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Software Engineer Data Analyst Jobs in Tennessee

Pull, clean, and validate data from multiple systems to ensure reporting is accurate and ... Familiarity with Python or other analytics/programming languages * Understanding of statistical ...

... data analyst tool/IDQ Knowledge of XML and other databases like DB2, teradata and SQL. Experience ... Ability to quickly learn new concepts and software is necessary Additional Information Job Status ...

... data driven, micro service stacks to discover creative solutions for real world problems in the ... problems. • Analytical thinking. • Resourcefulness and independent judgement. Company ...

Bachelor's degree in Supply Chain Management, Business Analytics, Data Science, Industrial Engineering, or a related field. * Experience in supply chain analytics or data analysis, preferably within ...

Data Analyst I Location: Lebanon, TN If you're looking for a career where purpose meets opportunity ... Proficient with Microsoft Office and other standard software applications * Familiar with data ...

Data Analyst I Location: Lebanon, TN If you're looking for a career where purpose meets opportunity ... Proficient with Microsoft Office and other standard software applications * Familiar with data ...

... Software Developers who are looking for chances to grow and make an impact towards our new retail ... Utilize extensive SQL queries for data analysis, to provide summary reports and data feeds for ...

... Software Developers who are looking for chances to grow and make an impact towards our new retail ... Utilize extensive SQL queries for data analysis, to provide summary reports and data feeds for ...

Software Development/ Engineering Main location: United States, Tennessee, Nashville Position ID ... Data engineering experience in one of the following: ETL, Data Analytics, or Master Data Management

Senior Software Engineer

Franklin, TN · On-site

$121K - $159K/yr

NLB Services is seeking a Senior Software Engineer to join their Data Analytics Power BI Team as an ETL Developer. The role involves understanding the SDLC, writing quality code, reviewing team ...

Showing results 21-40

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 Aug 8, 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

nexAir

Memphis, TN • On-site

Full-time

Re-posted 16 days ago


nexAir rating

7.1

Company rating: 7.1 out of 10

Based on 8 frontline employees who took The Breakroom Quiz


Job description

Key Responsibilities
  • Partner with sales, operations, and leadership to turn business questions into actionable insights

  • Pull, clean, and validate data from multiple systems to ensure reporting is accurate and trustworthy

  • Build and maintain dashboards, reports, and analytics solutions that help teams track performance and make decisions

  • Leverage Microsoft Fabric and modern analytics tools to deliver scalable reporting and data solutions

  • Automate recurring data pulls, reporting processes, and workflows to improve efficiency and reduce manual effort

  • Utilize AI tools and emerging technologies to enhance productivity, streamline analysis, and uncover new opportunities

  • Support ad hoc requests and investigate business issues to identify root causes and recommend improvements

  • Think creatively and challenge conventional approaches to solve complex business problems

  • Continuously look for opportunities to do more with less by improving processes, increasing automation, and maximizing the value of available resources

  • Help drive a data-driven culture by translating complex data into clear, actionable business recommendations

Required Qualifications
  • Bachelor's degree in a related field (or equivalent hands-on experience)

  • 2+ years of experience working with data in a business environment

  • Strong skills in Excel, SQL, and report writing

  • Proficiency in Microsoft Fabric and Power BI

  • Experience leveraging AI tools to improve analysis, reporting efficiency, and business outcomes

  • Ability to transform complex, real-world data into meaningful insights and recommendations

  • Strong analytical and problem-solving skills with a demonstrated ability to think outside the box

  • Personable communicator who can explain the "so what" to a non-technical audience and build trust across teams

Preferred Qualifications
  • Experience with data modeling, automation, and business intelligence best practices

  • Familiarity with Python or other analytics/programming languages

  • Understanding of statistical analysis and predictive analytics concepts

  • Experience optimizing business processes through automation and AI-driven solutions

  • Strong attention to detail, intellectual curiosity, and a continuous improvement mindset

  • Demonstrated ability to balance innovation with efficiency and consistently find ways to accomplish more with less

What Success Looks Like
  • Delivers trusted, actionable insights that influence business decisions

  • Identifies opportunities for automation and process improvement

  • Uses AI and analytics tools to increase team productivity and effectiveness

  • Brings innovative thinking and fresh perspectives to business challenges

  • Creates scalable reporting solutions that reduce manual effort and improve decision-making across the organization

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws.
For further information, please review the Know Your Rights notice from the Department of Labor.

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