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Software Engineer Data Analyst Jobs in Tennessee

Data & Analytics Engineer

Nashville, TN · On-site

$110K - $132K/yr

Data & Analytics Engineer Category: Analytics and Emerging Digital Technologies Main location ... Software development experience in languages such as Java, .NET, or Python . Experience with ...

... and podcasting, which bring data, targeting and attribution to all forms of audio at an ... Analytical thinking * Resourcefulness and independent judgement Location: Nashville, TN; 1200 ...

... and podcasting, which bring data, targeting and attribution to all forms of audio at an ... Analytical thinking * Resourcefulness and independent judgement Location: Nashville, TN; 1200 ...

Software Engineer Full-time job, 40 hours per week Pay/Salary: $135,304.00 year. Number of Openings ... Analyze user needs and develop software solutions using Java to build enterprise level software ...

Software Engineer Full-time job, 40 hours per week Pay/Salary: $135,304.00 year. Number of Openings ... Analyze user needs and develop software solutions using Java to build enterprise level software ...

Software Engineer Full-time job, 40 hours per week Pay/Salary: $135,304.00 year. Number of Openings ... Analyze user needs and develop software solutions using Java to build enterprise level software ...

Join us as a Software Engineer in Holland, MI as we work together to bring innovative automation ... These applications range from basic HMI's to backend-heavy data handling applications, up to and ...

Sr. Data Analyst

Memphis, TN · On-site

$76K - $96K/yr

Typically uses data, statistical and quantitative analysis, limited modeling, and fact-based ... Ability to collaborate cross-functionally with architects, engineers, operations teams, and ...

Sr Software Engineer

Nashville, TN · On-site +1

$118K - $156K/yr

Overview As a Senior Software Engineer, you are expected to provide critical thinking, a high ... Stripe, Redis, Postgres, large scale data analytics and failure analysis You Get: * Annual salary ...

Sr Software Engineer

Nashville, TN

$118K - $156K/yr

Overview As a Senior Software Engineer, you are expected to provide critical thinking, a high ... Stripe, Redis, Postgres, large scale data analytics and failure analysis You Get: * Annual salary ...

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Showing results 1-20

Software Engineer Data Analyst information

See Tennessee salary details

$40.4K

$117.7K

$161.1K

How much do software engineer data analyst jobs pay per year?

As of Jul 15, 2026, the average yearly pay for software engineer data analyst in Tennessee is $117,733.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,900.00 and $124,800.00 per year, depending on experience, location, and employer.

What is the difference between Software Engineer Data Analyst vs Data Scientist?

AspectSoftware Engineer Data AnalystData Scientist
Required CredentialsBachelor's in CS, Data Analysis, or related; programming skillsBachelor's or higher in CS, Statistics, or related; advanced analytics skills
Work EnvironmentSoftware development teams, data analysis projectsResearch, modeling, predictive analytics teams
Employer & Industry UsageTech companies, finance, healthcareTech firms, research institutions, finance
Common Search & ComparisonOften compared for data roles involving coding and analysisMore focused on predictive modeling and research

The main difference between a Software Engineer Data Analyst and a Data Scientist lies in their focus and skill set. Software Engineers Data Analysts primarily develop data tools and analyze data using programming, while Data Scientists focus on building predictive models and advanced analytics. Both roles require strong technical skills, but Data Scientists typically have more expertise in statistics and machine learning.

How do Software Engineer Data Analysts typically collaborate with other teams to deliver data-driven solutions?

Software Engineer Data Analysts work closely with cross-functional teams, including data scientists, product managers, and software developers, to collect requirements and translate business needs into actionable analytics solutions. They often participate in regular meetings to align on project goals, share progress, and troubleshoot data integration challenges. Effective communication is key, as they must explain technical findings to non-technical stakeholders and ensure that the data pipelines and dashboards they develop meet end-user needs. This collaborative environment provides opportunities to broaden technical skills and gain insights into various business functions.

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

To thrive as a Software Engineer Data Analyst, you need strong programming skills (such as Python or Java), a solid understanding of data structures and algorithms, and a background in statistics or computer science. Proficiency in SQL, data visualization tools (like Tableau or Power BI), and experience with big data platforms (such as Hadoop or Spark) are typically required, along with relevant certifications. Analytical thinking, problem-solving ability, and effective communication help you translate complex data into actionable insights. These skills ensure you can extract, analyze, and communicate data-driven solutions that support business objectives.

What is a Software Engineer Data Analyst?

A Software Engineer Data Analyst is a professional who combines software engineering skills with data analysis expertise to extract insights from data and build applications or tools for data processing. They typically design, develop, and maintain software systems that collect, store, and analyze large datasets. Their role often involves writing code to automate data workflows, create dashboards, and perform statistical analyses. These professionals work closely with other engineers, data scientists, and business stakeholders to support data-driven decision making.
What cities in Tennessee are hiring for Software Engineer Data Analyst jobs? Cities in Tennessee with the most Software Engineer Data Analyst job openings:

Data Analyst - Physical Infrastructure

SpaceXAI

Memphis, TN

Other

Re-posted 25 days ago


Job description

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