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Data Analyst Data Science Jobs in Dunlap, TN (NOW HIRING)

Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping ... scientific literacy. * Effective Teaching Methods: Ability to identify concepts students commonly ...

Guide the integration of AI/ML capabilities into analytics platforms , including predictive, prescriptive, and generative AI use cases. * Collaborate with Data Science, Engineering, Security, and ...

Strong critical-thinking, analytical, and problem-solving skills * High attention to detail and commitment to data accuracy and integrity * Ability to manage competing priorities in a dynamic ...

Strong critical-thinking, analytical, and problem-solving skills * High attention to detail and commitment to data accuracy and integrity * Ability to manage competing priorities in a dynamic ...

Ability to explain scientific principles, laboratory techniques, and data analysis methods while preparing students for AP science courses, Regents examinations, and college science prerequisites.

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Data Analyst Data Science information

See Dunlap, TN salary details

$28.7K

$69.7K

$114.8K

How much do data analyst data science jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data analyst data science in Dunlap, TN is $69,740.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,700.00 and $81,900.00 per year, depending on experience, location, and employer.

What does a data analyst in data science do?

A Data Analyst in Data Science collects, processes, and analyzes large sets of data to help organizations make informed decisions. They use statistical techniques and data visualization tools to identify trends, patterns, and insights from data. Their responsibilities often include cleaning data, creating reports, and communicating findings to stakeholders. Data Analysts play a key role in helping businesses optimize operations, understand customer behavior, and solve complex problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst in data science?

To thrive as a Data Analyst in Data Science, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, computer science, or a related field. Familiarity with tools like SQL, Python or R, and data visualization platforms such as Tableau or Power BI, along with industry-recognized certifications, is highly valued. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and convey findings to stakeholders. These skills are crucial for transforming raw data into actionable intelligence that drives strategic business decisions.

How do data analysts in data science typically collaborate with other departments or teams?

Data Analysts in Data Science frequently work cross-functionally, partnering with teams such as engineering, product management, marketing, and business intelligence. They translate complex data findings into actionable insights and tailor their communication to both technical and non-technical stakeholders. Regular collaboration may involve participating in meetings to understand business needs, designing dashboards for different teams, and providing data-driven recommendations to support company objectives. This collaborative environment not only enhances project outcomes but also fosters continuous learning and professional growth.

What is the difference between Data Analyst Data Science vs Data Engineer?

AspectData Analyst Data ScienceData Engineer
Required SkillsStatistics, programming (Python, R), data visualizationDatabase systems, ETL pipelines, programming (Python, Java)
Work EnvironmentAnalyzing data, building models, reportingBuilding and maintaining data infrastructure
CertificationsData Science certifications, SQL, PythonCloud certifications, database management
Industry UsageBusiness analysis, predictive modelingData infrastructure, big data systems

Data Analyst Data Science focuses on analyzing data and creating models to inform decisions, while Data Engineers build the systems that collect, store, and process data. Both roles require programming skills and often overlap in tools like Python and SQL, but their core responsibilities differ significantly.

What job categories do people searching Data Analyst Data Science jobs in Dunlap, TN look for?

The top searched job categories for Data Analyst Data Science jobs in Dunlap, TN are:

What cities near Dunlap, TN are hiring for Data Analyst Data Science jobs?

Cities near Dunlap, TN with the most Data Analyst Data Science job openings:

Full-time

Re-posted 15 days ago


Element Materials Technology rating

7.1

Company rating: 7.1 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

81st of 121 rated laboratories


Job description

Element has an opportunity for a Data Processor to join our rapidly expanding team. As a member of the operations team in one of the various laboratories across Element, the Data Processer position primarily responsible for assisting in designing, planning, and coordinating geotechnical instrumentation projects, scheduling control, obtaining permits for on-site installation, and setting up and commissioning monitoring.

Responsibilities

  • Propose engineering documents for clients' approval, on-site installation and hands-on monitoring of sensors, instruments, and equipment 
  • Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis, submission of reports 
  • Attending project meetings, schedule control, submit for permits for on-site installation, set up, and commission monitoring 
  • Assist in designing, planning, and coordinating geotechnical instrumentation projects, scheduling control, obtaining permits for on-site installation, and setting up and commissioning monitoring, providing input into health, safety, environmental and quality policies ensuring uptodate documentation 
  • Liaise and coordinate with client for installation and monitoring issues while overseeing all instrumentation works including production of method statements, project quality plan, calibration, installation, data acquisition, data verification, data processing, web database, data presentation, update of instrumentation drawings and reporting 
  • Shall be responsible for preparing all necessary reports as specified in the contract’s documents and client submission 

Skills / Qualifications

  • Working experience in geotechnical instrumentation and site investigation works 
  • Physically fit and able to withstand the challenging working conditions 
  • Strong and determined quality focus with indefatigable determination to get the job done under the most challenging conditions 
  • Self-motivated team player with excellent organisational and communication skills

What Element Materials Technology employees say

Pay

Benefits

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