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Data Analytics Masters Jobs in Tennessee (NOW HIRING)

... data before relying upon it. โ€ข Depth and breadth in quantitative analysis knowledge. โ€ข Excellent quantitative modeling, statistical analysis, and problem-solving skills. Preferred : โ€ข Masters ...

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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 master?

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 master's 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.

What types of real-world projects or collaboration opportunities can a data analytics master 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 by providing advanced skills in statistical analysis, programming, and data visualization tools like Python and Tableau. It often leads to higher salaries and roles with greater responsibility, making it a valuable investment for those seeking to advance in the field.

What can I do with a master's in data analytics?

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

What is a data analytics master?

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:
What job categories do people searching Data Analytics Masters jobs in Tennessee look for? The top searched job categories for 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.

Power Systems Engineer Internship

EnerNex, LLC

Knoxville, TN โ€ข On-site

Internship

Re-posted 6 days ago


Job description

Basic Function
Supporting engineering studies on wind plants and utility power systems.
Education And Experience
Any experience level is considered. An applicant with an advanced degree (Masters or PhD) will work on more challenging tasks and will have more responsibilities than an applicant with a BSEE degree. The minimum duration of an Internship at EnerNex is three months; the maximum duration is six months.
Skills
  • Knowledge of conducting simulations and analytical studies of electric power systems including harmonic, transient, stability, and load flow analysis desirable
  • Knowledge of a power system simulation tool such as EMTP-RV, ATP, DIgSILENT, PSCAD/EMTDC, PSS/E, GE PSLF, Simulink for Power Systems, ETAP, Cape, OpenDSS, SuperHarm, etc. desirable
  • Good communications and report-writing skills in English required
  • Working knowledge in a high-level programming language (Matlab, VBA, Python, Java, C++, etc.) desirable
  • Working knowledge of data analysis techniques desirable
  • History of conference/journal publications desirable
  • Experience with power electronics desirable.

Duties And Responsibilities
Project tasks and responsibilities will be selected based on the level of experience. For instance, a candidate with a BSEE degree will likely work on closely-supervised tasks that will advance his/her knowledge on how to use simulation and data analysis tools while a candidate who has (or is working towards) and advanced degree is expected to work on challenging projects with limited supervision. Tasks an Intern at EnerNex can expect to work on are listed below:
  • Perform power system studies on wind plants and utility systems including harmonic analysis, transient analysis, temporary overvoltage/overcurrent analysis, ground fault settings, arc flash studies, short circuit studies, and protective device coordination.
  • Perform data analysis related to bulk transmission, distributed generation, and power quality studies.
  • Write engineering reports that document study results.
  • Develop software tools to assist in power system studies and data analysis tasks.
  • Perform routine work to meet project/task requirements.