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Data Analyst Computer Science Jobs in Tennessee (NOW HIRING)

FOCUSPOINT

Data Analyst

Nashville, TN · On-site

$40 - $57/hr

Bachelor's degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field. * Advanced Education (Preferred): Master's degree or certifications in data analytics or ...

Stifel

Data Analyst

Memphis, TN

The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests ... Bachelor's degree in Information Technology, Computer Science or Business Administration or ...

Stifel

Data Analyst

Memphis, TN

The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests ... Bachelor's degree in Information Technology, Computer Science or Business Administration or ...

Stifel

Data Analyst

Memphis, TN · On-site

The Data Analyst is responsible for servicing ad-hoc data extraction and reporting requests ... Bachelor's degree in Information Technology, Computer Science or Business Administration or ...

Federal Express Corporation

Sr. Data Analyst

Memphis, TN · On-site +1

$76K - $96K/yr

Typically uses data, statistical and quantitative analysis, limited modeling, and fact-based ... Master's degree in information systems, computer science, or a quantitative discipline such as ...

Premise Health

Data Science Analyst - Remote

Brentwood, TN · On-site +1

$75K - $87K/yr

Bachelor's or Master's degree in Business Analytics, Data Science, Computer Science, Statistics, or a related field * 3+ years of experience in a BI or analytics role focused on manipulating data and ...

SkyNano

Computer Science Intern

Knoxville, TN

Support integration of analysis features and image segmentation tools. * Help test and debug new ... Contribute to UI improvements for usability and reproducibility in scientific data workflows.

SkyNano

Computer Science Intern

Knoxville, TN · On-site

Support integration of analysis features and image segmentation tools. * Help test and debug new ... Contribute to UI improvements for usability and reproducibility in scientific data workflows.

Federal Express Corporation

Sr. Data Analyst

Memphis, TN

$76K - $96K/yr

Typically uses data, statistical and quantitative analysis, limited modeling, and fact-based ... Master's degree in information systems, computer science, or a quantitative discipline such as ...

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Data Analyst Computer Science information

Is 40 too late for data science?

Data analysts and data scientists can successfully transition into the field at age 40 or older, as skills in programming, statistics, and data visualization are valuable regardless of age. Many professionals acquire relevant certifications or learn tools like Python, R, or SQL later in their careers to enhance their prospects.

What are the key skills and qualifications needed to thrive as a Data Analyst in Computer Science, and why are they important?

To thrive as a Data Analyst in Computer Science, you need strong analytical skills, proficiency in statistics, and a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis tools such as SQL, Python, R, and data visualization platforms like Tableau or Power BI, as well as experience with database systems, are typically required. Attention to detail, problem-solving abilities, and effective communication help data analysts translate complex data into actionable insights for stakeholders. These skills are crucial for accurately interpreting data trends, supporting business decisions, and driving organizational growth.

What is a Data Analyst in Computer Science?

A Data Analyst in Computer Science is a professional who collects, processes, and analyzes data to help organizations make informed decisions. They use various statistical tools and programming languages, such as Python, R, and SQL, to interpret complex datasets and identify trends or patterns. Their work often involves cleaning data, creating visualizations, and preparing reports for stakeholders. Data Analysts play a key role in turning raw data into actionable insights that drive business strategies.

How does a Data Analyst with a computer science background typically collaborate with other departments within a company?

Data Analysts with a computer science background often work closely with teams such as marketing, product development, and IT to translate raw data into actionable insights. They may participate in cross-functional meetings to understand business goals, provide data-driven recommendations, and help automate data collection processes. Strong communication skills are essential, as analysts must explain technical findings in a way that non-technical stakeholders can understand. This collaborative environment not only broadens their impact but also exposes them to various aspects of the business, fostering professional growth.

Can I be a data analyst with computer science?

Yes, a background in computer science provides a strong foundation for a data analyst role, as it covers programming, data structures, and algorithms. Data analysts often use tools like SQL, Excel, and statistical software, and having programming skills in languages such as Python or R is highly beneficial.

Is a data analyst a high salary?

Data analysts typically earn competitive salaries that vary based on experience, location, and industry. In general, they have higher-than-average starting pay compared to many entry-level roles, especially when skilled in tools like Excel, SQL, and data visualization software. Advanced skills or certifications can lead to higher compensation.

Will AI replace a data analyst?

AI can automate routine data processing and basic analysis tasks, but data analysts are essential for interpreting complex data, making strategic decisions, and providing context. The role of a data analyst involves skills like critical thinking, domain knowledge, and communication, which are difficult for AI to fully replicate. Therefore, AI is more likely to augment rather than replace data analysts in the foreseeable future.
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Data Analyst Computer Science jobs near you
Infographic showing various Data Analyst Computer Science job openings in Tennessee as of July 2026, with employment types broken down into 1% Locum Tenens, 1% Internship, 84% Full Time, 6% Part Time, 2% Temporary, and 6% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.
Data Analyst

Data Analyst

FOCUSPOINT

Nashville, TN • On-site

$40 - $57/hr

Contractor

Medical, Dental, Vision, Life

Re-posted 22 days ago

Job description

Job Title: Data Analyst
Location: Franklin, TN; Brentwood, TN; Nashville, TN 
Employment Type: Contract
Pay: Commensurate with experience

About FOCUSPOINT:
FOCUSPOINT specializes in connecting top-tier professionals with exceptional opportunities in accounting, technology, healthcare, and leadership. We prioritize building meaningful connections, ensuring candidates find roles that align with their skills, goals, and passions.

Job Overview:
FOCUSPOINT is seeking experienced Data Analysts for our clients.

You'll play a vital role in transforming real-time data into actionable insights. These positions are ideal for professionals who thrive in a fast-paced environment and enjoy partnering across departments to solve complex problems. You'll work directly with stakeholders, engineers, operators, and senior leaders to uncover trends, identify anomalies, and deliver insights that drive smarter business decisions. If you're highly analytical, proactive, and comfortable translating data into strategy, we’d love to hear from you.

Key Responsibilities:

  • Partner with multiple business units to understand data-related needs and deliver timely, high-value analytical support.
  • Monitor system performance and live data streams to uncover trends, outliers, and patterns using statistical methods and visualization tools.
  • Detect anomalies and flag potential operational risks based on historical benchmarks and real-time signals.
  • Respond to system alerts and support incident triage, escalation, and resolution in coordination with engineering and operations teams.
  • Design and maintain dashboards, reports, and visualizations to communicate findings clearly across technical and non-technical audiences.
  • Create concise reports, dashboards and visualizatdions to communicate findings to non-technical stakeholders.
  • Collaborate with data engineers and platform teams to improve data accessibility, accuracy, and reliability.
  • Help define and operationalize alerts, thresholds, and KPIs used for proactive decision-making.
  • Identify workflow bottlenecks and recommend automation or process enhancements to boost efficiency.
  • Maintain accurate documentation, including incident logs, SOPs, and analytics playbooks for operational continuity and audit readiness.

Qualifications:

  • Education: Bachelor’s degree in Data Science, Statistics, Computer Science, Business Analytics, or a related field.
  • Advanced Education (Preferred): Master’s degree or certifications in data analytics or business intelligence tools.
  • Analytical Skills: Strong analytical and problem-solving capabilities.
  • Technical Skills: Proficient in SQL and data manipulation tools such as Excel, Python, or R.
  • BI Tools Experience: Skilled in using Power BI, Tableau, Looker, or similar platforms.
  • Data Methods: Familiarity with anomaly detection and trend analysis techniques.
  • Communication: Able to develop and deliver presentations and engage positively across all levels of the organization.
  • Organizational Abilities: Capable of prioritizing multiple tasks in a fast-paced, centralized environment.
  • Experience: 2 to 4 years in a data analyst or business intelligence role.
  • Cross-Functional Collaboration: Experience working with teams across business functions.
  • Domain Knowledge (Preferred): Background in operational analytics, command center environments, or real-time monitoring scenarios.

Benefits:

  • Dental insurance
  • Health insurance
  • Health savings account
  • Life insurance
  • Vision insurance