engineering jobs in Tennessee, the most frequently searched job titles are:
What job categories do people searching Statistical Engineering jobs in Tennessee look for? The top searched job categories for Statistical Engineering jobs in Tennessee are:
What cities in Tennessee are hiring for Statistical Engineering jobs? Cities in Tennessee with the most Statistical Engineering job openings:
Statistical Engineering jobs near you

Marketing Analytics Manager

Ra

Louisville, TN

Full-time

Posted 16 hours ago

Job description

Company Description

About Client:

They help in transforming the leading organizations and communities around the world. Organizations infrastructure and culture is amazing. Best place!!

Job Description

Job Title: Marketing Analytics Manager

Job Level: Mid - Senior Level


Job Description:

This is what you will do..

You will be using quantitative methods to assess the impact of offline and digital marketing.

You will be interacting with the client. 

You will be providing analyses, recommendations, presentations and advice to clients.

You will be doing project-based analytics which includes Marketing Mix Modeling, Multi-Channel Attribution, Digital Analytics, Pricing and Promotion and Demand Forecasting.

You will be leading a team and you will be responsible for team's growth.


We are looking for someone...

Who has nearly 5+ years of experience in the analysis of Marketing data using SAS and other statistical modeling tools.

Who is good in management or leadership role.

Who is good in providing external consulting.

Who is proficient in SAS or other statistical modeling tools.

Who enjoys traveling, because this role involves traveling (80% to 100%).

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc.

Who is proficient in Customer-level data analysis.





Qualifications

Who has nearly 5+ years of experience in the analysis of Marketing data using SAS and other statistical modeling tools.

Who is good in management or leadership role.

Who is good in providing external consulting.

Who is proficient in SAS or other statistical modeling tools.

Who enjoys traveling, because this role involves traveling (80% to 100%).

Who is proficient in Applied Statistics/Econometrics, Statistical Programming, Database Marketing Management & Operations etc.

Who is proficient in Customer-level data analysis.



Additional Information

All your information will be kept confidential according to EEO guidelines.

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