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Junior Data Strategy Jobs (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 ...

Angenex

Remote Junior Data Analyst

Paterson, NJ · Remote

About the job Remote Junior Data Analyst Responsibilities: Provide essential support as a Junior ... Collect, analyze, and interpret data to identify trends and make strategic recommendations for ...

ROCS

Jr. Data Analyst

Reston, VA · Hybrid

$24/hr

We are seeking a detail-oriented and analytical Junior Data Analyst to support data-driven decision ... and strategic initiatives. Key Responsibilities: * Partner with internal teams to support data ...

Tech Tammina LLC

Jr. Data Analyst

Warren, MI · On-site

Role: Jr. Data Analyst Location: Warren, MI (Hybrid) Duration: 1 year Rate: Market Need local to MI ... Provide data-driven support for forecasting, scheduling audits, and strategy development.

Datafied

Junior Data Analyst

Anaheim, CA · On-site +1

We are seeking a detail-oriented and analytical Junior Data Analyst to join our team ... This role is responsible for transforming raw data into actionable insights that support strategic ...

ZS

Data Strategy Manager

Princeton, NJ · On-site

Mentor/coach junior members on the team, manage and collaborate with an extended global team of ... in Data Strategy and Life Science, working with consultancy firms, life science companies, or ...

ZS

Data Strategy Consultant

Princeton, NJ · On-site

Mentor/coach junior members in the team, inside and outside projects * Help build long-term Data Strategy assets and offerings * Serve as Subject Matter Expert to support teams in client project ...

ECS

Junior Data Engineer

Falls Church, VA · On-site

Department of War's (DoW) AI-First strategy introduced in early 2026. The WDP separates business ... The Junior Data Engineer supports the construction and day-to-day operation of WDP data pipelines ...

New

buyVerde

Junior Data Scientist (Remote)

Washington, DC · Remote

As one of the first employees, the Junior Data Scientist will work closely with the co-founding ... Develop ongoing strategy to improve KPI metrics and integrate with business plan. Responsible for ...

Redhorse Corporation

Junior Data Engineer

They are seeking a highly motivated Junior Data Engineer to support the US National Defense Strategy by transforming data into actionable insights that impact national security and modernization of ...

BrightStar Credit Union

Jr. Data Analyst

Hollywood, FL · On-site

$62K - $75K/yr

As a Jr. Data Analyst, you will play a crucial role in supporting the data-driven decision-making ... strategies. You will collaborate closely with senior analysts and cross-functional teams to ensure ...

New

SupportFinity

Junior Data Scientist

San Francisco, CA · Remote

$10K - $12K/yr

We're looking for a Junior Data Scientist who loves exploring data, uncovering insights, and ... strategies--all while growing your skills and contributing to a warm, open environment.

ZS

Data Strategy Associate Consultant

Princeton, NJ · On-site

Provide guidance to junior team members when appropriate * Contribute to building long-term Data Strategy assets and offerings * Support proposal development, client discussions and thought ...

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Junior Data Strategy information

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$29.5K

$66.7K

$118.5K

How much do junior data strategy jobs pay per year?

As of Jun 6, 2026, the average yearly pay for junior data strategy in the United States is $66,690.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $75,000.00 per year, depending on experience, location, and employer.

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

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.
More about Junior Data Strategy jobs
What cities are hiring for Junior Data Strategy jobs? Cities with the most Junior Data Strategy job openings:
What are the most commonly searched types of Data Strategy jobs? The most popular types of Data Strategy jobs are:
What states have the most Junior Data Strategy jobs? States with the most job openings for Junior Data Strategy jobs include:
What job categories do people searching Junior Data Strategy jobs look for? The top searched job categories for Junior Data Strategy jobs are:
Junior Data Strategy jobs near you
Infographic showing various Junior Data Strategy job openings in the United States as of May 2026, with employment types broken down into 1% Internship, 2% As Needed, 93% Full Time, 1% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $66,690 per year, or $32.1 per hour.

Data Scientist

nLeague Services Inc

Atlanta, GA • On-site

Contractor

Posted 10 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