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Freelance Data Analytics Engineer Jobs in Tennessee

Oracle

Senior Data Engineer

Nashville, TN · On-site

$102K - $139K/yr

The Capacity Data Analytics team plays a strategic role in enabling OCI's continued growth by ... Partner with engineering, finance, product, and business stakeholders to understand requirements ...

SEI

Data and Analytics Consultant

Nashville, TN · On-site

Data Architecture and Engineering * Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. * Experience designing and ...

LP Building Solutions

Data Scientist

Nashville, TN · On-site

Work with the IT Data Engineering team to integrate data from multiple sources including CRM, ERP, Operational systems, web analytics, and third-party datasets for analysis * Research and implement ...

Pick Your Part

Data Reporting Analyst

Brentwood, TN · Hybrid

Responsible for performing general analytics and statistical modeling on existing data sets in ... Python or R programming experience. * Experience supporting multi-site operations or field-based ...

Astec Industries

Data Analyst Intern

Chattanooga, TN · On-site

To be successful in this role, your experience and competencies are: • Currently pursuing or recently completed a degree in Data Analytics, Business, Computer Science, Engineering, or a related ...

SEI

Data and Analytics Consultant

Nashville, TN · On-site

Data Architecture and Engineering * Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. * Experience designing and ...

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Freelance Data Analytics Engineer information

What is the difference between Freelance Data Analytics Engineer vs Data Scientist?

AspectFreelance Data Analytics EngineerData Scientist
CredentialsOften requires a degree in data analysis, statistics, or related fields; certifications like Google Data Analytics or Microsoft Certified Data Analyst are commonTypically holds a degree in computer science, statistics, or related fields; certifications like Certified Data Scientist or SAS Certified Data Scientist are common
Work EnvironmentFreelance, project-based, remote or on-site depending on client needsUsually employed full-time in organizations or research settings; some freelance roles exist but are less common
Industry UsageUsed across various industries including finance, marketing, healthcare, and e-commercePrimarily in tech, finance, healthcare, and research sectors

While both roles analyze data to extract insights, Freelance Data Analytics Engineers focus on building and maintaining data pipelines and dashboards on a project basis, whereas Data Scientists develop predictive models and advanced algorithms, often requiring deeper statistical expertise.

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:
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Freelance Data Analytics Engineer jobs near you

Data Analyst - Physical Infrastructure

SpaceXAI

Memphis, TN

Full-time

Re-posted 21 days ago

SpaceX rating

8.8

Company rating: 8.8 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

15th of 72 rated aerospace companies

Job description

SpaceXAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. Our team is small, highly motivated, and focused on engineering excellence. This organization is for individuals who appreciate challenging themselves and thrive on curiosity. We operate with a flat organizational structure. All employees are expected to be hands-on and to contribute directly to the company's mission. Leadership is given to those who show initiative and consistently deliver excellence. Work ethic and strong prioritization skills are important. All employees are expected to have strong communication skills. They should be able to concisely and accurately share knowledge with their teammates.

ABOUT THE ROLE:

We are seeking a Data Analyst to join SpaceXAI's Infrastructure team responsible for building and operating world-class datacenters and power generation facilities. In this role, you will analyze power and cooling performance data, develop forecasts for utility consumption and costs, build and maintain business analytics dashboards, and deliver data-driven insights to optimize our rapidly expanding physical infrastructure for AI supercomputing.

RESPONSIBILITIES:
  • Collect, clean, integrate, and analyze high-volume power, cooling, and energy usage data from datacenter facilities and power plants
  • Build and refine forecasting models for electricity, water, and other utility consumption to support budgeting, planning, and procurement
  • Design, develop, and maintain interactive business intelligence dashboards and reports (using tools such as Seeq, Tableau, Power BI, Looker, or similar)
  • Identify trends, anomalies, inefficiencies, and optimization opportunities in power distribution and cooling systems
  • Partner with mechanical, electrical, and facilities engineering teams to translate analytical findings into engineering and operational improvements
  • Support infrastructure expansion planning through scenario analysis, capacity modeling, and cost projections
  • Automate data collection pipelines and reporting processes to enable real-time visibility and decision making
  • Present clear, actionable insights and recommendations to cross-functional teams and leadership
BASIC QUALIFICATIONS:
  • 4+ years of professional experience in data analysis, business intelligence, or analytics engineering
  • Strong SQL skills and proficiency in Python (pandas, scikit-learn, or similar) or R for data analysis and modeling
  • Hands-on experience building dashboards and visualizations with Tableau, Power BI, Looker, or equivalent
  • Solid foundation in statistics, time-series analysis, and forecasting techniques
  • Experience working with large datasets and building scalable reporting solutions
  • Excellent written and verbal communication skills
PREFERRED SKILLS AND EXPERIENCE:
  • Background in energy, utilities, datacenters, critical infrastructure, or industrial facilities
  • Familiarity with SCADA systems, building management systems (BMS), or IoT sensor data
  • Experience with cloud data platforms (Snowflake, BigQuery, AWS/GCP/Azure data services)
  • Knowledge of power systems, HVAC/cooling efficiency metrics (PUE, WUE, etc.), or energy modeling
  • Advanced degree in Data Science, Statistics, Engineering, Operations Research, or related quantitative field

SpaceXAI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

What SpaceX employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

SpaceX logo

About SpaceX

Sourced by ZipRecruiter

Industry

Aerospace product and parts manufacturing, data services, guided missile and space vehicle manufacturing and satellite telecommunications

Company size

1,001 - 5,000 Employees

Headquarters location

Hawthorne, CA, US

View All SpaceX Jobs