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Junior Data Analyst Jobs in Springfield, TN (NOW HIRING)

Data Analyst

Nashville, TN · On-site

$40 - $57/hr

Data Analyst Location: Franklin, TN; Brentwood, TN; Nashville, TN Employment Type: Contract Pay: Commensurate with experience About FOCUSPOINT: FOCUSPOINT specializes in connecting top-tier ...

Job Title Demand Generation Data Analyst We're seeking a marketing analytics professional who partners cross-functionally to deliver advanced, AI-driven insights across campaigns and the funnel. You ...

Job TitleDemand Generation Data Analyst We're seeking a marketing analytics professional who partners crossfunctionally to deliver advanced, AIdriven insights across campaigns and the funnel. You'll ...

Data Engineer - Manager

Nashville, TN · On-site

$99K - $232K/yr

... within analytics frameworks - Identifying opportunities for data utilization to drive business growth and performance - Mentoring junior staff to develop their skills and encourage innovation ...

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Junior Data Analyst information

See Springfield, TN salary details

$32.6K

$74.9K

$120.4K

How much do junior data analyst jobs pay per year?

As of Jul 19, 2026, the average yearly pay for junior data analyst in Springfield, TN is $74,939.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,800.00 and $77,000.00 per year, depending on experience, location, and employer.

What are Junior Data Analysts?

Junior Data Analysts are entry-level professionals who collect, process, and perform basic analysis on data to help organizations make informed decisions. They typically work under the supervision of senior analysts, assisting with data cleaning, creating reports, and visualizing findings. Their responsibilities often include using tools like Excel, SQL, and data visualization software to interpret data trends and support business objectives. This role is ideal for individuals looking to start a career in data analytics and usually requires strong analytical skills and attention to detail.

What is the difference between Junior Data Analyst vs Data Scientist?

AspectJunior Data AnalystData Scientist
Required CredentialsBachelor's degree in data-related fields; basic knowledge of SQL, Excel, and data visualization toolsBachelor's or master's degree in data science, statistics, or related fields; advanced programming and statistical skills
Work EnvironmentEntry-level position in data teams; supports data collection, cleaning, and reportingAdvanced role involving complex data modeling, machine learning, and predictive analytics
Employer & Industry UsageCommon in finance, marketing, healthcare, and retail sectorsTypically found in tech, finance, and research-intensive industries

The main difference between a Junior Data Analyst and a Data Scientist lies in their experience, skill level, and responsibilities. Junior Data Analysts focus on data cleaning, basic analysis, and reporting, while Data Scientists handle complex modeling, machine learning, and predictive analytics. Both roles are essential in data-driven organizations, but they require different skill sets and experience levels.

What do junior data analysts do?

Junior data analysts collect, organize, and analyze data to help organizations make informed decisions. They often use tools like Excel, SQL, or data visualization software and support senior analysts by preparing reports and identifying trends. This role typically requires strong analytical skills and attention to detail, with opportunities for skill development and learning on the job.

Is 40 too late for data science?

A Junior Data Analyst role typically requires foundational skills in data analysis, programming, and tools like Excel, SQL, or Python. Age is not a barrier; many professionals transition into data roles later in their careers by gaining relevant certifications and experience.

What are some common challenges faced by Junior Data Analysts when working with large datasets, and how can they effectively overcome them?

Junior Data Analysts often encounter challenges such as data inconsistency, missing values, and handling large volumes of information when working with big datasets. To address these issues, it's important to develop strong data cleaning and preprocessing skills, use efficient data analysis tools like SQL and Python, and regularly collaborate with more experienced team members for guidance. Additionally, documenting your data processing steps and validating results with stakeholders can help ensure accuracy and build confidence in your analyses.

Can I be a data analyst with no experience?

Junior data analyst roles often require some familiarity with data analysis tools like Excel, SQL, or Python, but many employers are open to candidates with little to no professional experience if they demonstrate strong analytical skills and a willingness to learn. Entry-level positions may also provide on-the-job training or require relevant coursework or certifications. Building a portfolio of projects or completing online courses can improve your chances of starting a career as a data analyst without prior experience.

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

A Junior Data Analyst needs a solid grounding in statistics, data interpretation, and familiarity with data management, usually supported by a bachelor’s degree in a quantitative field. Competence in Excel, SQL, and data visualization tools like Tableau or Power BI, as well as basic programming in Python or R, is often required. Attention to detail, problem-solving abilities, and strong communication skills help analysts effectively interpret data and present insights. These skills are crucial for accurately analyzing data, informing business decisions, and contributing value to teams and organizations.

What Does a Junior Data Analyst Do?

Junior data analysts work with a team of data analysts to translate data for businesses or government agencies. Data analysts work in many industries, including finance, accounting, health care, pharmaceuticals, technology, and in government agencies. They use algorithms and other tools to help an organization understand different aspects of this data, such as costs, market research, or sales numbers, which will enable them to make better business decisions for the future. A junior data analyst is an entry-level position and will involve seeking and collecting relevant data, as well as documenting the information be processed. Job duties include gathering data, interpreting the statistics, writing reports, and designing charts and graphs.

What is the salary for junior data analysts?

The salary for a junior data analyst typically ranges from $50,000 to $70,000 annually, depending on location, industry, and experience. Entry-level roles often require proficiency in tools like Excel, SQL, and basic data visualization software.
What are the most commonly searched types of Data Analyst jobs in Springfield, TN? The most popular types of Data Analyst jobs in Springfield, TN are:
What cities near Springfield, TN are hiring for Junior Data Analyst jobs? Cities near Springfield, TN with the most Junior Data Analyst job openings:
Infographic showing various Junior Data Analyst job openings in Springfield, TN as of July 2026, with employment types broken down into 100% Full Time. Highlights an 91% In-person, and 9% Remote job distribution, with an average salary of $74,939 per year, or $36 per hour.
Data Analyst

Data Analyst

FOCUSPOINT

Nashville, TN • On-site

$40 - $57/hr

Contractor

Medical, Dental, Vision, Life

Re-posted yesterday


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