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Junior Data Strategy Jobs in Georgia (NOW HIRING)

nLeague Services Inc

Data Scientist

Atlanta, GA · On-site

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 ...

UNITED STATES SOCCER FEDERATION 1

GA · On-site

Soccer is seeking a Junior Data Engineer to support strategic technology projects. This individual will join U.S. Soccer's growing product team and support scalable data warehouse solutions ...

New

Alliance Technical Group

SR Data Engineer

Atlanta, GA · On-site

$112K - $134K/yr

... data strategy. This position is remote but may follow a hybrid schedule for candidates located ... Mentor junior data engineers, providing technical guidance, code reviews, and best practices ...

B Capital

Data Scientist Sr Lead

Atlanta, GA · On-site

$120 - $180/hr

... strategies, product enhancements, and operational improvements * Analyze and mine large-scale ... Mentor and develop junior data scientists, fostering a culture of technical excellence, innovation ...

neptune technologies

Senior Data Scientist

Duluth, GA · On-site

... junior data scientists, and drive Neptune's AI transformation initiatives. This role provides ... strategy and identify new opportunities for data-driven innovation. Experience • 5+ years of ...

Neptune

Senior Data Scientist

Duluth, GA · On-site

... junior data scientists, and drive Neptune's AI transformation initiatives. This role provides ... strategy and identify new opportunities for data-driven innovation. Experience • 5+ years of ...

4pconsultinginc

Data Scientist II

Atlanta, GA · On-site

The ideal candidate is a strategic thinker who can translate business challenges into scalable analytical solutions while mentoring junior team members. Key Responsibilities Data Analysis & Insight ...

Deloitte

Technology Strategy Manager

Atlanta, GA · On-site

... data * Managing day-to-day client interactions, project plans, deliverables, and team coordination ... Coaching junior team members and driving quality, consistency, and timely delivery across ...

Deloitte

Technology Strategy Manager

Atlanta, GA

... data * Managing day-to-day client interactions, project plans, deliverables, and team coordination ... Coaching junior team members and driving quality, consistency, and timely delivery across ...

Clarkston Consulting

Data Architect

Atlanta, GA · On-site +1

$61.25 - $78.75/hr

Translate business goals and objectives into architectural strategies and technical solutions * Serve in a lead capacity on client initiatives * Mentor junior Data Architects and Data Engineers on ...

Worldpay, Inc.

Data Scientist Sr Lead

Atlanta, GA · On-site +1

... strategies, product enhancements, and operational improvements. * Analyze and mine large-scale ... Mentor and develop junior data scientists, fostering a culture of technical excellence, innovation ...

FIS

Data Scientist Sr Lead

Atlanta, GA · On-site +1

... strategies, product enhancements, and operational improvements. * Analyze and mine large-scale ... Mentor and develop junior data scientists, fostering a culture of technical excellence, innovation ...

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All JobsData Strategy JobsJunior Data Strategy JobsJunior Data Strategy Jobs in Georgia

Junior Data Strategy information

What are the key skills and qualifications needed to thrive as a junior data strategy professional?

To thrive as a Junior Data Strategy professional, you need a solid foundation in data analysis, business acumen, and a relevant degree such as in statistics, business, or computer science. Familiarity with data visualization tools (like Tableau or Power BI), SQL, and analytics platforms is typically required. Strong communication, problem-solving abilities, and attention to detail help you translate data insights into actionable business recommendations. These competencies ensure you can effectively support data-driven decision-making and contribute to organizational strategy.

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

AspectJunior Data StrategyData Analyst
Required CredentialsBachelor's in Business, Data Science, or related field; some certificationsBachelor's in Statistics, Mathematics, or related field; often similar certifications
Work EnvironmentCollaborative teams, strategic planning, cross-departmental projectsData collection, cleaning, analysis, reporting
Employer & Industry UsageBusiness strategy teams, consulting firms, tech companiesFinance, healthcare, marketing, tech industries

Junior Data Strategy roles focus on supporting strategic initiatives and planning using data insights, often working closely with business teams. Data Analysts primarily analyze data sets to generate reports and insights. While both roles require similar educational backgrounds and certifications, Junior Data Strategists are more involved in strategic planning, whereas Data Analysts focus on data processing and analysis.

What are typical responsibilities and collaborative dynamics for a junior data strategy professional?

As a Junior Data Strategy professional, you'll often support senior team members by collecting, cleaning, and analyzing data to inform business decisions. You may help prepare reports, contribute to data-driven presentations, and assist in developing data governance policies. This role frequently involves collaborating with departments such as IT, marketing, and business analytics to ensure that data solutions align with organizational goals. It's common to participate in cross-functional meetings, where your input helps shape strategies for data usage across the company.

What does a junior data strategy professional do?

A Junior Data Strategy professional assists in analyzing data, developing strategies to leverage data for business goals, and supporting data-driven decision-making. They often work with more senior strategists to collect, clean, and interpret data, and help implement best practices for data management. Their role may involve creating reports, identifying trends, and supporting cross-functional teams to ensure effective use of data across the organization.

How much does a junior data strategy make?

A junior data strategy role typically offers a salary ranging from $50,000 to $70,000 annually, depending on location, industry, and experience. Entry-level professionals in data strategy often have skills in data analysis, SQL, and business intelligence tools, which can influence compensation levels.
What are the most commonly searched types of Data Strategy jobs in Georgia? The most popular types of Data Strategy jobs in Georgia are:
What are popular job titles related to Junior Data Strategy jobs in Georgia? For Junior Data Strategy jobs in Georgia, the most frequently searched job titles are:
What job categories do people searching Junior Data Strategy jobs in Georgia look for? The top searched job categories for Junior Data Strategy jobs in Georgia are:
What cities in Georgia are hiring for Junior Data Strategy jobs? Cities in Georgia with the most Junior Data Strategy job openings:
Junior Data Strategy jobs near you
Infographic showing various Junior Data Strategy job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Scientist

nLeague Services Inc

Atlanta, GA • On-site

Contractor

Re-posted 15 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