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Junior Data Analyst Jobs in Decatur, GA (NOW HIRING)

Expected to take a lead role in guiding data strategy and mentoring junior data scientists or analysts. Essential Duties & Responsibilities * Fully support, configure, maintain, and upgrade networks ...

Senior Data Analyst

Atlanta, GA · On-site

$82K - $104K/yr

Senior Data Analyst Location: 270 Washington Street SE, Suite 5-181, Atlanta, GA 30334 (On Site ... Assists with orientation, training, or providing task guidance of junior team members. Provides ...

Data analyst responsibilities include conducting a full lifecycle analysis to include requirements, activities and design. Data analysts will develop research and reporting capabilities. They will ...

Data analyst responsibilities include conducting a full lifecycle analysis to include requirements, activities and design. Data analysts will develop research and reporting capabilities. They will ...

Mentor junior analysts and promote analytics best practices across teams Required Qualifications: * Bachelor's degree in Data Analytics, Computer Science, Information Systems, Statistics, Business ...

Data Analyst Location: Atlanta, GA - Onsite Contract job Data Analyst - Job Requirements Core Skills & Competencies * Requirements Gathering: * Ability to work with business stakeholders to ...

Data Analyst

Norcross, GA · On-site

$75K/yr

We are seeking a Data Analyst to join our tax recovery team, focusing on sales tax refund reviews . The ideal candidate will analyze transaction-level data, identify overpaid taxes, and support the ...

Data Analyst

Atlanta, GA · On-site

$70K - $100K/yr

The Data Analyst will provide data analysis, reporting, and visualization support to the Statistics & Data Science team across post-market surveillance, manufacturing, R&D, and clinical data sources.

New

Data Analyst Location: Atlanta, GA / Nashville, TN Duration: Long term contract Note: Looking for Permanent / Visa independent consultants We are looking for a talented Data Analyst who can turn ...

Senior Principal Data Analyst

Atlanta, GA

$82K - $104K/yr

Mentor and guide junior analysts, ensuring adherence to best practices in data analysis and visualization. You Are * Bachelor's Degree with a quantitative focus (Economics, Finance, Computer Science ...

Data Analyst Location: Atalnta, GA PRIMARY DUTIES AND RESPONSIBILITIES * Perform job responsibilities with minimal supervision * Extract primary data from Oracle Database with the use of SQL

I have an opportunity for a "Data Analyst" - ( Alpharetta, GA - Hybrid) and I am looking for a candidate who can join Immediately if you are interested, reply to me with your updated resume or if you ...

I have an opportunity for a " Data Analyst " - (Alpharetta, GA - Onsite ). and I am looking for a candidate who can join Immediately if you are interested, reply to me with your updated resume or if ...

Previous experience with analytics preferred Experience with data visualization tools such as PowerBI or Tableau Familiarity with scripting languages such as Python or R for data manipulation and ...

I have an opportunity for a " Data Analyst " - (Alpharetta, GA - Onsite ). and I am looking for a candidate who can join Immediately if you are interested, reply to me with your updated resume or if ...

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Junior Data Analyst information

See Decatur, GA salary details

$33.7K

$77.5K

$124.5K

How much do junior data analyst jobs pay per year?

As of Jun 19, 2026, the average yearly pay for junior data analyst in Decatur, GA is $77,474.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,600.00 and $79,600.00 per year, depending on experience, location, and employer.

How to get a junior data analyst job with no experience?

To secure a junior data analyst position with no experience, focus on building foundational skills in data analysis tools like Excel, SQL, and Python, and complete relevant online courses or certifications. Gaining practical experience through internships, volunteering, or personal projects can also demonstrate your abilities to employers.

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.

Can ISFJ be a data analyst?

ISFJ is a personality type from the Myers-Briggs Type Indicator and does not determine whether someone can be a data analyst. Success in a data analyst role depends on skills such as data interpretation, proficiency with tools like Excel or SQL, and analytical thinking, regardless of personality type.

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, clean, and analyze data to help organizations make informed decisions. They use tools like Excel, SQL, and data visualization software, and often work under supervision to support reporting and data management tasks.

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.

Is it worth becoming a data analyst in 2026?

The data analyst role is expected to remain in demand in 2026 due to increasing reliance on data-driven decision making across industries. Skills in SQL, Excel, and data visualization tools like Tableau or Power BI will continue to be valuable, and certifications can enhance job prospects. The role offers opportunities for growth as organizations prioritize analytics and business intelligence.

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 are the most commonly searched types of Data Analyst jobs in Decatur, GA? The most popular types of Data Analyst jobs in Decatur, GA are:
What job categories do people searching Junior Data Analyst jobs in Decatur, GA look for? The top searched job categories for Junior Data Analyst jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Junior Data Analyst jobs? Cities near Decatur, GA with the most Junior Data Analyst job openings:
Infographic showing various Junior Data Analyst job openings in Decatur, GA as of June 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 100% In-person job distribution, with an average salary of $77,474 per year, or $37.2 per hour.

Data Scientist

nLeague Services Inc

Atlanta, GA • On-site

Contractor

Posted 24 days ago


Job description

Job ID: 65041
Data Scientist
Client: City of Atlanta- Aviation
Duration: 
Location: 6000 N. Terminal Pkwy, Atlanta, GA 30320
Onsite
 
General Description and Classification Standards 
The Data Scientist is responsible for maintaining and enhancing the organization's data infrastructure, creating advanced analytics solutions, and leveraging machine learning to improve decision-making and business efficiency. You will oversee the deployment, configuration, and continuous improvement of data models and infrastructure, ensuring robust performance and data security. In this role, you will work collaboratively with cross-functional teams to achieve organizational goals, offering innovative data-driven insights and solutions.
Supervision Received 
Works under minimal supervision. May work independently with responsibility for specific functions or programs. Expected to take a lead role in guiding data strategy and mentoring junior data scientists or analysts.
Essential Duties & Responsibilities 
  • Fully support, configure, maintain, and upgrade networks and servers at the Department of Aviation
  • Model Development and Optimization: Design, build, and refine predictive models and algorithms to enhance decision-making and drive business value.
  • Data Infrastructure Management: Maintain and optimize data pipelines, ensuring data integrity, security, and performance across the organization.
  • Data Strategy & Research: Research and propose cutting-edge data science techniques and methodologies to improve existing processes and introduce new data-driven initiatives.
  • Advanced Analytics & Insights: Provide deep analytical insights to solve complex business problems using statistical models, machine learning, and artificial intelligence.
  • Collaboration: Work with stakeholders across various departments (e.g., marketing, finance, operations) to understand data needs and deliver tailored analytics solutions.
  • Network & System Optimization: Ensure the organization’s data systems and models are operating at optimal levels, performing regular updates and improvements.
  • Performance Monitoring: Oversee the monitoring of data model performance, ensuring accuracy, scalability, and stability.
  • Technical Documentation: Write and maintain comprehensive documentation for all data science projects, including system architecture, model performance, and experiment results.
  • Customer-Focused Approach: Deliver clear, actionable insights to non-technical stakeholders, supporting business units in leveraging data for enhanced decision-making.
  • Mentorship: Act as a technical resource and mentor for junior data scientists and data analysts, guiding them in best practices, troubleshooting, and project execution.
Essential Duties & Responsibilities 
Support:
·    Respond to and resolve complex data-related issues, collaborating with IT support teams as necessary.
·    Ensure compliance with data governance and security standards.
·    Provide recommendations for improving data infrastructure and processes to increase business efficiency.
·    Deliver ongoing support for mission-critical business functions through data-driven strategies.
·    Develop and maintain data recovery and contingency plans in case of system failure or other disruptions.
Decision Making 
  • Selects from multiple procedures and methods to accomplish tasks. Follows standardized procedures and written instructions to accomplish assigned tasks.
  • Selects appropriate data science methodologies and tools to achieve business goals.
  • Exercises judgment in balancing short-term project deliverables with long-term data strategy.
  • Influences business decisions by providing actionable insights based on thorough data analysis.
Leadership Provided
  • Serves as a technical resource or mentor to other employees. May lead or instruct less experienced workers in high level or technical jobs.
  • Acts as a technical leader in the data science team, providing guidance and mentorship to less experienced team members.
  • Contributes to the strategic direction of the data science function within the organization.
  • Presents insights and findings to upper management, recommending improvements to data strategy and network infrastructure.
Knowledge, Skills & Abilities 
  • Technical Expertise: Deep knowledge of machine learning, artificial intelligence, data mining, and predictive analytics. Proficient in Python, R, SQL, and common machine learning frameworks (e.g., TensorFlow, Scikit-learn).
  • Data Infrastructure: Strong experience working with big data tools (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud).
  • Problem-Solving: Ability to design and implement innovative solutions to complex problems, leveraging data to drive business improvements.
  • Communication: Excellent oral and written communication skills with the ability to explain complex technical concepts to non-technical audiences.
  • Collaboration: Proven ability to work across departments and manage multiple projects or tasks concurrently.
  • Leadership: Experience leading and mentoring teams, guiding them toward achieving technical excellence.
  • Security and Compliance: Familiarity with data security best practices, ensuring compliance with industry standards.
Non-Technical Skills
  • Project Management: Capable of managing multiple projects simultaneously while meeting deadlines and maintaining high standards of quality.
  • Self-Motivation: Uses initiative and independent judgment to undertake activities with minimal supervision.
  • Adaptability: Responds constructively to new information, changing conditions, and unexpected challenges.
  • Customer Service: Focuses on delivering value-driven, responsive solutions to both internal and external stakeholders.
 
Qualifications:
 Minimum Qualifications
Education and Experience 
  • Education: Bachelor’s degree in Data Science, Computer Science, Mathematics, or a related field equivalent professional experience may be considered.
  • Experience: 5+ years of experience in data science, data engineering, or related fields with hands-on experience in deploying machine learning models.
Preferred Education & Experience
  • Master’s or PhD in Data Science, Machine Learning, Computer Science, or a related field.
  • Experience in leading data science teams or large-scale projects within an enterprise setting.
  • Experience with Databricks, including designing, deploying, and optimizing machine learning models in the Databricks environment.
  • Expertise in cloud platforms, especially Azure and AWS, including experience with data storage, model deployment, and scaling cloud-based solutions.
  • Experience with Environmental Systems Research Institute (ESRI) and geographic information system (GIS) analytics, with a focus on spatial data analysis and location-based insights.
  • Strong background in Azure Data Services (e.g., Azure Data Lake, Azure Machine Learning) and AWS Machine Learning Services (e.g., SageMaker, Redshift, Lambda)..
Certifications
Relevant certifications in machine learning, data science, cloud computing, or network administration (e.g., AWS Certified Data Analytics, DataBricks, Microsoft Azure Data Scientist Associate) are highly desirable